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Text Content

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 * Help Center
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Databricks on AWS

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 * Get started
 * What is Databricks?
 * DatabricksIQ
 * Release notes

Load & manage data

 * Connect to data sources
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 * Query data
 * Ingest data
 * Prepare data
 * Monitor data and AI assets
 * Share data (Delta sharing)
 * Databricks Marketplace

Work with data

 * Data engineering
 * Generative AI & LLMs
 * Machine learning
 * Model serving
 * Data warehousing
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Administration

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 * Lakehouse architecture

Reference & resources

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Updated Apr 19, 2024

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DATABRICKS DOCUMENTATION

March 11, 2024

Databricks documentation provides how-to guidance and reference information for
data analysts, data scientists, and data engineers solving problems in analytics
and AI. The Databricks Data Intelligence Platform enables data teams to
collaborate on data stored in the lakehouse. See What is a data lakehouse?.






In this article:
 * Try Databricks
 * What do you want to do?
 * Manage Databricks
 * Reference Guides
 * Resources


TRY DATABRICKS

 * Get a free trial & set up

 * Query data from a notebook

 * Build a basic ETL pipeline

 * Build a simple lakehouse analytics pipeline

 * Free training


WHAT DO YOU WANT TO DO?

 * Data science & engineering

 * Machine learning

 * SQL queries & visualizations


MANAGE DATABRICKS

 * Account & workspace administration

 * Security & compliance

 * Data governance


REFERENCE GUIDES

 * API reference

 * SQL language reference

 * Error handling and error messages




RESOURCES

 * Release notes

 * Other resources

Was this article helpful?

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{ # 's' variable stands for the search page here. TODO: Fix it. #}


IN THIS ARTICLE:

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 * Manage Databricks
 * Reference Guides
 * Resources


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