# Data Platform Documentation

> OVHcloud Data Platform documentation

## Docs

- [Get started with your analytics application](https://docs.dataplatform.ovh.net/landing-page-getting-started.md): The Getting Started guide will teach you how to create an analytics project using the Platform, through concrete examples and best practices
- [Define, analyze and clean your data sources](https://docs.dataplatform.ovh.net/getting-started-connect-sources.md): In this step, you will learn how to connect your first data source to your Project
- [Create and Build your data models](https://docs.dataplatform.ovh.net/getting-started-organize-data.md): The Lakehouse Manager is the next component you will be using. Using the Lakehouse Manager let us plan out your data structure at the conceptual level
- [Configure data imports and transformations](https://docs.dataplatform.ovh.net/getting-started-prepare-data.md): The Data Processing Engine (DPE) is the component that lets you create and execute data pipelines outside and within the Platform
- [Create queries on your data](https://docs.dataplatform.ovh.net/getting-started-create-queries.md): The Analytics Manager allows you, thanks to a low-code approach, to prepare and centralize the queries matching your business KPIs
- [Deploy your first API](https://docs.dataplatform.ovh.net/getting-started-expose-api.md): An API is crucial as it is the interface between the external world (namely your applications) and the rest of your Project (i.e. your Lakehouse Manager
- [Build and deploy a front-end application](https://docs.dataplatform.ovh.net/getting-started-visualize-data.md): In this tutorial you'll learn how to build and deploy your first application. To make it easier for you, you won't start from scratch
- [Data Platform tutorials](https://docs.dataplatform.ovh.net/landing-page-tutorials.md): Complete use cases, end to end, with the code included.
- [Project checklist and best practices](https://docs.dataplatform.ovh.net/tutorials-project-checklist.md): You have decided to go along and you have just spun up your Project! As the first users of our platform we
- [Project setup & configuration](https://docs.dataplatform.ovh.net/landing-page-tutorials-project-setup.md): The work around a project, not the data inside it.
- [Customize your first application further](https://docs.dataplatform.ovh.net/tutorials-customize-first-app.md): In this tutorial you'll discover advanced features of the visual app builder to customize the visual aspects of a simple application
- [Develop your own application](https://docs.dataplatform.ovh.net/tutorials-app-development.md): In this advanced step-by-step guide, you will learn how to make your own custom application components, whether charts and dynamic filters
- [Build your app with an external repository](https://docs.dataplatform.ovh.net/tutorials-app-development-build.md): Here, you will learn how to set-up a React application and run it locally
- [Discover the app configuration files](https://docs.dataplatform.ovh.net/tutorials-app-development-config.md): Understand and edit the configuration files of a Data Platform application, from the global config to a dashboard
- [Create and edit components](https://docs.dataplatform.ovh.net/tutorials-app-development-components.md): In this tutorial, you will learn how to create and edit your first charts, and add them to your dashboards
- [Add custom components](https://docs.dataplatform.ovh.net/tutorials-app-development-custom-components.md): With the React framework, you can create your own components from scratch. These components can be used for two things: dynamic parameters and charts
- [Build a custom Front App with React, Vite & Shadcn](https://docs.dataplatform.ovh.net/tutorials-app-development-react-shadcn.md): This guide introduces the React Shadcn Vite application template, a developer-oriented starter kit for building fully custom front-end applications on top
- [Export or import a Project's configuration](https://docs.dataplatform.ovh.net/tutorials-export-import-config.md): It is possible to export and/or import your Projects' configurations for each component
- [Generate API and secret keys for a user / service account](https://docs.dataplatform.ovh.net/tutorials-generate-api-keys.md): If you want to connect to the Data Platform from outside of the platform, you will need to generate API and secret keys to authenticate
- [Learn versioning and repositories basics](https://docs.dataplatform.ovh.net/tutorials-versioning-basics.md): This tutorial demonstrates how to use the Platform's native versioning system or how to setup a Git repository to track the changes in your Data
- [Data ingestion & transformation](https://docs.dataplatform.ovh.net/landing-page-tutorials-data-engineering.md): Bring data in, then make it worth querying.
- [Stream data from Apache Kafka to the Platform](https://docs.dataplatform.ovh.net/tutorials-kafka.md): This tutorial demonstrates how to use the data from an Apache Kafka Broker in the platform
- [Build an IoT fleet-monitoring pipeline](https://docs.dataplatform.ovh.net/tutorials-iot-fleet-monitoring.md): This tutorial walks you through a complete, real-time pipeline on the Data Platform: streaming simulated IoT sensor telemetry from a Custom action into
- [Build the Superset dashboards](https://docs.dataplatform.ovh.net/tutorials-iot-fleet-monitoring-superset-dashboards.md): This page is the detailed companion to Step 7 of the IoT fleet-monitoring pipeline tutorial
- [Transform data from sources using the Python SDK](https://docs.dataplatform.ovh.net/tutorials-python-sdk-transform.md): We have prepared detailed guides and sample scripts for common use cases to help you get started quickly and efficiently
- [SQL Transformations within the OVHcloud Data Platform](https://docs.dataplatform.ovh.net/tutorials-sql-transformation.md): SQL (Structured Query Language) remains the most widely used and efficient language for querying and transforming structured data
- [Create and Build your data models - External Datasets](https://docs.dataplatform.ovh.net/tutorials-external-datasets.md): This tutorial will help you in using the Lakehouse Manager for the second step and the data processing engine for the third step of the getting started
- [Apply segmentation to your jobs](https://docs.dataplatform.ovh.net/tutorials-segmentation.md): Segmentation will allow you to unleash the Data Processing Engine's power of scalability
- [Discover segmentation "Based on an attribute of a Project table"](https://docs.dataplatform.ovh.net/tutorials-segmentation-table-attribute.md): Split an action into tasks, each handling values from a chosen attribute of a Lakehouse Manager table
- [Discover segmentation based on the date perimeter configured in the workflow](https://docs.dataplatform.ovh.net/tutorials-segmentation-workflow-dates.md): Often, for a daily usage, you will need to ask for your Data Processing Engine (DPE) actions to manage data corresponding to the X last days until today
- [Discover segmentation based on a predefined set of values](https://docs.dataplatform.ovh.net/tutorials-segmentation-predefined-values.md): Your actions can be executed on a set of values of your choice while segmenting on them at the same time
- [Discover segmentation by chunking source rows](https://docs.dataplatform.ovh.net/tutorials-segmentation-source-chunks.md): Sometimes, a CSV file might be huge to absorb. In this case you can choose to segment on the number of rows to improve total load speed
- [Discover segmentation over a set of files](https://docs.dataplatform.ovh.net/tutorials-segmentation-files.md): For sources with the same structure in a distant source folder, this segmentation mode allows the Data Processing Engine (DPE) to automatically find all
- [Discover segmentation over source accounts](https://docs.dataplatform.ovh.net/tutorials-segmentation-source-accounts.md): For sources like social media which are user account specific, it is possible to configure multiple accounts for the same source within the Lakehouse
- [Analytics & BI](https://docs.dataplatform.ovh.net/landing-page-tutorials-analytics-bi.md): Query it at scale, then put it in front of people.
