Hadoop, Open source, Big Data, Data
Science, NoSQL Databases all these names of skill sets are very important and
demanding in IT Industry for the clients. You can join Big Data Testing Classes
because Hadoop is playing major role in data storage and processing
field because of multiple reasons:
· It is open source technology.
· Hadoop has the complete Ecosystem that has a
list of tools like Pig, Hive, Sqoop, Flume, oozie, HDFS, YARN, MapReduce and
even now Spark and Scala also included in Hadoop Ecosystem. So under single
umbrella we can get a variety of tools and can easily fulfill variety of
requirements of the clients by processing data using commodity hardware. So
Hadoop is an open source technology which provides freeware tools and Hardware
cost is also very cheap as compare to other licensed tools hardware need.
· In Hadoop Ecosystem now as open source and Big
Data compatible Real time solution, we have variety of NoSQL based databases like
HBase, Cassandra, MongoDB, Neo4j etc.
If we just imaging and find how
much data we are generating every moment world-wide then it will be a big
surprise for us but we have a reliable and tested technology in IT Industry
that is capable to handle huge volume of data and serving since almost 10 years
to specially Social Networking sites and search engines. With Bigdata
and Hadoop skills you can make an amazing opportunity in the IT
industries.
Now as for other clients in Banking,
Healthcare, Automotive, Insurance and other domains clients are getting large
volume of data from real-time repositories as well as historical data in
warehouse repository, they also need some reliable storage and processing
system that is the reason now Hadoop is in Demand in service based industry
also.
So there are two major factors behind
Hadoop demand:
· Open source Software and commodity Hardware
· Scalable and can handle Big Data in distributed
and parallel processing architecture
That is the reason nowadays lots
of trainings being conducted on Big Data Hadoop Training
and ecosystem of Hadoop
1 comments:
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