Watch the recorded event at: http://info.datameer.com/Slideshare- …
Watch the recorded event at: http://info.datameer.com/Slideshare-
As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster.
However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be.
These slides by EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments.
You will understanding:
*how SQL negates the inherent benefits of Hadoop
*why technological paradigm changes can sometimes be good
*use cases when SQL on Hadoop makes sense