- [Extract project data with Trino](https://docs.dataplatform.ovh.net/tutorials-trino-connector.md): This tutorial demonstrates how to use the Trino Connector to extract data from one project into another on the Platform
- [Integrating OVHcloud Data Platform with External Tools using Trino](https://docs.dataplatform.ovh.net/tutorials-trino-external-tools.md): This guide provides a comprehensive walkthrough for creating a Trino integration to be used in a third-party tool
- [Trino data types and casts](https://docs.dataplatform.ovh.net/tutorials-trino-types-and-casts.md): Whatever path you take to query your project over Trino, the SQL editor of the Explorer, a Trino consumer, or an external tool
- [Connecting Metabase to Data Platform via Trino](https://docs.dataplatform.ovh.net/tutorials-metabase-trino.md): This guide provides a step-by-step walkthrough to set up a connection between Metabase and Data Platform using Trino
- [NYC Taxi Dataset Analysis with PySpark on OVHcloud Data Platform](https://docs.dataplatform.ovh.net/tutorials-pyspark.md): Welcome to our comprehensive guide for analyzing New York City's taxi and ride-sharing data using PySpark on the OVHcloud Data Platform
- [NYC Yellow Taxi Dataset Analysis with PySpark Notebook](https://docs.dataplatform.ovh.net/tutorials-pyspark-single-dataset.md): This tutorial demonstrates how to efficiently use PySpark Notebook on the OVHcloud Data Platform to analyze the Yellow Taxi Trip Records
- [NYC Taxi Comparative Analysis Across Types with PySpark](https://docs.dataplatform.ovh.net/tutorials-pyspark-multi-dataset.md): This tutorial extends our previous analysis to compare trip patterns across four different NYC transportation datasets for January 2025: Yellow Taxi
- [PySpark Cheat Sheet: Essential and Advanced Functions on OVHcloud Data Platform](https://docs.dataplatform.ovh.net/tutorials-pyspark-cheat-sheet.md): This cheat sheet provides a concise guide to essential and advanced PySpark functions for data processing on the OVHcloud Data Platform
- [Enhance Your Data Analysis with AI Endpoints on the Data Platform](https://docs.dataplatform.ovh.net/tutorials-ai-endpoints.md): No more worries about imperfect datasets: import, clean, and visualize your data with the Data Platform
- [OVHcloud API: Billing Data Analysis Configuration](https://docs.dataplatform.ovh.net/tutorials-billing-analysis.md): This guide provides step-by-step instructions on configuring multiple endpoints for the OVHcloud Billing API
- [Deploying Apache Superset on OVHcloud Data Platform](https://docs.dataplatform.ovh.net/tutorials-install-apache-superset.md): This guide provides a comprehensive walkthrough for deploying Apache Superset on the OVHcloud Data Platform, covering installation, configuration
- [FinOps uses case with FOCUS and superset](https://docs.dataplatform.ovh.net/tutorials-finops-focus-superset.md): This guide provides step-by-step instructions on configuring your Data Project to take your first steps inside the FinOps with a FOCUS file
- [Prepare online store orders for a sales dashboard](https://docs.dataplatform.ovh.net/tutorials-ecommerce-sales.md): Find out how to load two years of online store orders into the Lakehouse, concatenate them and clean them with a Custom action
- [Build a sales dashboard for an online store in Superset](https://docs.dataplatform.ovh.net/tutorials-ecommerce-sales-superset-dashboard.md): Find out how to build a Superset sales dashboard for an online store: key figures, revenue, top products and customer loyalty
- [Data export & management](https://docs.dataplatform.ovh.net/landing-page-tutorials-data-export.md): The edges of a project: what leaves it, and who reaches it.
- [Export folders with a custom date](https://docs.dataplatform.ovh.net/tutorials-dated-export-folders.md): This tutorial demonstrates how to add a custom date to your folder names during the creation of the Data Processing Actions
- [How to set a role condition on a specific bucket](https://docs.dataplatform.ovh.net/tutorials-bucket-role-conditions.md): The Data Platform Identity Access Manager (IAM) allows you to set fine-grained conditions in your Project
- [Creating Event Handling Actions](https://docs.dataplatform.ovh.net/tutorials-custom-event-handling.md): In this article we will go through the steps required to create an action that allows you to handle events
- [Access your buckets with S3-compatible tools](https://docs.dataplatform.ovh.net/tutorials-bucket-s3-access.md): The buckets of a project speak the S3 protocol, so any S3-compatible client can read and write them: the AWS CLI, Rclone
- [Data Platform services](https://docs.dataplatform.ovh.net/landing-page-services.md): Seven services, documented in the order data moves through a project.
- [Data Platform connectors](https://docs.dataplatform.ovh.net/landing-page-connectors.md): Every system a project talks to, registered in one place.
- [Discover the key concepts in the Connectors](https://docs.dataplatform.ovh.net/connectors-key-concepts.md): The Connectors, being the central repository for all your data assets on the platform, is one of the most critical components in your Project
- [Connector sources](https://docs.dataplatform.ovh.net/landing-page-connectors-sources.md): Register once, then load, analyze and export from it.
