Part 5: A Review of Processing Push-down

Continuing this thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3, Part 4) I have suggested that we could evaluate integration architecture using three criteria: How parallel are the pipes to move data between the RDBMS and the parallel file system; Is there intelligence to push down predicates; and Is there more intelligence to…

Part 4: How Hadooped is Teradata?

In this thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3) I have suggested that we could evaluate integration architecture using three criteria: How parallel are the pipes to move data between the RDBMS and the parallel file system; Is there intelligence to push down predicates; and Is there more intelligence to push down…

Who is How Columnar? Exadata, Teradata, and HANA – Part 2: Column Processing

In my last post here I suggested that there were three levels of maturity around column orientation and described the first level, PAX, which provides columnar compression. This apparently is the level Exadata operates at with its Hybrid Columnar Compression. In this post we will consider the next two levels of maturity: early materialized column…

Who is How Columnar? Exadata, Teradata, and HANA – Part 1: Column Compression

There are three forms of columnar-orientation currently deployed by database systems today. Each builds upon the next. The simplest form uses column-orientation to provide better data compression. The next level of maturity stores columnar data in separate structures to support columnar projection. The most mature implementations support a columnar database engine that performs relational algebra…

The Fog is Getting Thicker…

I renamed this so that Teradata folks would not get here so often… its not really about Intelligent Memory… just prompted by it. The post on Intelligent Memory is here. – Rob Two quick comments on Teradata’s recent announcement of Intelligent Memory. First… very very cool. More on this to come. Next… life is going…