Creating an Atlas Data Lake¶
Beta
The Atlas Data Lake is available as a Beta feature. The product and the corresponding documentation may change at any time during the Beta stage. For support, see Atlas Support.
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Overview¶
Atlas Data Lake is MongoDB's solution for querying data stored in low cost S3 buckets using the MongoDB Query Language. This allows analytics applications to make use of archived data for their data processing needs.
This tutorial will guide you through the process of creating and connecting to a Data Lake in Atlas, configuring databases and collections from files stored in S3, and running MongoDB Query Language (MQL) operations.
note
You will incur charges when running Atlas Data Lake queries. For more information, see Billing.
Table of Contents¶
- Part 1: Upload Sample Data to Your S3 Bucket.
- Part 2: Deploy a Data Lake.
- Part 3: Connect to Your Data Lake.
- Part 4: Verify Your Database and Collections.
- Part 5: Run Queries Against Your Data Lake.