In the technology game, industry analysts are important players, and some would argue that Gartner is right up there near the top with their Magic Quadrant reports. Those of us who follow Gartner’s Magic Quadrants know the importance of that deceptively simple-looking market research grid. Behind it lays a wealth of knowledge, with uniform criteria that bring useful snapshots of markets and their participants. I am again proud to see that Gartner’s latest MQ covering data warehousing and analytics continues to show Teradata leading the pack for our vision and performance.
Over the years, we’ve shared our vision with Gartner for a future where information is readily collected, processed and integrated in boundless configurations to allow businesses to exploit all of their data to their advantage. With the demonstrated success of data-driven organizations, we are again seeing our vision become a reality for many organizations capturing, analyzing and gaining insights from traditional and new data types in a heterogeneous environment.
This vision aligns perfectly to Gartner’s view of a Logical Data Warehouse. At a high level, Gartner defines the Logical Data Warehouse as an information management architecture where all data, including highly unstructured data, is stored and analyzed. This architecture includes technology approaches like data virtualization, distributed processes and ontological metadata, among other characteristics, as enabling a single version of the truth. In a recent Gartner blog, analyst Mark Beyer says that the “logical data warehouse is the next significant evolution of information integration …this is important. This is big. This is NOT buzz. This is real.”
We at Teradata agree. This is real, and our own vision and R&D investment has closely aligned with this. The fact that our best-in-class systems are available today and have the ability to analyze structured, unstructured and semi-structured data, or what we call multi-structured data as an all-up term, shows how long indeed we’ve been on this path. The October 2012 release of the Teradata Unified Data Architecture introduced a new framework for business users – very much aligned with Gartner’s vision of the Logical Data Warehouse – to ask any question, against any data, with any analytic, at any time across multiple Teradata systems – analytical platforms and discovery platforms – and open source Hadoop data management platforms. This is the result of years of development and millions of dollars of R&D investment. This investment has enabled us to be the first to deliver a solution like UDA to the market, empowering our customers to change their game by competing on analytics.
We continue to get positive reports from our customers as we allow organizations to deploy, support, manage, and seamlessly access all their data in an integrated and dynamic Teradata Unified Architecture. Teradata’s integration of these technologies, which our customers have learned is more than the sum of the individual components, creates real value.
These efforts are all in service to a vision of intelligent systems that leverages the value of data warehouse, data discovery and data staging technology. We believe in the value of open source technology, that’s why the Teradata Unified Data Architecture supports open source apache Hadoop. The Teradata Unified Data Architecture is further certified with HDP from Hortonworks and enables a host of interoperability features, which allow for the transparent, seamless movement of data in and out of diverse systems for storage and refinement and analysis.
The Teradata Unified Data Architecture indeed represents the new normal in combining systems and approaches. It captures, refines, and stores detailed data in Hadoop. Teradata Aster then performs subsequent analysis for the discovery of new insights. And then, the resulting intelligence is made available by the Teradata Integrated Data Warehouse for use across the enterprise.
The Teradata Unified Data Architecture, with best-in-class technology, provides business users fast and seamless answers to their questions regardless of the type of data analyzed. In the process, we are embodying what Gartner and others value as the leadership in building practical solutions that help businesses derive the best insights possible from all their data, whether big, small, or somewhere in between.
Latest posts by Chris Twogood (see all)
- Big Data Success Starts With Empowerment: Learn Why and How - September 1, 2015
- The Benefits and Evolution of the Hadoop Appliance - July 9, 2015
- Top 4 Big Data Applications for Best Value And Competitive Advantage - March 30, 2015