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5 Reasons why Business Intelligence Professionals Should Learn Hadoop
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5 reasons why business intelligence professionals should learn Hadoop.

Dec 30, 2015

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Industry studies reveal that Hadoop tools like PIG and Hive are becoming popular with BI professionals\n - PowerPoint PPT Presentation
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Page 1: 5 reasons why business intelligence professionals should learn Hadoop.

5 Reasons why Business Intelligence Professionals

Should Learn Hadoop

Page 2: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop is being recognized as a vital constituent of BI

Industry studies reveal that Hadoop tools like PIG and Hive are becoming popular with BI professionals

Page 3: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop is being recognized as a vital constituent of BI

BI professionals have started integrating Hadoop with DW’s, analytic tools, web servers, data visualization tools, reporting tools and analytic databases,to handle the huge spurt of data that is being generated

Page 4: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop is being recognized as a vital constituent of BI

In the next 4 years more than 51% of the organizations will be using Hadoop, and the Hadoop trend will affect half of the BI/DW segment of the IT sector

Page 5: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop has a cutting edge over traditional RDBMS

Contrary to traditional RDBMS's , Hadoop is highly scalable/flexible and is designed to store and distribute huge data through multiple servers operating in parallel nodes.

Page 6: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop has a cutting edge over traditional RDBMS

When it comes to processing massive amounts of data, Hadoop has established itself as the most inexpensive storage solution.

Page 7: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop has a cutting edge over traditional RDBMS

When using Hadoop, data sent to an individual node also replicates on all the other nodes in the cluster, so in case of failure on one node, there is always a backup copy of the data available in the cluster.

Page 8: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop is good for data integration and BI

Hadoop integrates with a plethora of BI tools like Tableau, Pentaho, Datameer, BIRT to create interactive dashboards and diagrams for data visualizations.These BI tools connect with Hadoop to present the data in an accessible and to easy to comprehend manner, which facilitates informed consumer and business decisions.

Page 9: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop is good for data integration and BI

"It's common that Hadoop is used in conjunction with databases. In the Hadoop world, databases don't go away. They just play a different role than Hadoop does," -

Charles Zedlewski, VP of product at Cloudera.

Page 10: 5 reasons why business intelligence professionals should learn Hadoop.

Hadoop is cost effective

Hadoop offers horizontal scalability that allows using cost effective hardware and scalability.  A Cloudera Executive asserts “Hadoop systems, including hardware and software, cost about $1,000 a terabyte or as little as one-twentieth the cost of other data management technologies”.

Page 11: 5 reasons why business intelligence professionals should learn Hadoop.

Great job opportunities for Hadoop Certified BI professionals

Learning Hadoop is synonymous with a flourishing career in BI.

Companies like Amazon, IBM, MapR, Cloudera and Hortonworks are propelling Hadoop technology to the next frontier. The global market for Hadoop based technologies will be reaching $8.74 billion by 2016 and it is growing at a rapid pace of over 55%. No doubt, this is one of the most important reasons for BI professionals to learn Hadoop!

Page 12: 5 reasons why business intelligence professionals should learn Hadoop.

For more information on the best Hadoop course

Please visit http://www.dezyre.com/Big-Data-and-Hadoop/19