Hortonworks & Teradata: More Than Just an Elephant in a Box by Jim Walker.
I’m not going to wake up Christmas morning to find:
But in case you are in the market for a big analytics hardware/software appliance, Jim writes:
Today our partner, Teradata, announced availability of the Teradata Aster Big Analytics Appliance, which packages our Hortonworks Data Platform (HDP) with Teradata Aster on machine that is ready to plug-in and bring big data value in hours.
There is more to this appliance than meets the eye… it is not just a simple packaging of software on hardware. Teradata and Hortonworks engineers have been working together for months tying our solutions together and optimizing them for an appliance. This solution gives an analyst the ability to leverage big data (social media, Web clickstream, call center, and other types of customer interaction data) in their analysis and all the while use the tools they are already familiar with. It is analytics and data discovery/exploration with big data (or HDP) inside… all on an appliance that can be operational in hours.
Not just anyone can do this
This is an engineered solution. Many analytics tools are building their solutions on top of Hadoop using Hive and HiveQL. This is a great approach but it lacks integration of metadata and metadata exchange. With the appliance we have extended a new approach using HCatalog and the Teradata SQL-H product. SQL-H is a conduit that allows new analysis to be created and schema changes to be adopted within Hadoop from Teradata. Analysts are abstracted completely from the Hadoop environment so they can focus on what they do best… analyze. All of this is enabled by an innovation provided by HCatalog, which enables this metadata exchange.
Shortcut to Big Data Exploration
In the appliance, Aster provides over 50 pre-built functions that allow analysts to perform segmentation, transformations and even pre-packaged marketing analytics. With this package, these valuable functions can now be applied to big data in Hadoop. This shortens the time it takes for an analyst to explore and discover value in big data. And if the pre-packaged functions aren’t explicit enough, Teradata Aster also provides an environment to create MapReduce functions that can be executed in HDP.
Just as well.
Red doesn’t really go with my office decor. Runs more towards the hulking black server tower, except for the artificial pink tree in the corner. 😉
[…] Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity « Bigger Than A Bread Box […]
Pingback by Axemblr’s Java Client for the Cloudera Manager API « Another Word For It — October 18, 2012 @ 10:39 am