At its annual industry analyst summit last month and in a more recent announcement of enterprise support for parallelizing the R language on its Aster Discovery Platform, Teradata showed that it is adapting to changes in database and analytics technologies. The presentations at the conference revealed a unified approach to data architectures and value propositions in a variety of uses including the Internet of Things, digital marketing and ETL offloading. In particular, the company provided updates on the state of its business as well as how the latest version of its database platform, Teradata 15.0, is addressing customers’ needs for big data. My colleague Mark Smith covered these announcements in depth. The introduction of scalable R support was discussed at the conference but not announced publicly until late last month.
Topics: Big Data, Teradata, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Internet of Things, Operational Intelligence, Teradata Aster
Teradata Brings In-Memory Computing and Data Discovery to Big Data
Teradata recently gave me a technology update and a peek into the future of its portfolio for big data, information management and business analytics at its annual technology influencer summit. The company continues to innovate and build upon its Teradata 14 releases and its new processing technology. Since my last analysis of Teradata’s big data strategy, it has embraced technologies like Hadoop with its Teradata Aster Appliance, which won our 2012 Technology Innovation Award in Big Data. Teradata is steadily extending beyond providing just big data technology to offer a range of analytic options and appliances through advances in Teradata Aster and its overall data and analytic architectures. One example is its data warehouse appliance business, which according to our benchmark research is one of the key technological approaches to big data; as well Teradata has advanced support with its own technology offering for in-memory databases, specialized databases and Hadoop in one integrated architecture. It is taking an enterprise management approach to these technologies through Teradata Viewpoint, which helps monitor and manage systems and support a more distributed computing architecture.
Topics: Big Data, MicroStrategy, SAS, Tableau, Teradata, Customer Excellence, Operational Performance, Analytics, Business Analytics, Business Intelligence, CIO, Cloud Computing, Customer & Contact Center, In-Memory Computing, Information Applications, Information Management, Location Intelligence, Operational Intelligence, CMO, Discovery, Intelligent Memory, Teradata Aster, Strata+Hadoop
Teradata’s Big Data and Analytics Strategy Unveiled
Unlike other recent conferences that seem to focus almost exclusively on cloud computing, this week’s Teradata Partners Conference emphasized big data and analytics. The vision that Teradata lays out is one in which new technologies such as Apache Hadoop live side by side with more traditional enterprise data warehouses (EDW) and companies have the flexibility to define their own approaches to BI tools. This approach, at least in the near and medium terms, makes a lot of sense, and is backed by our own research into big data, which shows relational databases are still the predominant tool for delivering big data analytics and solutions to the enterprise. Companies have spent a lot of money on their current infrastructures, and not many have the stomach for a rip-and-replace strategy. Nor do most organizations have the tools and the skillsets yet to take full advantage of all of the newer approaches coming into the market around big data analytics.
Topics: Big Data, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Operational Intelligence, Teradata Aster
Hortonworks Leads a Fast and Growing Herd of Hadoop
Hadoop, the big-data technology, has transformed businesses’ ability to cost-effectively store and process large volumes of data for analysis. Numerous companies have invested in supporting Hadoop, and some produce commercial versions of the open source technology. At last year’s Hadoop Summit Hortonworks had just started to establish itself as one of these providers. Now, at the 2012 Hadoop Summit, with a new CEO, Rob Bearden, a new head of marketing, John Kreisa, and other hires, it is moving fast to advance its Hadoop momentum.
Topics: Big Data, Datameer, IT Performance, Analytics, Business Analytics, Business Intelligence, Hortonworks, Information Applications, Teradata Aster, Strata+Hadoop
