Posted by gildenshelton565 January - 16 - 2016 ADD COMMENTS

What's in Store for Big Data in 2016?
Spark will kill Map Reduce, but save Hadoop. Map Reduce is quite esoteric. Its slow, batch nature and high level of complexity can make it unattractive for many enterprises. Spark, because of its speed, is much more natural, mathematical, and …
Read more on ADT Magazine

Kudu and the Ongoing Evolution of Hadoop
In other words, Cloudera has a full-fledged alternative to the Hive/MapReduce/HDFS stack with Impala/Kudu, offering new capabilities, improved storage, improved performance, and a simplified architecture. This is huge, and just another indication how …
Read more on Data Informed

Data isn't going big, but AI is
According to Foote's survey of more than 200,000 IT workers in the U.S. and Canada, pay premiums for 31 noncertified big data skills (such as Hadoop, MapReduce, Hbase, Hive, NoSQL, data mining, and base SAS) fell an average of 3 percent in over the …
Read more on Tech Page One

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