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Teradata's Data Lake has the Ease of a Beach #HadoopSummit

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Teradata users love Teradata.

It’s a relationship that’s rarely found in the world of enterprise technology. And quite frankly, until you talk to enough of Teradata’s customers, it’s hard to believe it exists.

But last year at Teradata’s Partners user conference we witnessed it — not by talking to users the company had hand-picked for us to meet, but from conversations with the guys or gals who stood in front or behind us as we waited in lines for our morning joe, on the many long walks from the hotel to the conference center and at lunch, when we sat to chow-down with strangers. The folks we spoke to, almost without exception, professed their love for Teradata.

And we’re telling you this because it matters. A lot.

Making the Most of Data

After all, in the world of big data — where we’ll all soon be working — leveraging open source seems to be the way to go.

And Teradata’s goods, mind you, are mostly proprietary and a lot more expensive. Not only that, but some would even argue that Teradata doesn’t have a big data play it can call its own.

But let’s put that argument aside because here’s what they do have: a large community of committed users who trust the data warehouse powerhouse to deliver to them the analytics capabilities that they need to make their businesses beat the competition.

Whether it’s big data, fast data or some other kind of data …Teradata’s customers trust Teradata to provide them with what they need to make the most of their data.

That’s a nice position to be in if you’re Teradata, but it’s also not one you can take for granted. And Teradata certainly isn’t doing that.

Better Together

In 2011, just after the buzz around big data began to go mainstream, Teradata purchased Aster. Aster is a big data analytics platform that leverages its patented SQL-MapReduce to parallelize the processing of data and applications and deliver rich analytic insights at scale.

But while Aster is great for many things, Hadoop is better for others, and the two used together, in some cases, might be even better.

In early 2012, Teradata hooked up with open source Hadoop platform provider Hortonworks to bring big, big data capabilities to its customers. It enables customers to store and process huge volumes and varieties of data that arrives at huge velocities and gets dumped into what Teradata and Hortonworks are calling a Data Lake.

The base of the data lake usually consists of Open Source Apache Hadoop, which, though it’s free for the taking, is not what many consider to be truly enterprise grade or easy to work with.

And while Hortonworks, with its Hortonworks Data Platform (HDP), has done a great deal to make its Hadoop distro leading-edge and more attractive to Enterprises, no Hadoop distro is as customer friendly and enterprise worthy as the Teradata solutions they’re using today.

Not only that, but no user really wants to spend time moving data around or even learning new interfaces when they love the ones they already use. And when it comes to training and support, working with a vendor they already know and trust, who knows their systems and how their company ticks is preferable. And companies want all of this without sacrificing the wins that big data and leveraging big data technologies like Hadoop and Aster, can potentially deliver.

All the Benefits, Without the Pain

Teradata understands all of this, so it's hooked up with Hortonworks to deliver HDP capabilities from within its own products and to deliver services like consulting, training and support around it.

What this means to Teradata customers is that they can have all the benefits that Hortonworks’ HDP provides without leaving the Teradata environment they know and love.

Teradata began its relationship with Hortonworks in 2012 and has been busy building out their Hadoop-related capabilities ever since.

Today, on the eve of the Hadoop Summit in San Jose, Calif., Teradata announces the availability of its new portfolio for Hadoop 2, which promises to reduce the risk, cost and complexity of Hadoop deployment and management.

The portfolio aims to help customers realize the business value of a data lake via Teradata’s value-added software, Teradata’s big data appliance and Teradata’s consulting, training, and customer services and support all from a single vendor … Teradata.

One for All

In other words, should there be trouble, companies will have “one throat to choke” versus wrestling with individual vendors who may not always work in concert with one another, or even worse, blame the other for problems.

Teradata’s Portfolio for Hadoop 2 is made up of four components:

  1. Teradata Open Distribution for Hadoop (TDH) 2.1 – Teradata’s value-added HDP 2.1 based platform provides a comprehensive set of vital Teradata software components to make Hadoop more enterprise ready. It includes enhancements for high availability and disaster recovery, performance and scalability, data transformation and integration, data security, setup and installation, and monitoring and manageability.
  2. Teradata Appliance for Hadoop – Teradata’s newest appliance for Hadoop comes with Teradata Open Distribution for Hadoop 2. It’s the first to run on the Hortonworks Data Platform 2.1 and is built for top of the line performance leveraging the latest generation of Intel technology, and the combination of InfiniBand fabric-based hardware and Teradata BYNET V5 software with scaling and failover capability.
  3. Teradata Consulting Services –Enterprises who are trying or thinking about building data lakes, bringing Hadoop in house or otherwise wrestling with big data commonly do so with some trepidation. Teradata’s, via its consulting services offering, provides trusted expertise on hardening security and safeguarding privacy, an assessment to determine the best-fit data platform for deployment and the most effective way to integrate data from various sources. Teradata maintains its consulting services options take a comprehensive approach to big data to “identify and advise” and “architect and implement.” In addition, they provide managed services for ongoing operations, and rigorous, in-depth training on deployment and management.
  4. Teradata Customer Services – Teradata customers want to rely on Teradata for all of their data related issues. To make this possible, Teradata has productized a first of its kind customer services offering that supports and maintains big data and Hadoop environments. Teradata helps customers realize the benefits of big data analytics without leaving Teradata.

This is delivered via Teradata’s Unified Data Architecture, which was designed to develop and support large-scale production deployments and provide a single point of contact for customers for all hardware and software, with the backing of Hortonworks. The Teradata Customer Services group also supports Hadoop offered on commodity servers, and software-only implementations of the Hortonworks Data Platform.

Teradata’s big data and analytics related appliances, value added software, services and support that leverage HDP should make it easier and less stressful for customers to build data lakes and realize the advantages that big data deployments promise to deliver.

Title image by giulio napolitano / Shutterstock: People collecting water from Lake Tanganyika in Reumonge, Burundi.

 
 
 
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