TIBCO Connects Big Data To Cloudera, Hortonworks, Pivotal

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TIBCO broadens big data connectivity options to Cloudera, Hortonworks and Pivotal, MapR is selected by Rocket Internet for a powerful behavior analysis system, and BMW selects IBM big data and analytics for boosting customer satisfaction.

TIBCO adds connectivity options to big data sources. TIBCO Software (TIBX) announced TIBCO Spotfire customers now have direct connectivity to big data repositories from Cloudera, Hortonworks, and Pivotal. “Our ability to connect directly to these data sources, conduct in-database analysis, and mash-up the data in the worlds of Hadoop and others puts Spotfire in prime position for enterprises looking to get the most out of their data assets,” said Lars Bauerle, vice president of product strategy, TIBCO Spotfire. “Spotfire now further embraces data access in all forms, including Big Data architecture, enabling our customers to derive significantly greater value from their existing data.” “Apache Hadoop has become the cornerstone of a modern data architecture by enabling companies to store and manage massive data sets, and to capture net-new forms of data. When our partners build innovative analytic operations on Hadoop, it helps enterprises maximize the potential from their Big Data investments,” said John Kreisa, vice president of strategic marketing, Hortonworks.

MapR selected by Rocket Internet. MapR announced that Internet incubator Rocket Internet has switched to the MapR Distribution for Hadoop to build a powerful user behavior analysis system. After looking for a way to scale its intelligence engine, Rocket selected the MapR Distribution for Hadoop to deliver an enhanced analytics engine, which can better determine the impact of each marketing channel and each keyword on overall client business. In terms of real-world return, the performance gains are allowing the company to better optimize marketing spend down to a single keyword. “MapR had the set of enterprise features such as data replication and flexible file support that we considered essential – especially as we wanted to retain flexibility,” said Patrick Fink, global head of Business Intelligence at Rocket Internet. “For us, the long-term benefits of our switch to the MapR Distribution for Hadoop are significant and provide us with the flexibility, performance and resilience to build out our analytics capability in any direction we need.”

BMW using IBM big data and analytics to boost customer satisfaction. IBM announced that BMW Group is deploying IBM Big Data and Analytics technology to optimize products, repairs and maintenance. The use of predictive analytics helps to detect and fix vulnerabilities before new models are launched – and long before they might cause problems in series production. The IBM SPSS predictive analytics software helps to combine and analyze data from, for instance, numerous test drives of prototypes, an average of 15,000 faults recorded by vehicles, and details from recent workshop reports. This way, vulnerabilities can be quickly identified and eliminated before new models go into series production. Another benefit is the automation of certain analyses, since different business divisions and subsidiaries often have similar analytics queries. For these recurring questions there is now a solution that can be used to provide answers to a range of queries.

About the Author

John Rath is a veteran IT professional and regular contributor at Data Center Knowledge. He has served many roles in the data center, including support, system administration, web development and facility management.

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