- [Configure your connector](https://docs.dataplatform.ovh.net/connectors-sources-configure.md): The platform connectors allow you to import any data type, regardless of its source or format, into your platform
- [Collect data from the OVHcloud API](https://docs.dataplatform.ovh.net/connectors-sources-ovhcloud-api.md): The OVHcloud API follows REST principles: To set up the OVHcloud API source, you'll need to provide the following information
- [Stream Apache Kafka events into Data Platform](https://docs.dataplatform.ovh.net/connectors-sources-kafka.md): Apache Kafka is a distributed event store and stream-processing platform developed by the Apache Software Foundation
- [Collect Dropbox files with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-dropbox.md): Dropbox is a cloud storage service used for file sharing and collaborative work
- [Collect Facebook page insights with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-facebook.md): Collect data and insights from a Facebook page into the Data Platform, such as likes, views and comments
- [Upload files as Data Platform sources](https://docs.dataplatform.ovh.net/connectors-sources-upload-files.md): This simple connector allows you to upload your files as sources in the platform
- [Data Platform Buckets](https://docs.dataplatform.ovh.net/connectors-sources-dataplatform-buckets.md): The connector allows you to use files stored in your Project's buckets as data sources
- [Collect files from an FTP server](https://docs.dataplatform.ovh.net/connectors-sources-ftp.md): The File Transfer Protocol (FTP) is a standard network protocol used for the transfer of computer files between a client and server on a computer network
- [Collect Google Analytics 4 data with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-google-analytics.md): Google Analytics 4 (GA4) is Google's next-generation analytics platform that helps you understand customer behavior across websites and apps
- [Import files from a URL over HTTP](https://docs.dataplatform.ovh.net/connectors-sources-http.md): Please note that this connector only works if the files are directly listed on an HTML page
- [Import data from a REST API](https://docs.dataplatform.ovh.net/connectors-sources-rest.md): Once you have found HTTP REST in the store, click on Select and you will be able to see the configuration screen as shown below
- [Extract HubSpot CRM and marketing data](https://docs.dataplatform.ovh.net/connectors-sources-hubspot.md): The HubSpot connector extracts data from your HubSpot account: contacts, companies, deals, tickets, pipelines, forms, marketing emails, and more
- [HubSpot: Technical Reference](https://docs.dataplatform.ovh.net/connectors-sources-hubspot-technical-reference.md): This is the technical companion to the main HubSpot connector documentation
- [Microsoft Azure Blob Storage](https://docs.dataplatform.ovh.net/connectors-sources-blob-storage.md): You need to obtain the following information from Azure: On the Microsoft Azure console
- [Use MySQL database tables as Data Platform sources](https://docs.dataplatform.ovh.net/connectors-sources-mysql.md): MySQL is an open-source relational database management system. The Platform allows you to use the tables in a MySQL database as sources for your
- [Extract Odoo ERP data with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-odoo.md): The Odoo connector extracts data from any Odoo ERP instance: contacts, CRM leads, sales orders, invoices, products, inventory, HR, projects, and more
- [Odoo: Technical Reference](https://docs.dataplatform.ovh.net/connectors-sources-odoo-technical-reference.md): This is the technical companion to the main Odoo connector documentation
- [Extract Salesforce objects with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-salesforce.md): The Salesforce connector extracts data from your Salesforce org: standard and custom sObjects (Account, Contact, Opportunity, Lead, Case
- [Salesforce: Technical Reference](https://docs.dataplatform.ovh.net/connectors-sources-salesforce-technical-reference.md): This is the technical companion to the main Salesforce connector documentation
- [Collect files from an SFTP server](https://docs.dataplatform.ovh.net/connectors-sources-sftp.md): The Secure File Transfer Protocol (SFTP) is an alternative to FTP that also allows you to transfer files between a client and server on a computer
- [Extract Shopify store data with the GraphQL Admin API](https://docs.dataplatform.ovh.net/connectors-sources-shopify.md): The Shopify connector extracts data from your Shopify store via the GraphQL Admin API: products, customers, orders, inventory, marketing, B2B, payments
- [Shopify: Technical Reference](https://docs.dataplatform.ovh.net/connectors-sources-shopify-technical-reference.md): This is the technical companion to the main Shopify connector documentation
- [Use SQL Server database tables as Data Platform sources](https://docs.dataplatform.ovh.net/connectors-sources-sql-server.md): Microsoft SQL Server is a relational database management system. The Platform allows you to use the tables in a SQL Server database as sources for your
- [Extract Stripe payment data with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-stripe.md): The Stripe connector extracts data from your Stripe account: customers, charges, payment intents, subscriptions, invoices, products, balance transactions
- [Stripe: Technical Reference](https://docs.dataplatform.ovh.net/connectors-sources-stripe-technical-reference.md): This is the technical companion to the main Stripe connector documentation
- [Query external data sources with the Trino connector](https://docs.dataplatform.ovh.net/connectors-sources-trino.md): Trino is an open-source distributed SQL query engine for adhoc and batch ETL queries against multiple types of data sources
- [Collect X account insights with the Data Platform connector](https://docs.dataplatform.ovh.net/connectors-sources-twitter.md): The X connector is used to consolidate insights from a given X account. You can for instance get data from competitors' accounts
- [Collect healthcare data from a FHIR R4 server](https://docs.dataplatform.ovh.net/connectors-sources-fhir.md): HL7 FHIR Release 4 (FHIR R4) is a standard for exchanging healthcare data. The FHIR connector connects the Platform to your FHIR server
- [Connectors Analyzer](https://docs.dataplatform.ovh.net/landing-page-connectors-analyzer.md): Catch structure and typing problems before they reach a table.
- [Extract the metadata of a source](https://docs.dataplatform.ovh.net/connectors-analyzer-extract-metadata.md): Further, choose Sample data or Complete data to extract on the first 1,000 rows or on the entire table respectively
- [Clean data automatically with blueprint rules](https://docs.dataplatform.ovh.net/connectors-analyzer-blueprint-rules.md): Default blueprint rules apply simple cleaning logic, such as date formatting, to help you prepare data
- [Connector consumers](https://docs.dataplatform.ovh.net/landing-page-connectors-consumers.md): Read project data from the tools your teams already use.
- [Plug Power BI to your Data Platform](https://docs.dataplatform.ovh.net/connectors-consumers-power-bi.md): Are you or your teammates already proficient with Microsoft Power BI? If you want to use it as your analytics solution on top your Data Platform
- [Forward lineage events to an external tool with OpenLineage](https://docs.dataplatform.ovh.net/connectors-consumers-openlineage.md): The OpenLineage consumer lets you forward data lineage events generated by your Data Platform project to an external lineage solution of your choice
- [Generate a Trino connection string for external tools](https://docs.dataplatform.ovh.net/connectors-consumers-trino.md): A Trino consumer generates a ready-to-use Trino connection string in a few clicks
- [Lakehouse Manager](https://docs.dataplatform.ovh.net/landing-page-lakehouse-manager.md): Datasets, tables, buckets, lineage and column-level access in one store.
- [Discover the key concepts in the Lakehouse Manager](https://docs.dataplatform.ovh.net/lakehouse-manager-key-concepts.md): At the heart of your data-driven initiatives, the Lakehouse Manager stands as the pivotal hub for all your data assets
- [Organize tables into Lakehouse Manager datasets](https://docs.dataplatform.ovh.net/lakehouse-manager-datasets.md): Datasets are logical groupings of tables sharing default parameters, in Standard or External form
- [Manage tables in the Lakehouse Manager](https://docs.dataplatform.ovh.net/lakehouse-manager-tables.md): When you access the Tables tab, you will be in the Canvas view-mode, selected by default
- [Manage a table in Lakehouse Manager](https://docs.dataplatform.ovh.net/lakehouse-manager-manage-tables.md): There are six table interactions in total. ' icon after clicking on the table
- [Restore previous table versions with Time Travel](https://docs.dataplatform.ovh.net/lakehouse-manager-time-travel.md): Time Travel is a powerful feature in Lakehouse Manager that enables you to view, explore, and restore previous versions of your tables
- [Save a SQL query as a reusable view](https://docs.dataplatform.ovh.net/lakehouse-manager-views.md): Views let you save a SQL SELECT query as a named, reusable virtual table inside a dataset and query it like a table
- [Manage table attributes in the Lakehouse Manager](https://docs.dataplatform.ovh.net/lakehouse-manager-attributes.md): The Attributes page groups all the attributes in your lakehouse Manager by unique attribute names
- [Store unstructured data in S3-compatible Data Platform buckets](https://docs.dataplatform.ovh.net/lakehouse-manager-buckets.md): Data Platform Buckets are S3 compatible object stores which allow you to store any unstructured data
- [Explore your data with the Lakehouse Manager Explorer](https://docs.dataplatform.ovh.net/lakehouse-manager-explorer.md): The Explorer is a powerful and flexible tool designed to perform exploratory data analysis in an easy-to-use interface
- [Trace how data flows through your project with lineage](https://docs.dataplatform.ovh.net/lakehouse-manager-lineage.md): Lineage is recorded automatically for Load and Aggregate actions (Python and PySpark), and is opt-in for Custom actions and notebooks through the SDK
- [Control data access with policy tags](https://docs.dataplatform.ovh.net/lakehouse-manager-policy-tags.md): Policy tags enable fine-grained data access control by assigning key-value labels to datasets, tables, and attributes
- [CEL Conditions & Access Patterns](https://docs.dataplatform.ovh.net/lakehouse-manager-policy-tags-cel-conditions.md): This page covers how to grant users access to policy-tagged data using CEL (Common Expression Language) conditions
- [Testing & Troubleshooting](https://docs.dataplatform.ovh.net/lakehouse-manager-policy-tags-testing.md): This page covers how to test policy tag access control and troubleshoot common errors
- [Example: Team Access with Groups](https://docs.dataplatform.ovh.net/lakehouse-manager-policy-tags-groups-example.md): This walkthrough demonstrates how to use policy tags together with IAM groups and roles to manage data access for team members
- [Restrict which rows a user can see with row filters](https://docs.dataplatform.ovh.net/lakehouse-manager-row-filters.md): Row filters restrict which rows of a table a user or group can see when they query it, without duplicating the table
- [Data Processing Engine](https://docs.dataplatform.ovh.net/landing-page-dpe.md): Actions, workflows and notebooks, and the jobs that run them.
