AWS Lake Formation

AWS Lake Formation simplifies the setup and management of data lakes. Data lakes serve as repositories for various types of organizational data, structured or unstructured data at any scale. We can think of a data lake as a vast body of water where we can store raw data in its native format, such as text files, images, videos, sensor data, log files, and more. This data can come from various sources and formats, and it's stored in its raw form until it's needed for analysis.

AWS Lake Formation aids in data management, security management, and data sharing with other AWS services for analytics and machine learning tasks. It also helps manage fine-grained access control to data lakes. Lake Formation enables users to focus on deriving insights from their data rather than handling infrastructure and security complexities.

In this lesson, we will learn about the features of AWS Lake Formation, how they work, and their benefits.

Features of Lake Formation

AWS Lake Formation provides the following features:

Data management

AWS Lake Formation provides comprehensive data management capabilities for data lakes. Here’s a summary of the key data management features offered by AWS Lake Formation:

• Data ingestion: Lake Formation facilitates ingesting data from various sources into the data lake. It supports seamless integration with AWS services like Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, allowing organizations to ingest data in real-time or batch mode.

• Data life cycle management: Lake Formation supports ...