Introduction to (Impala-like) database systems

• Architecture of a Database System (Hellerstein, Stonebraker, Hamilton)
• Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask
• Encapsulation of Parallelism in the Volcano Query Processing System (Goetz Graefe)
• SCOPE: Parallel Databases Meet MapReduce (Zhou et. al.)
• Parallel Database Systems: The Future of High Performance Database Processing (DeWitt, Gray)
• Hash joins and hash teams in Microsoft SQL Server (Graefe, Bunker, Cooper)
• An Overview of Query Optimization in Relational Systems (Chaudhuri)
• MonetDB/X100: Hyper-Pipelining Query Execution (Boncz, Zukowski, Nes)
• DB2 with BLU Acceleration: So Much More than Just a Column Store (Raman et. al.)
• Dremel: Interactive Analysis of Web-Scale Datasets (Melnik et. al.)
• The MADlib Analytics Library (Hellerstein et. al.)

Published by the Impala team

• Impala: A Modern, Open-Source SQL Engine for Hadoop - Kornacker et. al., CIDR 2015
• Runtime Code Generation in Cloudera Impala - Wanderman-Milne and Li, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2014

Other Impala publications

• SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures - Floratou et. al., VLDB 2014