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  • admin 9:51 am on June 23, 2017 Permalink
    Tags: 21st, Brings, Century, , , Recruitment   

    Big Data Brings Recruitment into the 21st Century 

    Latest imported feed items on Analytics Matters

  • admin 9:51 am on November 20, 2014 Permalink
    Tags: , Brings, , , , , , TeradataMapR   

    Teradata-MapR Partnership Brings More Simplicity and Choice Around Hadoop 

    Simplicity and choice are the dual signposts I mention whenever people ask how best to navigate today’s expanding universe of options in enterprise analytics.  Just as important, however, is to make sure these signposts point the same way so the two priorities remain complementary rather than in conflict.


    While businesses are realizing they can exercise choice in building their own customized, best-in-class big data ecosystems, the reality is that too many companies remain stuck in an “either-or” dilemma between choice and simplicity: With more choices comes the potential for more complexity in selecting and orchestrating all the different options. It doesn’t help that some technology providers stoke the complexity fear factor to keep customers from looking beyond a particular approach, or proprietary system.

    The good news is that it’s easy to spot the vendors that do deliver both choice and simplicity: That’s because they’re the ones that reach across aisles and embrace multiple partnerships and collaborative agreements with other providers across the industry.  It’s really the only way to preserve the simplicity for businesses as they pick and choose among multiple technologies to build ecosystems for managing data how and where it makes the most sense for them.  This is especially the case with open source Hadoop, where sophisticated data warehouse users with complex workloads realize it takes significant collaboration among multiple vendors and technologies to properly leverage Hadoop at the enterprise scale.

    On this point, I’d say Teradata’s credentials are already pretty impressive. Examples include our recent acquisitions of Hadapt and Revelytix for those companies’ respective expertise in SQL integration and metadata management for Hadoop. Other proof points include Teradata’s longstanding collaboration with Hortonworks, our recently-expanded partnership with Cloudera and our collaboration with NOSQL database and application development leader MongoDB.

    Now, I’m proud to say Teradata will provide even more Hadoop choice and simplicity for customers with the newly-expanded partnership we’ve just announced with MapR Technologies, the San Jose-based provider of the top-ranked Hadoop distribution. With clients spanning financial services, government, healthcare, manufacturing, media, retail, telecommunications and other sectors, MapR brings dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop.

    As you can learn in our news release, our newly enhanced collaboration will more fully incorporate MapR into Teradata’s powerful QueryGrid environment for an even more seamless data fabric that both optimizes and simplifies processing across different best of breed analytic solutions. The move also simplifies the customer experience when choosing architectures and standards by allowing Teradata to resell MapR and serve as the single point of contact for both Teradata and MapR.

    In addition, our agreement positions Teradata to sell MapR education and training services and provide customer support and consulting services to Teradata customers who use MapR. The end result will be reduced costs and complexities, along with accelerated time to production as Teradata becomes the single vendor accountable for support of the full ecosystem.

    Teradata and MapR are both committed to maximum flexibility around Hadoop as companies continue to evolve their enterprise architectures.  MapR offers support for major and emerging Apache Hadoop projects and is set apart from other Hadoop distribution systems by virtue of its Network File System (NFS) instead of the Hadoop Distributed File System (HDFS). As its user community knows, MapR’s No-NameNode architecture provides higher availability and balanced workloads as name-node tasks are spread across the data nodes.

    These are just some of the highlights of why I’m so excited about this expanded partnership. But, you don’t need to be a technologist to appreciate the value. In fact, business users at companies that have invested in both MapR and Teradata have been requesting this kind of integration for a while, and I’m proud to say that now is the right time to expand our partnership. I invite you to read more about this from John Schroeder, CEO and co-founder, MapR Technologies.

    Scott Gnau

    Teradata Blogs Feed

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