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.
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.
LinkedIn has open sourced Dr. Elephant , a tool focused toward helping Hadoop users understand and optimize their flows which solves about 80 percent of the problems through simple diagnosis.
Spark has made some improvements over Hadoop but where are we now with this mess? John Davies will shed some light on this issue and point out the latter’s importance even as time goes by and Spark challenges its reign.
After a survey on Hadoop revealed that 70 percent of respondents are most interested in Spark, a whole debate on the potential demise of Hadoop started to shape up.
Who’s the sheriff in today’s data centre wild west? Postgres advocate Pierre Fricke looks at the risks that NoSQL will pose in years to come, while doing his best to deflate the Hadoop hype.
Although Facebook famously ditched Cassandra to use HBase for its messenger service, the NoSQL database remains largely overlooked. Ubeeko CEO Ghislain Mazars takes a look under the hood of HBase features.
Google have released an open source MapReduce framework for C, called MR4C, that allows developers to run native code in the Hadoop framework. Added contributions to the project are welcomed from the community.
After progressing all the way up to version 0.99, HBase 1.0 is here; a major milestone in the Apache project’s development, offering some exciting features and new APIs without sacrificing stability.
A major leap has been made for the newest version of Apache Hive, now proudly stepping up to version 1.0.0. After nine years of work, Hive can now embrace the new naming structure and all that comes with it.
Apache Hadoop, Apache Spark, Akka, Java 8 streams and Quasar: A look at the classic use cases to the newest concurrency approaches for Java developers.
A look at the pros and cons of the big data processing framework that took the industry by storm.
Elasticsearch founder shares his experiences with Lucene and tells us how Elasticsearch all started with a simple cooking app for his wife.
Big data has made big wins for a small few. But theres still plenty of ways for companies to hurt themselves trying to hop on the analytics bandwagon.
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