Using Teradata’s Appliance for Hadoop to Reduce TCO

Teradata has recently announced a very complete Teradata database-to-Hadoop integration. Is this note we’ll consider how a Teradata shop might effectively use these features to significantly reduce the TCO of any Teradata system. The Teradata Appliance for Hadoop (here) offering is quite well thought out and complete… including a Teradata appliance, a Hadoop appliance, and…

Part 8 – How Hadooped is SQL Server PDW with Polybase?

Now for SQL Server… continuing the thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7) 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…

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…