Big Data is not the hype any more. Most of the customers and prospects that I have visited last year already use Hadoop, at least in early stages. Apache Spark also got a lot of traction in 2015. These frameworks and their ecosystems will probably grow even more in 2016,… 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 →

In the past year, big data players have increasingly adopted the Apache Spark distributed computing architecture. This growth has been fueled by several innovative differentiators for big data applications, such as MapReduce 2.0 (or YARN), provisions for analytic workflows, and efficient use of memory. As one of the most exciting… Read More →

Decision-makers and knowledge workers alike are constantly challenged with complex business problems. Most of these challenges emanate from the fact that we live in a world mired with data and little direction on how to best leverage that data and derive value from it. Fortunately, there are analytic technologies that… Read More →

Streaming Analytics processes data in real time while it is in motion. This concept and technology emerged several years ago in financial trading, but it is growing increasingly important these days due to digitalization and the Internet of Things (IoT). The following slide deck from a recent talk at a… Read More →

Typical big data technology is not enough to build a comprehensive solution… you need event-driven rules as part of the overall picture. Join TIBCO’s global strategic solutions lead Nelson Petracek, and host, tech journalist Ellis Booker, as they talk about big data, and why just having the enabling technology—say, a Hadoop Cluster—doesn’t… Read More →

At the TIBCO NOW Tour in Paris, TIBCO announced our new TIBCO Accelerator project—a system for building open, community-driven innovation. An accelerator is a set of freely distributed, extensible code that shows developers a template and best practices about how to implement the most innovative use cases. These accelerators provide… Read More →

Using Big Data the right way can give your business the competitive edge it needs to succeed. Unfortunately, it’s all too easy to get lost in the complex Big Data jungle. Before you know it, you’re stuck between Hadoop infrastructure, software, install, and configuration issues that pop up every step… 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.

The foundation of Digital Business is Fast Data—data that’s in motion, emitted by connected products and services like streams of events coming from your car, streams of data about package movements through FedEx or streams of GPS location data from Uber. But there’s one problem: with so much fast-moving information,… Read More →