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Let’s talk about the elephant in the room

Apache Hadoop 3.2 is here!

Big data was born on the back of Apache Hadoop. Today, we take a look at the latest version of this open source framework for distributed computing, Hadoop 3.2! Highlights include powerful new features and deep learning applications.

Major milestone alert

Apache Hadoop 3.0 is here

Hadoop is back! The latest version [3.0.0] of the Open Source software framework for reliable, scalable, distributed computing brings a lot of new features, including an early preview (alpha 2) of a major revision of YARN Timeline Service, shell script rewrite and more.

John Davies' session | JAX Finance 2016

Fast Data & Analytics — SQL, NoSQL, IMDGs, Hadoop, Spark. What next?

Twenty years ago we were just learning how to hook up the new Java language to our relational database to run queries. Five years later and the first IMDGs are starting to appear on the scene and things get faster. Another 5 years and we get NoSQL, finally we can get rid of the ORM, NoSQL works nicely with IMDGs too. Then comes Hadoop and for some bizarre reason we start to see ORM coming back – something’s wrong. What next?

Hadoop is back. Sort of

5 reasons to use Hadoop-as-a-Service

In this article, Nilay Shrivastava, Business Manager at IBM Cloud, explains why we should use Hadoop-as-a-Service. He claims there are at least five benefits that should spark our interest.

In for the long run?

Is Hadoop losing its spark?

A 2015 survey by Gartner Inc. revealed that only 18 percent of respondents expressed their desire to either try out or adopt Hadoop in the next few years. However, this report is not the only one which suggested that Hadoop’s star is fading.