Technical White Paper:
Making Truly Interactive BI on Big Data a Reality
This white paper explains how index-access architecture combined with adaptive caching can help you achieve truly interactive response times for BI on big data, and how the underlying technology works.
It analyzes the challenges of implementing indexes for big data and how Jethro solved these challenges. It then discusses how the Jethro design of separating compute from storage works with Hadoop and with Amazon S3.
Finally, it briefly discusses some of the main features behind Jethro’s performance, including I/O, query planning and execution features.
A SQL-on-Hadoop engine, Jethro acts as a BI-on-Hadoop acceleration layer that speeds up big data query performance for BI tools like Tableau, Qlik and Microstrategy from any data source like Hadoop or Amazon S3.