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Rick van der Lans

Welcome to my blog where I will talk about a variety of topics related to data warehousing, business intelligence, application integration, and database technology. Currently my special interests include data virtualization, NoSQL technology, and service-oriented architectures. If there are any topics you'd like me to address, send them to me at rick@r20.nl.

About the author >

Rick is an independent consultant, speaker and author, specializing in data warehousing, business intelligence, database technology and data virtualization. He is managing director and founder of R20/Consultancy. An internationally acclaimed speaker who has lectured worldwide for the last 25 years, he is the chairman of the successful annual European Enterprise Data and Business Intelligence Conference held annually in London. In the summer of 2012 he published his new book Data Virtualization for Business Intelligence Systems. He is also the author of one of the most successful books on SQL, the popular Introduction to SQL, which is available in English, Chinese, Dutch, Italian and German. He has written many white papers for various software vendors. Rick can be contacted by sending an email to rick@r20.nl.

Editor's Note: Rick's blog and more articles can be accessed through his BeyeNETWORK Expert Channel.

On October 20, 2104, Teradata announced significant enhancements to QueryGrid at their Partners event in Nashville, Tennessee. QueryGrid allows developers of the Teradata database engine to transparently access data stored in Hadoop, Oracle, and Teradata Aster Database. Users won't really notice that data is not stored in Teradata's own database, but in one of the other data stores.

The same applies to developers using the Teradata Aster database. With QueryGrid they can access and manipulate data stored in Hadoop and the Teradata Database.

With QueryGrid, for both Teradata's database servers, access to big data stored in Hadoop becomes even more transparent than with its forerunner SQL-H. QueryGrid allows Teradata and Aster developers to seamlessly work with big data stored in Hadoop without the need to learn the complex Hadoop APIs.

QueryGrid is a data federator, so data from multiple data stores can be joined together. However, it's not a traditional data federator. Most data federators sit between the applications and the data stores that are being federated. It's the data federator that is being accessed by the applications. QueryGrid sits between, on one hand, the Teradata database or the Aster database, and, on the other hand, Hadoop, Oracle, and the Teradata database and the Aster database. So, applications do not directly access QueryGrid.

QueryGrid supports all the standard features one expects from a data federator. What's special about QueryGrid is that it's deeply integrated with Teradata and Aster. For example, developers using Teradata can specify one of the pre-built analytical functions supported by the Aster database, such as sessionization and connection analytics. The Teradata Database will recognize the use of this special function, knows it's supported by Aster, and automatically passes the processing of the function to Aster. In addition, if the data to be processed is not stored in Aster, but, for example, in Teradata, the relevant data is transported to Aster so that the function can be executed. This means that, due to QueryGrid, functionality of one of the Teradata database servers becomes available for the other.

QueryGrid is definitely an enrichment for organizations that want to develop big data systems by deploying the right data storage technology for the right data.




Posted October 28, 2014 9:59 AM
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