Getting Started
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Overview
Atlas Data Lake is MongoDB's solution for querying data stored in low cost S3 buckets, Atlas clusters, and HTTP Stores using the MongoDB Query Language. This allows applications to store data in the appropriate storage solution for its use-case.
This tutorial guides you through the process of creating and connecting to a sample Data Lake in Atlas, configuring paths to collections for files stored in S3, and running MongoDB Query Language (MQL) operations.
Table of Contents
- Part 1: Deploy a Data Lake.
- Part 2: Connect to Your Data Lake.
- Part 3: Verify Your Database and Collections.
- Part 4: Run Queries Against Your Data Lake.