Data analytics isn’t new but demand has never been greater. Analytics give insight for strategy and business decisions on an unparallelled line of vision. Because of this demand, a battle for control over how data is processed by analytics applications has emerged in the cloud. Venture Beat brought this interesting news to our attention in their article, “Contest for control over the semantic layer for analytics begins in earnest.“
Providers of data warehouses such as Snowflake, Amazon Web Services, and Microsoft are aggregating massive amounts of data. It is a natural process that providers of analytics and business intelligence applications are treating data warehouses as another source from which to pull data.
There is pushback to maintain the data processing within their own warehouses, while another point of dissention from startups that enable end users to process data using a semantic layer that spans multiple clouds is emerging.
In the midst of these challenges, it is still not clear that data warehouses will emerge as data processing powerhouses. In many cases, they are just the latest incarnation of a data lake.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
