Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users.
Read this paper to learn about:
- The value of cloud data lakes as the new system of record
- The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures
- The key prerequisites for meeting the needs of non-technical users while adhering to data governance policies
- How cloud data lake engines enable a better balance between data warehouse investments versus those in the cloud data lake