Big Data Architect Is Calling You – Become A Hadoop Administrator
So, here we are, Hadoop turns 10.
During this time we have seen two major phases of maturity that this open
source software has gone through. First was how companies used it initially and
second were the tools that emerged to create a vibrant ecosystem in this
process. Now in its tenth year we are seeing Hadoop undergoing certain changes
which is an indicator of a third phase of maturity and this phase is believed
to be more robust in terms of functionality and accessibility in comparison to
the former two.
At the beginning when Hadoop was
still a new tool in the market there were only a few scattered groups which
looked for research projects. Users ran MapR and HBase and used tools like Pig
and Hive which made the usage of Hadoop simpler. That was a time when more
thought was given to “writing jobs” and to concerns like “will this job get
done?” Things have changed now and people have started thinking in terms of
applications, workflows, predictable run times and operability.
With time it became clear that
Hadoop could add real business value which resulted in departments starting to
build workloads for BI and reporting purposes in order to extract meaningful
insights. This brought some changes in the way the IT thinks. People started
caring about predictable run times, running various workloads across a shared
infrastructure, efficiency and return on investments, disaster recovery and
other such concerns which are usual for an IT project.
Similar to the first phase of
maturity, the second phase of Hadoop maturity was replicated by increasing
development of Hadoop system as a whole. This was the phase when innovations
like YARN, Spark and Kudu came into being.
As we speak, we are entering the
aforementioned third phase of Hadoop maturity. This phase has made Hadoop
accessible to all business units and we can clearly witness its
multi-departmental uses. It has become for the IT service providers to come
with a solution like “Hadoop as a Service” or “Big Data as a Service.” There
are new sets of requirements whose consideration is imperative during this
third phase. To cite an example, in a scenario where numerous departments are
sharing the infrastructure there have to be defined SLAs. There cannot be a
situation where one department’s Hadoop usage slows down other project beyond a
certain level. Efficiency is another concern which needs to be addressed
carefully as Hadoop takes up a huge amount of a company’s IT capacity.
Such constant changes and developing
scenarios give rise to a lot of work opportunities in the field of Big Data
Analytics and Hadoop. A Hadoop Administrator Training prepares you to understand the Hadoop ecosystem and work
on it. Such trainings educate you about the nuances of Hadoop cluster and its
ancillaries like MapR, HBase, Pig and Hive etc. Collabera TACT has one of the
finest Big Data Hadoop Administrator Training by the industry standards. If you
wish to become a Hadoop Administrator and kick start your career in the field
of Big Data then this is the right program for you. Hadoop is going place and
so can you!!
