Introduction to KeyCore Enterprise Data Lake (KEDL)
The KeyCore Enterprise Data Lake (KEDL) is a cutting-edge data management solution designed to empower organizations with a scalable and efficient platform for handling vast amounts of data. Built on top of AWS Glue and Athena, KEDL leverages the power of AWS cloud services to provide seamless data integration, storage, and analysis capabilities.
In today's data-driven world, enterprises face significant challenges in managing their ever-expanding data volumes while ensuring secure and compliant access to critical information. KEDL addresses these challenges by offering a comprehensive data lake that can be extended to operate as a Data Mesh, enabling enhanced data governance and self-service capabilities.
AWS Glue and Athena: Unleashing the Potential of Data Lakes
KEDL leverages two powerful AWS services - AWS Glue and Athena - to provide a robust foundation for data lake management. AWS Glue, a fully managed ETL (Extract, Transform, Load) service, simplifies the process of preparing and loading data for analytics. It automates the discovery, cataloging, and transformation of data, reducing the complexities of data management tasks.
Complementing AWS Glue, Athena enables interactive and cost-effective querying of data stored in Amazon S3 using standard SQL queries. With Athena's serverless architecture, organizations can gain valuable insights from their data without the need for complex infrastructure management.
Data Lakes and Data Mesh: Driving Data-Driven Innovation
Data Lakes have emerged as a critical component in modern data architectures, allowing organizations to consolidate, store, and analyze data from various sources efficiently. KEDL serves as a central repository for data products or datasets, offering a unified and accessible view of information across the entire Data Mesh.
The Data Mesh concept, as implemented in KEDL, introduces a decentralized approach to data management, enabling data ownership and responsibility to be distributed across different teams or domains. By providing a mesh of interconnected data nodes, KEDL facilitates seamless data sharing and collaboration, empowering users to make data-driven decisions with confidence.
Throughout this user manual, we will delve into the key features and functionalities of KEDL, demonstrating how it can be utilized in daily practice. From data administration and user management to dataset creation, access control, and data querying, we will guide you through the various aspects of using KEDL effectively.
Whether you are a data owner, steward, or member, this user manual aims to equip you with the knowledge and know-how to leverage KEDL's capabilities efficiently. Let's embark on a journey to harness the power of KeyCore Enterprise Data Lake and unlock the full potential of your organization's data assets.
