Creating an Atlas Data Lake¶
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.
Data Lake routes your Data Lake requests through one of the following regions:
| Data Lake Regions | AWS Regions |
|---|---|
| Northern Virginia, North America | us-east-1 |
| Oregon, North America | us-west-2 |
| Ireland, Europe | eu-west-1 |
| London, Europe | eu-west-2 |
| Frankfurt, Europe | eu-central-1 |
| Sydney, Australia | ap-southeast-2 |
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.
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