In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
Read this whitepaper to learn:
- How this “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead
- Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility
- How to separate compute and data by preserving data in open file and table formats
- About alternative solutions such as lake houses and how they compare to next-gen cloud data lakes