We live in an age of uncertainty, where old assumptions suddenly become open questions. Generalized anxiety is bad for you, though, so focus on these 10 points
We all have enough to worry about. Read this list and you'll have 10 fewer reasons to stay up all night
Establish the proper requirements, and you're halfway to a successful BI project. But gathering and rationalizing those requirements demands a rigorous approach
Storm lets you create real-time analytics for every conceivable need. Here's a tasty example using Twitter data and source code hosted on GitHub
Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here's how to choose between them
Authored by: Phil Rhodes, Senior Consultant
The new generation of Big Data tools largely focus on improving support for real-time (or near-time) computation and interactive applications by reducing the latency involved in processing jobs. If you look at Storm, Spark, Tez, and other newer tools, you will frequently encounter the term “DAG” or Directed Acyclic Graph. This article will explain why traditional MapReduce is subject to undesirable latencies, what a DAG is, and why these new systems use this approach.
Hadoop has begun a slow and inexorable move from prototypes and experimental projects to core enterprise data management. As the ecosystem of Hadoop projects has matured, new capabilities have filtered into Hadoop to grant it enterprise-ready status.
You already know that gobs of data about you are strewn across the Internet. The scary part is when they put it all together