Data warehousing used to be simple. If you wanted to stockpile and organize your data for analytics purposes, you spun up an extra database instance of whatever database platform your organization standardized on, connected your ETL tool of choice, modeled the data, wrote a few ETL routines, and set up regular refreshes.
Today, things have changed. The emergence of different options depending on the application—including appliances for purpose-built high-performance data warehouses, Hadoop for really big data warehouses, and a number of cloud-based elastic data warehouse platforms—have certainly made things more complicated.
This new Sirius white paper describes the integration of multiple technologies both new and old from multiple vendors and communities. It explains the most successful approaches to data warehousing depending on what your organization’s data requirements and resources are, and how to implement them.
To read more click here to download the white paper.
