Hadoop is recognized as an ideal platform for storing and managing big data. Unfortunately, Hadoop APIs are complex and may require a high level of technical expertise.
To leverage the full capabilities Hadoop has to offer, you'll need a programming interface that retains Hadoop’s performance and scalability, is easy to maintain, known to non-technical users, and can be used by a variety of existing analytical and BI tools.
The solution? SQL-on-Hadoop.
Download a free copy of the R20/Consultancy technical whitepaper, SQL-on-Hadoop Engines Explained. Inside, Independent Business Intelligence Analyst, Rick F. van der Lans, covers:
How Hadoop meets the requirements for big data systems
What SQL-on-Hadoop engines are and why there’s a need for them
Technological challenges of SQL-on-Hadoop
Use cases of SQL-on-Hadoop
Details about Apache Drill, the SQL-on-Hadoop engine that supports HDFS and HBase access