Cloudera Impala

Cloudera Impala is Cloudera’s open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop.

The main features of Cloudera Impala are:

• Query engine that runs on Apache Hadoop.
• Supports HDFS and Apache HBase storage.
• Enable issuing low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation
• Integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software.
• Uses metadata, ODBC driver, and SQL syntax from Apache Hive.
• MapR supports Impala.
• Broad used in Business Intelligence field, among other fields.

See also

Computational intelligence, Mathematical optimization, Computer vision, Machine learning, Artificial Intelligence, Spatial Data Analysis, Data Analysis

Material

• http://www.cloudera.com/products/apache-hadoop/impala.html
• https://github.com/cloudera/impala
• Larry Digna (October 24, 2012). Cloudera aims to bring real-time queries to Hadoop, big data
• Andrew Brust (October 25, 2012). Cloudera’s Impala brings Hadoop to SQL and BI. ZDNet.
• http://doc.mapr.com/display/MapR/Impala

Papers

• Wanderman-Milne, Skye, and Nong Li. Runtime Code Generation in Cloudera Impala. IEEE Data Eng. Bull. 37.1 (2014): 31-37.

Books

• Russell, John (2013). Cloudera Impala. O’Reilly Media
• Saltzer, Richard L.; Szegedi, Istvan; De Schacht, Paul (2015). Impala in Action. Manning publications Co.
• Russell, John (2014). Getting Started with Impala: Interactive SQL for Apache Hadoop. O’Reilly Media