6 Reasons Why Java Developers Should Learn Hadoop

Want to learn Hadoop and Data science

Skills that matter- Hadoop

The world around us is changing. Traditional approaches of doing business are giving way to modern methods. Most of the transactions that take place today are over the internet and ecommerce has slowly risen to prominence.

How Open Source Big Data is driving the Global Market?

It has become a known fact that big data has been hogging the limelight in many sectors in the recent times. Such is the powerfulness of big data that 79% of executives feel that companies may lose their competitive position and might even end up in extinction if they do not embrace big data, according to a study by Accenture.

Pig Latin Operators in Hadoop

Pig Latin has a simple syntax with powerful semantics we will use to carry out two primary operations:

Hadoop integration with R

Developers and Programmers are still continue to explore various approaches to leverage the distributed computation benefits of MapReduce and the almost limitless storage capabilities of HDFS in intuitive manner that can be exploited by R.

Pig Architecture and Application Flow in Hadoop

Simple” often sense as “elegant” when it comes to those remarkable architectural drawings for that new Silicon Valley mansion we have planned for when the money starts rolling in after we implement Hadoop.

MapReduce Mapper Class:

Mapper class is responsible for providing implementations for mapping jobs in MapReduce.

Managing files with Hadoop File System Commands

HDFS is one of the two main components of the Hadoop framework; the other is the computational paradigm known as MapReduce.

Data Replication in Hadoop: Replicating Data Blocks (Part – 1)

In HDFS, the Data block size needs to be large enough to warrant the resources dedicated to an individual unit of data processing On the other hand.

Hadoop Java API for MapReduce

Hadoop has gone through some big API change in its 0.20 release, which is the basic interface in the 1.0 version .