Authors: David Katz and Mike Alperin, TIBCO Data Science Team In a previous blog, we showed how ultra-fast visualization of big data is achieved with in-memory, in-data source and on-demand data access and aggregation using out-of-the-box Spotfire data connectors. In addition to exploiting these native data source capabilities, Spotfire can… Read More →
Authors: Ana Costa e Silva and Anna Maria Nowakowska, TIBCO Data Science Team In this blog series we are sharing analytic technologies that help you best leverage Big Data. In previous blogs we have shown how well you can visualize your big data with TIBCO Spotfire, regardless of the source… Read More →
Integration Apache Hadoop was built for processing complex computations on Big Data stores (that is, terabytes to petabytes) with a MapReduce distributed computation model that runs easily on cheap commodity hardware.
Apache Hadoop was built for processing complex computations on Big Data stores (that is, terabytes to petabytes) with a MapReduce distributed computation model that runs easily on cheap commodity hardware. Hadoop solved several use cases, which were either way too slow or even impossible to realize with other tools.
Big Data and real-time, predictive analytics present companies with the unparalleled ability to understand consumer behavior and ever-shifting market trends at a relentless pace in order to take advantage of opportunity. However, organizations are entrenched and governed by silos; data resides across the enterprise in the same way, waiting to… Read More →