Big SQL 3.0: Data Warehouse-grade Performance in Hadoop - At Last! - ERP Spain.com - España y América Latina

 

Big SQL, with its introduction, opened up Hadoop data to SQL access, relational database optimizations and runtime performance. The next version of Big SQL represents a quantum leap in SQL support and performance by removing the dependency on MapReduce for complex query execution and by injecting IBM database technology for query optimization and execution. IBM has decades of research and experience optimizing SQL access for relational databases, so we are applying that wealth of knowledge and experience to Hadoop. Big SQL 3.0 introduces powerful and unmatched SQL query rewrite capabilities, unprecedented scale-out parallelism performance, scale-up parallelism performance to dozens of cores and optimized concurrent user throughput performance. 

 

In this presentation, we will introduce the architecture of this next generation Big SQL offering, discuss key performance aspects and describe how it enables traditional warehouse style applications to run on Hadoop data and clusters

About This Sponsor 

IBM is a multinational computer technology and consulting corporation headquartered in Armonk, New York, USA. The company is one of the few information technology companies with more than a century of leadership in technology and innovation, and the #1 patent leader for 20 years in a row. IBM manufactures and sells computer hardware and software, and offers infrastructure services, hosting services, and consulting services in areas ranging from mainframe computers to nanotechnology.