On the surface, data lakes and data warehouses may seem similar, but there are essential differences to consider. In order to extend data-based analytics to as many users as possible, you must first choose the right data storage and data delivery solution.
Download this eBook to understand:
Primary differences between data lakes and data warehouses
Side-by-side comparisons of top cloud data lakes: AWS, Azure, Google Cloud Platform, Cloudera, Databricks and Snowflake
At-a glance comparisons of cloud data warehouse platforms: Amazon Redshift, Azure, Google Big Query and Snowflake
Components, functionality, capabilities, and key advantages
Best practices in implementation and optimization of cloud data lakes and data warehouses, and how they can work in tandem
Find out how to accelerate, automate, and govern data delivery – whether you use a data lake, a data warehouse, or both.