- [Data Processing Engine actions](https://docs.dataplatform.ovh.net/landing-page-dpe-actions.md): Twenty-one action types, one JSON document each.
- [Create and manage actions](https://docs.dataplatform.ovh.net/dpe-actions-manage.md): Creating an action, keeping several versions of it, and syncing those versions with Git are one workflow rather than three
- [Load raw source data into your warehouse with the Load action](https://docs.dataplatform.ovh.net/dpe-actions-load.md): This article is about actions that use Data Platform's proprietary Python data processing engine. To use Apache Spark clusters, see Load PySpark action
- [Advanced mode for the Load action](https://docs.dataplatform.ovh.net/dpe-actions-load-advanced-mode.md): Customize a Load action directly in its JSON configuration, and the options that differ from Aggregate
- [Load PySpark Action](https://docs.dataplatform.ovh.net/dpe-actions-load-pyspark.md): It is usually the first step in any data processing system, necessary before running any other processes on data coming from connected sources
- [Transform data between tables with the Aggregate action](https://docs.dataplatform.ovh.net/dpe-actions-aggregate.md): This article is about actions that use Data Platform's proprietary Python data processing engine
- [Advanced mode for the Aggregate action](https://docs.dataplatform.ovh.net/dpe-actions-aggregate-advanced-mode.md): Customize an Aggregate action further by working directly on its JSON configuration in advanced mode
- [Aggregate PySpark Action](https://docs.dataplatform.ovh.net/dpe-actions-aggregate-pyspark.md): Each destination attribute needs to be mapped to a source attribute. When multiple source tables are selected
- [Run SQL statements with the SQL action](https://docs.dataplatform.ovh.net/dpe-actions-sql.md): The SQL action lets you write a SQL query and run it against your datasets and tables as a Data Processing Engine action
- [Run custom Python scripts with the Custom action](https://docs.dataplatform.ovh.net/dpe-actions-custom.md): This article is about actions that use the Data Platform's Python data processing engine. To use Apache Spark clusters, see Custom PySpark action
- [Packages preloaded in Data Platform action containers](https://docs.dataplatform.ovh.net/dpe-actions-custom-default-packages.md): All actions & workflows when launched are built and run in containers which come with preloaded packages
- [Custom PySpark Action](https://docs.dataplatform.ovh.net/dpe-actions-custom-pyspark.md): Using our Software Development Kit (SDK) to easily interact with the different components of the platform
- [File Transfer Action](https://docs.dataplatform.ovh.net/dpe-actions-file-transfer.md): This action is designed to efficiently duplicate data, always preserving the source's full path structure within the destination
- [Load to Bucket Action](https://docs.dataplatform.ovh.net/dpe-actions-load-to-bucket.md): You can choose the file format. To create a new action, navigate to the Action tab of the Data Processing Engine (DPE)
- [Export Table to Source Action](https://docs.dataplatform.ovh.net/dpe-actions-export-table-to-source.md): This action facilitates moving processed or raw data from your managed Lakehouse environment into external databases or other systems supported by
- [CSV to PostgreSQL Action](https://docs.dataplatform.ovh.net/dpe-actions-csv-to-postgresql.md): By default, this action appends data to an existing table, with an explicit option to entirely overwrite its contents
- [MySQL to Parquet Action](https://docs.dataplatform.ovh.net/dpe-actions-mysql-to-parquet.md): The data from your MySQL table will be stored in a highly efficient Parquet file format within your chosen object storage bucket
- [PostgreSQL to CSV Action](https://docs.dataplatform.ovh.net/dpe-actions-postgresql-to-csv.md): The data from your PostgreSQL table will be stored in a comma-separated values (CSV) file format within your chosen object storage bucket
- [PostgreSQL to Parquet Action](https://docs.dataplatform.ovh.net/dpe-actions-postgresql-to-parquet.md): You can choose the file format. To create a new action, navigate to the Action tab of the Data Processing Engine (DPE)
- [Convert cumulative values to daily deltas with the Diff action](https://docs.dataplatform.ovh.net/dpe-actions-diff.md): When you have tables which contain dated attributes describing total values (total daily orders, total monthly revenue, etc.) at a given time
- [Empty tables with the Delete action](https://docs.dataplatform.ovh.net/dpe-actions-delete.md): This action is used to empty one, or multiple, tables in the database
- [Delete Diff Action](https://docs.dataplatform.ovh.net/dpe-actions-delete-diff.md): This action is used to delete obsolete entries that existed at one time but no longer exist. Compatible with all Data Platform data engines
- [Delete Bucket Action](https://docs.dataplatform.ovh.net/dpe-actions-delete-bucket.md): You can choose to delete the entire bucket contents or target specific paths for deletion
- [Rebuild a table from scratch with the Rebuild action](https://docs.dataplatform.ovh.net/dpe-actions-rebuild.md): The Rebuild action entirely rebuilds an existing table by creating a new physical table with the same schema and inserting all of its data into it
- [Remove duplicate rows with the Deduplicate action](https://docs.dataplatform.ovh.net/dpe-actions-deduplicate.md): The Deduplicate action removes duplicate rows from a table, in place, keeping exactly one row per deduplication key
- [Optimize table storage with maintenance actions](https://docs.dataplatform.ovh.net/dpe-actions-maintenance.md): Users want the data to load almost instantly in their final consumer endpoint whether an API or a visual dashboard application
- [Send OpenLineage Events](https://docs.dataplatform.ovh.net/dpe-actions-send-openlineage-events.md): It reads lineage events recorded by the platform and pushes them to your lineage backend using the OpenLineage standard
- [Orchestrate ETL pipelines with Data Platform workflows](https://docs.dataplatform.ovh.net/dpe-workflows.md): Workflows are basically your orchestrated ETL and data processing pipelines on the Platform
- [Configure a workflow in the Advanced mode](https://docs.dataplatform.ovh.net/dpe-workflows-advanced-mode.md): Workflows can also be configured directly using a JSON configuration. To access the JSON configuration for a new workflow
- [Run Jupyter notebooks on Data Platform](https://docs.dataplatform.ovh.net/dpe-notebooks.md): Notebooks are a built-in integration of Jupyter Notebooks on Data Platform
- [Data Platform Extension](https://docs.dataplatform.ovh.net/dpe-notebooks-data-platform-extension.md): Browse the documentation, explore your datasets and buckets, run read-only SQL, open ready-to-use notebooks wired to your own data
- [Integrate OVH AI Endpoints with Jupyter AI](https://docs.dataplatform.ovh.net/dpe-notebooks-jupyter-ai-extension.md): The Jupyter AI extension brings the power of generative AI directly into your notebook environment, allowing you to interact with large language models
- [Reuse execution configurations with environments](https://docs.dataplatform.ovh.net/dpe-environments.md): Environments allow you to save and re-use quickly a set of configurations and execution preferences in actions and workflows
- [Data Processing Engine jobs](https://docs.dataplatform.ovh.net/landing-page-dpe-jobs.md): Every run leaves a record you can inspect and tune.
