Data Lake on AWS

This service supports centralized storage and analysis of various types of data.

• Data Processing Environment : It builds an environment for data collection, cleaning, and transformation by leveraging various AWS services (AWS DMS, AWS Data Sync, Glue, S3, etc.). It prepares data from multiple sources into a consistent format.
• Data Analytics Environment : It analyzes and visualizes data through services such as Amazon Athena, Redshift, QuickSight, and SageMaker. It supports analyses ranging from SQL-based analytics to machine learning-based predictive analytics.
• Data Utilization Environment : It supports business decision-making and creates new value based on analysis results leveraging AWS services. It enables the development and provision of data-driven applications and services by utilizing services such as ECR, Lambda, and Amazon AppFlow.

The Data Lake on AWS service provides scalability, security, and cost-effectiveness, enabling maximum data utilization by integrating with various AWS services.