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BigDataHadoopskills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming bigdata to valuable information and the power of Hadoop in impeding it.
As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.
It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?
CIOs are looking for softwareengineers who can think beyond what they're doing today and for business analysts who can predict what customers will want next year and the year after that. The top hiring technology trends for 2015 consists of boom for bigdata, organizations embracing cloud computing and need for IT security.
A Master’s degree in Computer Science, Information Technology, Statistics, or a similar field is preferred with 2-5 years of experience in SoftwareEngineering/Data Management/Database handling is preferred at an intermediate level. Hadoop , Kafka , and Spark are the most popular bigdata tools used in the industry today.
Paxata has been recognized as one of the best bigdata and business analytics companies to work for in 2015 for its smart work environment that balances fun such as- weekly NERF gun matches, demo bake-offs , with engineering projects based on Apache Spark and Hadoop ,cloud delivery, distributed computing and other modern user interfaces.
This article will provide bigdata project examples, bigdata projects for final year students , data mini projects with source code and some bigdata sample projects. The article will also discuss some bigdata projects using Hadoop and bigdata projects using Spark.
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