- [Configure job execution preferences](https://docs.dataplatform.ovh.net/dpe-jobs-preferences.md): Each action or workflow in the Data Processing Engine has several configuration settings which can be managed via the Preferences tab
- [Scale Data Processing Engine resources](https://docs.dataplatform.ovh.net/dpe-jobs-resources.md): The Platform is designed to scale easily as the requirements of your data Project evolve
- [Split large jobs with segmentation](https://docs.dataplatform.ovh.net/dpe-jobs-segmentation.md): When executing an action in the Data Processing Engine, it is important to think about the amount of data that will be processed
- [Filter job execution with the data perimeter](https://docs.dataplatform.ovh.net/dpe-jobs-perimeter.md): When executing a data processing job, when you reach large volumes of data to process, you may need to filter the execution of an action
- [Spark History Server](https://docs.dataplatform.ovh.net/dpe-spark-history-server.md): It applies to PySpark-based actions (Load PySpark, Aggregate PySpark, Custom PySpark) and the workflows that run them
- [Manage Data Processing Engine repositories and quotas](https://docs.dataplatform.ovh.net/dpe-settings.md): The settings tab allows you to manage your Data Processing Engine repositories and quotas
- [Analytics Manager](https://docs.dataplatform.ovh.net/landing-page-analytics-manager.md): Query the lakehouse, chart the answer, publish the dashboard.
- [Create versioned SQL queries in the Analytics Manager](https://docs.dataplatform.ovh.net/analytics-manager-queries.md): The core feature of the Analytics Manager is to provide versioned queries, which can be run on the fly or used in dashboards or front-end applications
- [Use the visual builder](https://docs.dataplatform.ovh.net/analytics-manager-queries-visual-builder.md): The visual builder offers a generic way to query stored information using a specific proprietary framework built on top of open-source query engines
- [Use the SQL editor](https://docs.dataplatform.ovh.net/analytics-manager-queries-sql-editor.md): The Analytics Manager SQL editor lets you use SQL to write query statements on either your databases, or directly on sources
- [Visualize a query as a chart](https://docs.dataplatform.ovh.net/analytics-manager-queries-charts.md): By default, all queries that are executed are displayed in the interface in a table format
- [Build dashboards in the Analytics Manager](https://docs.dataplatform.ovh.net/analytics-manager-dashboards.md): Dashboards let you arrange charts on a single page to visualize and monitor your data in real-time
- [Add content to a dashboard](https://docs.dataplatform.ovh.net/analytics-manager-dashboards-edit.md): Dashboards are made up of the following elements: You can add as many tiles and filters as you want to a dashboard
- [Publish a dashboard](https://docs.dataplatform.ovh.net/analytics-manager-dashboards-publish.md): Dashboards are designed to be shared with the rest of your team. This is why each dashboard can be opened as a live published version
- [Review query execution history](https://docs.dataplatform.ovh.net/analytics-manager-history.md): The history tab allows you to see the list of the latest query executions such as
- [Manage Analytics Manager repositories and cache](https://docs.dataplatform.ovh.net/analytics-manager-settings.md): The settings tab allows you to manage your Analytics Manager repositories and cache. The Analytics Manager has a cache on executed queries
- [Manage the Analytics Manager query engine](https://docs.dataplatform.ovh.net/analytics-manager-resources.md): The resources tab allows you to manage the query engine of your Project, i.e. the technology powering SQL analytics in the Project
- [Application Services](https://docs.dataplatform.ovh.net/landing-page-app-services.md): Deploy it once; the platform runs it, scales it and authenticates it.
- [Application APIs](https://docs.dataplatform.ovh.net/landing-page-app-services-apis.md): One authenticated path out of the platform.
- [Create and deploy an API](https://docs.dataplatform.ovh.net/app-services-apis-deploy.md): From your Project's home page, click on + inside the API module. You will be able to choose between an existing API template from the internal Platform
- [API management interface](https://docs.dataplatform.ovh.net/app-services-apis-interface.md): Once an API has been created, you will be able to access its management interface
- [API extensions list](https://docs.dataplatform.ovh.net/app-services-apis-extensions-list.md): Adding an extension requires you to reload your API (on the Overview page) in order to be able to build it
- [Data Platform applications](https://docs.dataplatform.ovh.net/landing-page-app-services-apps.md): From a template or a Git import to a running web application.
- [Create and deploy an app](https://docs.dataplatform.ovh.net/app-services-apps-deploy.md): Creating an app, building an artifact from it, deploying a version and pointing a domain at it are one workflow
- [Build application dashboards with graphical components](https://docs.dataplatform.ovh.net/app-services-apps-dashboards.md): The Platform allows you to create custom analytics applications using a set of graphical components made available
- [Customize your application style with CSS and LESS](https://docs.dataplatform.ovh.net/app-services-apps-style.md): Within an application, the Platform allows to modify the style and design
- [Add features to your application with extensions](https://docs.dataplatform.ovh.net/app-services-apps-extensions.md): Extensions are a list of packages, accessible through the extensions tab, which can provide your application with additional features
- [Configure application menus and navigation](https://docs.dataplatform.ovh.net/app-services-apps-menus.md): The Platform makes it possible and simple to build complex analytics applications - with multiple pages, redirects
- [Translate your application into multiple languages](https://docs.dataplatform.ovh.net/app-services-apps-translations.md): Applications created on the Platform are multilingual by nature. The fields to translate as well as the languages ​​available for the application can be
- [Format displayed data with the application formatter](https://docs.dataplatform.ovh.net/app-services-apps-formatter.md): Data displayed in the different dashboards of an application are often very different, coming from various sources
- [Link your app with a GIT repository](https://docs.dataplatform.ovh.net/app-services-apps-git-integration.md): Give read and write privileges on a Git repository to your Data Platform application
- [Configure a custom domain for your application](https://docs.dataplatform.ovh.net/app-services-apps-custom-domain.md): It is easy to change your application's subdomains by changing its global settings but it'll always be followed by the domain eu.dataplatform.ovh.net such
- [Control Center](https://docs.dataplatform.ovh.net/landing-page-control-center.md): See what every component is doing, and act when it misbehaves.
