I will provide a full-fledged data lake built on AWS Cloud

The goal of this project is to build a data lake on the AWS cloud platform. The data lake will serve as a central repository to store and process large and varied data sets. The data lake will be designed to provide scalable and flexible storage options, allowing for the storage of structured, semi-structured, and unstructured data.

Objectives:
• Implement a scalable, secure, and highly available data lake on AWS.
• Integrate data from various sources into the data lake.
• Enable data analysis and business intelligence through data processing and analysis tools.
• Provide data access to stakeholders for reporting and analysis purposes.

Technology Stack:
• AWS S3 for data storage.
• AWS Glue for data cataloging and ETL.
• AWS Athena for SQL-based data querying.
• AWS QuickSight for data visualization.
• AWS Lake Formation for data lake management.

Expected Outcome:
A centralized data lake that provides a scalable, secure, and flexible solution for storing and processing large and varied data sets. The data lake will enable data analysis and business intelligence, providing insights that drive better business decision making.