Teradata on Monday revealed its plans to break down the borders between multi-system, multi-technology analytics environments. The efforts center around two initiatives -- Borderless Analytics and Teradata Everywhere -- that Teradata says will create a single analytic organism on both public and private clouds.
Teradata said it is creating a specialized team of data scientists, data engineers and software designers to tackle cloud-based analytics for the Internet of Things. The Global IoT Analytics unit will operate within Teradata Labs and will focus on building new cloud-based analytic services that could automate data movement and database management for IoT applications. For Teradata, the move reaffirms the company's focus on growing its data and analytics unit after it decided to sell off its marketing applications business last year. The restructure came after Teradata's primary business of data warehousing slowed as many enterprises moved to the cloud. "The smartest people at Teradata are laser focused on building the best technologies to power the Analytics of Things," said Oliver Ratzesberger, president of Teradata Labs.
At last week's Teradata Partners Conference in Atlanta the company hit several important cloud milestones with its "Teradata Everywhere" and "Borderless Analytics" announcements. And in another sign that it's evolving, Teradata also announced a range of analytic solutions supported by consulting services. Teradata Everywhere is the ability to run the same database and workloads without alteration in multiple deployment environments. The choices include on-premises systems, VMWare-based private-cloud instances, Teradata's Managed Cloud services and Teradata Database on public clouds including Amazon Web Services and, by year end, Microsoft Azure. The newest options here are Teradata on VMware and parallel processing support on Amazon Web Services.
Enterprise applications power the heart of business productivity, but they are traditionally difficult to implement, upgrade, and innovate. We look at how the next generation of enterprise apps could change the game. Pronouncements of moving to the cloud would have been unthinkable just a few years ago, but Teradata, like many vendors, is adapting to a changed technology landscape. After a series of disappointing quarters, Teradata's board ousted CEO Michael Koehler in March and tapped board member Victor Lund to replace him. Introduced at the Summit, Lund was frank about Teradata's past and its future.
It should surprise no one that the cloud is forcing the data warehouse to adapt and evolve. In August, I wrote about it an article entitled "What Should the Data Warehouse Become in the Cloud?," In this follow-up to that article, I want to look at Teradata, one of the biggest and most established players in the data warehouse landscape, and examine how much of my framework for the perfect cloud data warehouse it can implement. Teradata recently announced that its core platform, the Teradata Database, is now supported fully on the public cloud on Amazon Web Services (AWS) and soon also on Microsoft Azure. For a while it has been available on Teradata's managed cloud, on virtualized infrastructure or private cloud, and of course on-premises on an appliance.