- [Monitor Project infrastructure metrics](https://docs.dataplatform.ovh.net/control-center-monitoring.md): Monitoring panels are dashboards built to monitor key infrastructure metrics about all the elements in a Project
- [Control Center alerts](https://docs.dataplatform.ovh.net/landing-page-control-center-alerting.md): Know about a failed job or an unhealthy deployment before your users do.
- [Configure a job execution alert](https://docs.dataplatform.ovh.net/control-center-alerting-job-execution.md): Alerts can be set to monitor job execution metrics on the Platform, such as the status of the job execution or the average CPU usage during it
- [Configure a health check alert](https://docs.dataplatform.ovh.net/control-center-alerting-health-checks.md): Alerts can be set to monitor metrics of deployed instances on the Platform, such as the status of APIs or the CPU usage of a query engine
- [Add subscribers to an alert](https://docs.dataplatform.ovh.net/control-center-alerting-subscribers.md): Subscribers are the people who receive the email an alert sends when its trigger conditions are met
- [Monitor all job executions in Jobs Central](https://docs.dataplatform.ovh.net/control-center-jobs-central.md): The Jobs Central is the watchtower from where all job executions on the platform - past, present, queued and scheduled - can be monitored
- [Query and export job logs with the Logs Explorer](https://docs.dataplatform.ovh.net/control-center-logs-explorer.md): The Logs Explorer is a comprehensive tool to query and export logs from job executions and live deployments on the Data Platform
- [Audit activity on Data Platform for compliance](https://docs.dataplatform.ovh.net/control-center-auditing.md): Every create, update, delete and administrative action performed on a resource is recorded as an audit event
- [Identity Access Manager](https://docs.dataplatform.ovh.net/landing-page-iam.md): Who can do what, from the organization down to a single column.
- [Manage organization authentication and access](https://docs.dataplatform.ovh.net/iam-organization.md): Manage authentication requirements and resource access for the members of your organization
- [Configure organization authentication requirements](https://docs.dataplatform.ovh.net/iam-organization-authentication.md): In the Authentication Settings tab you can set global authentication and login requirements and configurations for users of the organization
- [Multi-Factor Authentication (MFA) Setup Guide](https://docs.dataplatform.ovh.net/iam-organization-mfa-setup.md): This guide will walk you through enabling Multi-Factor Authentication (MFA) on your account
- [Project IAM](https://docs.dataplatform.ovh.net/landing-page-iam-project.md): Applications, providers and permissions for a single project.
- [Manage authentication for deployed applications](https://docs.dataplatform.ovh.net/iam-application-authentication.md): When an application is deployed on the platform, it is automatically created in the Identity Access Manager as a separate entity for which you can manage
- [Configure authentication providers for your Project](https://docs.dataplatform.ovh.net/iam-auth-providers.md): The Identity Access Manager (IAM) lets you configure the authentication methods used to login to your Project and your applications
- [Set up custom mapping for authentication provider](https://docs.dataplatform.ovh.net/iam-auth-providers-custom-mapping.md): Assign Data Platform groups and roles automatically to users signing in through an authentication provider
- [Set up SSO authentication with Azure AD](https://docs.dataplatform.ovh.net/iam-auth-providers-azure-ad.md): Do you have an Azure Active Directory in your company? If you want to use it to login to your Data Platform apps, this guide is for you
- [Set up SSO authentication with Okta](https://docs.dataplatform.ovh.net/iam-auth-providers-okta.md): Are you using Okta for your identity and user management and want to use it to login to your Data Platform apps
- [Set up SSO authentication with Auth0](https://docs.dataplatform.ovh.net/iam-auth-providers-auth0.md): Is your company identity management handled on Auth0? If you want to use it to login to your Data Platform apps, this guide is for you
- [Users, roles and groups](https://docs.dataplatform.ovh.net/landing-page-iam-users.md): Principals, and the permissions granted to them.
- [Manage Project users in the Identity Access Manager](https://docs.dataplatform.ovh.net/iam-users.md): How people are registered in a Project, as team members of your organization or as application end-users
- [Create service accounts for API and automated access](https://docs.dataplatform.ovh.net/iam-service-accounts.md): A service account is a special kind of account used by API consumers, remote server access, scripts, or other automated entities
- [Roles and conditions](https://docs.dataplatform.ovh.net/iam-roles-conditions.md): Data Platform uses a role-based access control approach to manage rights in Projects
- [Assign roles to multiple users with IAM groups](https://docs.dataplatform.ovh.net/iam-groups.md): Groups enable you to assign the same roles to multiple users or service accounts at once
- [Manage your platform](https://docs.dataplatform.ovh.net/landing-page-manage.md): Organizations, projects, billing and the interface itself.
- [Navigate the platform](https://docs.dataplatform.ovh.net/manage-navigation.md): Upon logging-in, you will arrive at the Platform Home (or Homepage). From any page in the platform, including the Home
- [Understanding Data Platform pricing](https://docs.dataplatform.ovh.net/manage-pricing.md): Data Platform is billed pay-as-you-go. There are no up-front costs, no per-user licence and no data transfer charges: you pay for the compute you run
- [Organizations and user profiles](https://docs.dataplatform.ovh.net/manage-organizations.md): Organizations are the compartmentalized teams that link individual users (or members) and Projects as well as their services together
- [Create an account on Data Platform](https://docs.dataplatform.ovh.net/manage-organizations-signin-signup.md): ForePaaS Legacy Platform no longer accepts new signups. If your company would like to get started on the platform, please use OVHcloud Data Platform
- [Manage your organization settings](https://docs.dataplatform.ovh.net/manage-organizations-settings.md): To open the settings of an organization, navigate to the top right of the screen and hover over the gear icon
- [User Profile Guide](https://docs.dataplatform.ovh.net/manage-organizations-profile.md): Creating your own user profile is the first necessary step in order to use the platform
- [Delete an organization](https://docs.dataplatform.ovh.net/manage-organizations-delete.md): Deleting an organization ensures that all resources associated in this organization are permanently deleted
- [Projects and services](https://docs.dataplatform.ovh.net/manage-projects.md): On the Platform, a Project is a cloud environment with dedicated resources that contains all the components required to manage your data's lifecycle
- [Navigate your Project from the Project home](https://docs.dataplatform.ovh.net/manage-projects-home.md): The Project home is the central hub of your Project. It displays all the services in the form of Service Cards that are arranged into Sections
- [Create a Project](https://docs.dataplatform.ovh.net/manage-projects-create.md): Creating a new Project only takes a few minutes! It is possible to choose the cloud provider and region for your data (cloud or on-premise) as well as
- [Find your Project configuration variables](https://docs.dataplatform.ovh.net/manage-projects-config-variables.md): Some configuration variables for your project are presented on this page
- [Delete a Project](https://docs.dataplatform.ovh.net/manage-projects-delete.md): Deleting a Project completely and permanently erases its data. Use only when necessary! You can delete a Project via the Project Card menu in the Homepage
- [Data Platform for developers](https://docs.dataplatform.ovh.net/landing-page-developers.md): Drive a project in code: public APIs and three SDKs.
