SQL-on-Hadoop Engines Explained
How to enable non-technical users to leverage big data on Hadoop.
Hadoop is regarded as one of the best platforms for storing and managing big data – but Hadoop APIs like HDFS, MapReduce and HBase can be quite complex for non-technical users. A programming interface must be put into place to retain Hadoop’s performance and scalability while being leveraged by reporting and analytics tools non-technical users understand and recognize. SQL is a high‐ level, declarative, and standardized database language, it’s familiar to countless BI specialists, it’s supported by almost all reporting and analytical tools, and has proven its worth over and over again.
Download SQL-on-Hadoop Engines Explained to learn about:
- Real world SQL-on-Hadoop use cases
- How to solve some challenges that come with leveraging an SQL-on-Hadoop engine
- Details about Apache Drill, the SQL-on-Hadoop engine that supports HDFS and HBase access
