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#Big Data

Interview with Perry Krug, Principal Architect at Couchbase

Couchbase and the dynamics of the NoSQL market: “There is life beyond analytical and relational databases”

2017 has been an interesting year in the NoSQL space. The big data market is full of opportunities but there are also a lot of changes happening right now. We talked with Perry Krug, Principal Architect at Couchbase about the future of the NoSQL space, the market dynamics and what’s next for Couchbase.

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.

Interview with Ben Bromhead, CTO and Co-Founder at Instaclustr

Instaclustr: “We want to help grow the Apache Cassandra project”

Instaclustr, an open source as-a-service company, delivering reliability at scale wants to improve and maintain Apache Cassandra. Their intent is to build a team of committers that are actively involved and can provide some real operational experience to the community. We talked with Ben Bromhead, CTO and Co-Founder at Instaclustr about all this and more.

Interview with Markus Ehrenmüller-Jensen

“There are always surprises when you work with data because data is not very clean, naturally”

Our first ML Conference will debut in December in Berlin. Until then, we’d like to give you a taste of what’s to come. We talked with, Markus Ehrenmüller-Jensen, Business Intelligence Architect at Runtastic about how the company involves machine learning into their daily business, the benefits, the battle scars and everything in between. Also, you’ll get a sneak peek at his talk.

They share a closely knitted future

Understanding the relationship between IoT and Big Data

Internet of Things(IoT) and big data are closely intertwined and although they are not the same thing, it is very hard to talk about one without the other. Before we analyze their connection, let us take a much closer look at these two practices.

Starring: Java!

What role will Java play in the future of Big Data and IoT?

Java’s not going anywhere, no doubt about that. But why are people choosing to use Java? And what sort of role will it play in the future development of Big Data and IoT? In this article, Jane Reyes explores the relationship between this old favorite of a programming language and the newest tech in the field.

Still the “sexiest job of the 21t century”

Understanding data engineering and what it means for the future

The idea of collecting and analyzing data to gather insights isn’t really new. However, the specific roles involved in the collection and analysis of data have grown and evolved considerably over the last decade as the amount of data being created has increased at a staggering rate. In this article, Cher Zavala explains why data engineers are so important.

SMACK — Next generation Big Data

Big Data becomes Fast Data

Big Data is changing. Buzzwords such as Hadoop, Storm, Pig and Hive are not the darlings of the industry anymore —they are being replaced by a powerful duo: Fast Data and SMACK. Such a fast change in such a (relatively) young ecosystem begs the following question: What is wrong with the current approach? What is the difference between Fast and Big Data? And what is SMACK?

“If you can cache everything in a very efficient way, you can often change the game”

Netflix OSS: Change the game with Hollow

Netflix Hollow is a Java library and comprehensive toolset for harnessing small to moderately sized in-memory datasets which are disseminated from a single producer to many consumers for read-only access. It is built with servers busily serving requests at or near maximum capacity in mind and its aim is to address the scaling challenges of in-memory datasets. Let’s see the advantages that come from using Netflix Hollow.