- [Data Platform APIs](https://docs.dataplatform.ovh.net/landing-page-developers-apis.md): Authentication today, the rest of the platform as it ships.
- [Authenticate against the Data Platform IAM API](https://docs.dataplatform.ovh.net/developers-api-authentication.md): This page contains the API reference for the Identity Access Manager (IAM)
- [Custom Actions SDK](https://docs.dataplatform.ovh.net/landing-page-developers-python-sdk.md): Read and write project data from the code that runs inside it.
- [Custom Action with Lakehouse Manager tables](https://docs.dataplatform.ovh.net/developers-python-sdk-quick-start-dataset.md): This short example shows how to extract data from a table in Lakehouse Manager, transform it and then insert it or update the Lakehouse Manager
- [Custom Action with Data Platform Buckets](https://docs.dataplatform.ovh.net/developers-python-sdk-quick-start-bucket.md): Sometimes you need to handle a complex file format beyond our Load Action capabilities
- [Custom Action with Connectors source directly](https://docs.dataplatform.ovh.net/developers-python-sdk-quick-start-source.md): This example will show you how to get a file directly from a Connectors Source, treat it and put the treated data into a Lakehouse Manager Table
- [PySpark Use Cases](https://docs.dataplatform.ovh.net/developers-python-sdk-quick-start-spark.md): Five PySpark use cases with the Data Platform Python SDK, from reading a bucket to writing to object storage
- [Connectors and Connection Strings](https://docs.dataplatform.ovh.net/developers-python-sdk-connectors.md): In Data Platform's Project, all available data are defined and configured in the Lakehouse Manager
- [Lakehouse Manager Dataset connector](https://docs.dataplatform.ovh.net/developers-python-sdk-connect-dataset.md): In order to create a Connector and use it to interact with a Lakehouse Manager table, you can connect to the Default Dataset or to a Custom Dataset
- [Data Platform Buckets connector](https://docs.dataplatform.ovh.net/developers-python-sdk-connect-bucket.md): In the current Data Platform SDK, the Datastore connector is used to interact with the Data Platform Buckets
- [Connect PySpark with the Data Platform Python SDK](https://docs.dataplatform.ovh.net/developers-python-sdk-connect-spark.md): Do not hesitate to check out the sample code for common use cases. When you create a Custom PySpark action, two things are done by Data Platform
- [SDK reference: connect and bulk_insert](https://docs.dataplatform.ovh.net/developers-python-sdk-reference.md): The two functions every script in the Custom Actions SDK starts from: connect() to reach a dataset, table, bucket or source
- [Use environment variables in a Custom action](https://docs.dataplatform.ovh.net/developers-python-sdk-use-environment-variables.md): Set environment variables for a Custom action in the preferences or in the JSON advanced mode
- [Use segmentation (and perimeter) in a Custom action](https://docs.dataplatform.ovh.net/developers-python-sdk-segmentation.md): In a Custom action, you can fully benefit from the segmentation system and even go further
- [Override a Load action](https://docs.dataplatform.ovh.net/developers-python-sdk-load-override.md): In a Custom action, you can re-use existing action types, overriding some parameters or creating "hooks"
- [Use custom Python modules from a Git repository](https://docs.dataplatform.ovh.net/developers-python-sdk-git.md): In some cases, you will want to use your own and already existing Python code
- [Track data lineage in a Custom action](https://docs.dataplatform.ovh.net/developers-python-sdk-lineage.md): Data Platform records lineage events automatically for Load and Aggregate actions, Python and PySpark alike (including schema and column-level lineage)
- [Front App and API SDKs](https://docs.dataplatform.ovh.net/developers-front-sdks.md): The Front APP SDK (ReactJS) and the Front API SDK (NodeJS) are both being replaced
- [Application Development SDK](https://docs.dataplatform.ovh.net/sdk/app.md)
- [Dynamic Parameters](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters.md)
- [Checkbox](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-checkbox.md)
- [Datepicker](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-datepicker.md)
- [Daypicker](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-daypicker.md)
- [Monthpicker](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-monthpicker.md)
- [Monthspicker](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-monthspicker.md)
- [Radio](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-radio.md)
- [Selectbox](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-selectbox.md)
- [Toggle](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-list-toggle.md)
- [Formatters](https://docs.dataplatform.ovh.net/sdk/app-formatter.md)
- [Charts in Application SDK](https://docs.dataplatform.ovh.net/sdk/app-charts.md)
- [Chart HTML](https://docs.dataplatform.ovh.net/sdk/app-charts-chart-html.md)
- [Chart Table](https://docs.dataplatform.ovh.net/sdk/app-charts-chart-table.md)
- [Recharts](https://docs.dataplatform.ovh.net/sdk/app-charts-chart-recharts.md)
- [JVectorMap](https://docs.dataplatform.ovh.net/sdk/app-charts-jvectormap.md)
- [Chart templates](https://docs.dataplatform.ovh.net/sdk/app-charts-template.md)
- [Create a second template based on a first template using *extends*](https://docs.dataplatform.ovh.net/sdk/app-charts-template-extends.md)
- [Panel](https://docs.dataplatform.ovh.net/sdk/app-container-panel.md)
- [Tabs](https://docs.dataplatform.ovh.net/sdk/app-container-tabs.md)
- [Switch](https://docs.dataplatform.ovh.net/sdk/app-container-switch.md)
- [Button](https://docs.dataplatform.ovh.net/sdk/app-basic-ui-button.md)
- [HTML](https://docs.dataplatform.ovh.net/sdk/app-basic-ui-html.md)
- [Image](https://docs.dataplatform.ovh.net/sdk/app-basic-ui-image.md)
- [Link](https://docs.dataplatform.ovh.net/sdk/app-basic-ui-link.md)
- [Select Lang](https://docs.dataplatform.ovh.net/sdk/app-basic-ui-select-lang.md)
- [Username](https://docs.dataplatform.ovh.net/sdk/app-basic-ui-username.md)
- [Create custom components](https://docs.dataplatform.ovh.net/sdk/app-custom-component.md)
- [Create custom charts](https://docs.dataplatform.ovh.net/sdk/app-custom-chart.md)
- [Create a custom Dynamic Parameter](https://docs.dataplatform.ovh.net/sdk/app-dynamic_parameters-create.md)
- [Troubleshooting & FAQ](https://docs.dataplatform.ovh.net/sdk/app-faq.md)
- [Front API SDK](https://docs.dataplatform.ovh.net/sdk/api.md)
- [Structure of an API on Data Platform](https://docs.dataplatform.ovh.net/sdk/api-api-files.md)
