AWS Lake formation - AWS LF - Governance Security- Access control

 

🧭 Overview: What is AWS Lake Formation?

AWS Lake Formation is a service that simplifies building a secure data lake by:

• Ingesting data from various sources

• Organizing it in Amazon S3

• Setting up data catalogs (via AWS Glue)

• Defining security and access policies

• Querying data with services like Athena, Redshift, and EMR

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🛠️ Prerequisites

Before starting, ensure you have:

• An AWS account

• IAM permissions for Lake Formation, Glue, S3, and IAM

• An existing S3 bucket (or create a new one)

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🧱 Step 1: Set Up a Data Lake Location

1. Go to the Lake Formation Console.

2. In the left pane, choose "Data lake locations".

3. Click "Register location".

4. Choose your S3 bucket or a folder (e.g., s3://your-bucket/data/).

5. Choose an IAM role that has permission to access this location.

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📋 Step 2: Add a Data Catalog Table

1. From the Lake Formation Console, go to "Databases".

2. Click "Create database" (this is part of AWS Glue).

   • Example: Name: sales_db

3. Now go to "Tables", and either:

   • Crawl your data with AWS Glue Crawler

   • Or manually define a table (not recommended for beginners)

Use Glue Crawler for simplicity:

• Create a new Glue Crawler

• Point it to the S3 path (e.g., s3://your-bucket/data/sales/)

• Assign it to the sales_db database

• Run the crawler to populate the catalog

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🔐 Step 3: Grant Permissions with Lake Formation

1. Go to "Permissions" > "Data lake permissions"

2. Click "Grant":

   • Choose your IAM user or role

   • Select the database and tables

   • Choose permissions like SELECT, ALTER, etc.

This step replaces traditional IAM-based S3 permissions for data access

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🧪 Step 4: Query Data with Athena (Optional)

1. Open Amazon Athena

2. Choose the Lake Formation-managed database (e.g., sales_db)

3. Run a SQL query:

   SELECT * FROM sales_table LIMIT 10;

If permissions are properly configured, you’ll see results.