Teradata Deepens Integration With Hadoop for a Modern Data Architecture
Yesterday our partner Teradata announced a new capability called Teradata QueryGrid that further deepens the integration between the Teradata Data Warehouse and the Hortonworks Data Platform. This announcement is important because it delivers on the promise and the value of the Modern Data Architecture by demonstrating how the two technologies complement each other for the enterprise.
Teradata pioneered deeper integration with Apache Hadoop through integration with H-Catalog initially with Aster SQL-H and then the Data Warehouse and now they have taken it to the next level with Teradata QueryGrid.
QueryGrid delivers bi-directional, push down processing through Teradata into Hadoop and takes advantage of the recently completed improvements in Apache Hive processing with Hive 13 delivered as part of the Stinger initiative and available in Hortonworks Data Platform 2.1 .
As a result of this integration queries can be initiated from the Teradata Database to access, filter, and return subsets of data from Hadoop, Aster, and other database environments to the Teradata Database for additional processing. The analysis can incorporate data from the Teradata Database and Hadoop.
There are many benefits to this new capabilities including:
- The ability to process data where it lies
- Minimizing data movement between systems for faster processing
- Minimizing the data redundancy for more efficient use of storage resources
- And importantly it optimizes the resources across the MDA
We are excited to see the continued innovation driven by the Hadoop ecosystem and look forward to more ecosystem integration coming in the near future.