- [Launch an API in a local environment](https://docs.dataplatform.ovh.net/sdk/api-api-launch.md)
- [Manage modules](https://docs.dataplatform.ovh.net/sdk/api-configure-module.md)
- [Handle queries](https://docs.dataplatform.ovh.net/sdk/api-queries.md)
- [Create Transformers for Analytics Manager queries](https://docs.dataplatform.ovh.net/sdk/api-qb-transformers.md)
- [Create a custom endpoint for Analytics Manager queries](https://docs.dataplatform.ovh.net/sdk/api-qb-endpoint.md)
- [Customize Analytics Manager ACL rules in Front API](https://docs.dataplatform.ovh.net/sdk/api-qb-acl.md)
- [Create custom endpoints](https://docs.dataplatform.ovh.net/sdk/api-custom-endpoints.md)
- [Expose a file from your buckets](https://docs.dataplatform.ovh.net/sdk/api-download-file-datastore.md)
- [ForePaaS Legacy Platform](https://docs.dataplatform.ovh.net/legacy/index.md)
- [Storage engines](https://docs.dataplatform.ovh.net/legacy/project-storage-engine.md)
- [Settings](https://docs.dataplatform.ovh.net/legacy/lakehouse-manager-settings.md)
- [Profile and organizations](https://docs.dataplatform.ovh.net/legacy/account-setup.md)
- [Create a ForePaaS account](https://docs.dataplatform.ovh.net/legacy/account-setup-create-account.md)
- [Edit your ForePaaS account](https://docs.dataplatform.ovh.net/legacy/account-setup-edit-account.md)
- [Create or join an organization](https://docs.dataplatform.ovh.net/legacy/account-setup-organization-create.md)
- [Edit organization settings](https://docs.dataplatform.ovh.net/legacy/account-setup-organization-settings.md)
- [Add members to an organization](https://docs.dataplatform.ovh.net/legacy/account-setup-organization-invite-user.md)
- [Machine Learning Manager](https://docs.dataplatform.ovh.net/legacy/ml.md)
- [Notebooks](https://docs.dataplatform.ovh.net/legacy/ml-notebooks.md)
- [Create a notebook](https://docs.dataplatform.ovh.net/legacy/ml-notebooks-create.md)
- [Pipelines](https://docs.dataplatform.ovh.net/legacy/ml-pipelines.md)
- [Configure a pipeline](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure.md)
- [Data preparation](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-dataset.md)
- [Dataset generation](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-dataset-input.md)
- [Feature engineering](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-dataset-features.md)
- [Training procedure](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training.md)
- [Standard estimators](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-standard-estimator.md)
- [Custom estimators](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-custom-estimator.md)
- [Import a custom Scikit Learn script](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-custom-scikit-learn.md)
- [Import a custom Keras script](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-custom-keras.md)
- [Import a custom PyTorch script](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-custom-pytorch.md)
- [Manage libraries and dependencies](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-dependencies.md)
- [Scoring and validation](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-training-validation.md)
- [Hyper-parameter tuning](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-tuning.md)
- [Model selection](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-validation.md)
- [Automatic deployment of models](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-validation-auto-deploy.md)
- [Deployment settings](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-configure-deployment.md)
- [Execute a pipeline](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-execute.md)
- [Pipeline Preferences](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-execute-preferences.md)
- [Scale pipelines](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-execute-resources.md)
- [Triggers](https://docs.dataplatform.ovh.net/legacy/ml-pipelines-execute-triggers.md)
- [Models](https://docs.dataplatform.ovh.net/legacy/ml-models.md)
- [Import a model](https://docs.dataplatform.ovh.net/legacy/ml-models-import.md)
- [Code boilerplates to specify multiple variables in a model](https://docs.dataplatform.ovh.net/legacy/ml-models-import-bulk-add-x.md)
- [Build your AI model from scratch on ForePaaS](https://docs.dataplatform.ovh.net/legacy/getting-started-ml.md)
- [Prepare your data for Machine Learning](https://docs.dataplatform.ovh.net/legacy/getting-started-ml-dataset.md)
- [Pick a training procedure](https://docs.dataplatform.ovh.net/legacy/getting-started-ml-training.md)
- [Fine tune the hyperparameters of your model](https://docs.dataplatform.ovh.net/legacy/getting-started-ml-tuning.md)
- [Confirm your choice of model and deploy it](https://docs.dataplatform.ovh.net/legacy/getting-started-ml-validation.md)
- [Set model deployment options](https://docs.dataplatform.ovh.net/legacy/getting-started-ml-deployment.md)
- [Create a machine learning pipeline using a custom Scikit Learn script](https://docs.dataplatform.ovh.net/legacy/getting-further-ml-custom-sklearn.md)
- [ForePaaS APIs](https://docs.dataplatform.ovh.net/legacy/api-reference.md)
- [API Reference: Query Builder / Analytics Manager](https://docs.dataplatform.ovh.net/legacy/api-reference-qb.md)
- ['Data' query parameter](https://docs.dataplatform.ovh.net/legacy/api-reference-qb-data.md)
- ['Scale' query parameter](https://docs.dataplatform.ovh.net/legacy/api-reference-qb-scale.md)
- ['Filter' query parameter](https://docs.dataplatform.ovh.net/legacy/api-reference-qb-filter.md)
- [Discover all other query parameters](https://docs.dataplatform.ovh.net/legacy/api-reference-qb-others.md)
- [ForePaaS JSON query format](https://docs.dataplatform.ovh.net/legacy/api-reference-qb-json-format.md)
- [API reference: Data Manager](https://docs.dataplatform.ovh.net/legacy/api-reference-data-manager.md)
- [API Reference: Buckets](https://docs.dataplatform.ovh.net/legacy/api-reference-datastore.md)
- [API Reference: Identity Access Manager](https://docs.dataplatform.ovh.net/legacy/api-reference-iam.md)
- [ForePaaS Store API Reference](https://docs.dataplatform.ovh.net/legacy/api-reference-store.md)
- [ForePaaS Store](https://docs.dataplatform.ovh.net/legacy/project-marketplace.md)
- [Version 3.0 Changes (2022-01-11)](https://docs.dataplatform.ovh.net/legacy/am-v3-changes.md)
- [Release notes before GA](https://docs.dataplatform.ovh.net/legacy/release-notes-before-ga.md)
- [Data Platform](https://docs.dataplatform.ovh.net/landing-page-data-platform.md): One project, from first source to running application.

## Release notes

- [Release notes](https://docs.dataplatform.ovh.net/release-notes.md): Every Data Platform release, newest first.