ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Thus, why not take the lead and prepare yourself to tackle any situation in the future?

Hadoop 52

Hadoop ETL Tools Unstructured Data ETL System 52

ProjectPro

MARCH 21, 2016

Table of Contents Need to Offload Data from Mainframes to Hadoop Challenges to be Successful with Hadoop and Mainframes Mainframe Legacy Systems Ride on Hadoop: Offloading from Mainframe to Hadoop Advantages of Using Hadoop with Mainframes for Legacy Workload Why Mainframe Professionals should learn Hadoop in 2016?

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

OCTOBER 15, 2014

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop? 11) Pig supports Avro whereas Hive does not. 11) Pig supports Avro whereas Hive does not.

Hadoop 52

Hadoop Unstructured Data Java SQL 52