Features

The Rise of Predictive Modeling Factories

So you installed Hadoop and built a data lake that can store petabytes of data. Now what? According to leaders in predictive analytics, the best thing you can do is to build a predictive model factory that automates much Read more…

Why Machine Learning Is A Priority for Andreessen Horowitz in 2015

Marc Andreessen and Ben Horowitz are legendary in the Silicon Valley, having invested early in firms like Twitter, Facebook, Box, Skype, and Groupon. So when the Sand Hill Road experts with an eye for picking winners put Read more…

How Big Data Is Remaking Customer Loyalty Programs

Retailers spend about $2 billion every year to build and run loyalty card programs in the hopes of creating lifelong, devoted customers. However, those loyalty programs often fail to deliver as advertised. But now, advan Read more…

Spark Just Passed Hadoop in Popularity on the Web–Here’s Why

Interest in Apache Spark surpassed Apache Hadoop for the first time last month, according to Google Trends. While it's not a definitive statement of Spark's actual impact on big data processing in the real world, it does Read more…

Hadoop ISVs Break Away from MapReduce, Embrace Spark, In-Memory Processing

Big data analytic software vendors who run on Hadoop are increasingly replacing their MapReduce engines with Apache Spark and other in-memory analytic engines as the runtime of choice. Many of these next-gen Hadoop vendo Read more…

Three Key Data Types for Hadoop Analytics

One of the great things about Hadoop is the openness and flexibility of HDFS. You can store practically any type of data that you want in Hadoop, which has forever changed the economics of data storage. But when it comes Read more…