Data is an inherent characteristic of every business. The efficiency
of every business depends on its ability to process and handle the data
that flows in. Most corporations are flooded with data from all
directions. To realize the value of data corporations have to find a way
to ingest, store and analyse every type of data within the
organization. How does an organization deal with the large volumes and
variety of data it possesses without increasing costs significantly? And
are your existing data architectures equipped to handle the challenges
posed by today's data?
The open and connected data platforms available today enable
you to handle big data and make business decisions quickly and
Join this webinar to learn how to optimize your data architecture and gain significant cost savings with Hadoop.
Hadoop is an Apache open source framework written in java
that allows distributed processing of large datasets across clusters of
computers using simple programming models. A Hadoop frame-worked
application works in an environment that provides distributed storage
and computation across clusters of computers. Hadoop is designed to
scale up from single server to thousands of machines, each offering
local computation and storage. In this webinar will take you through the
components and uses of Hadoop and the Apache Hadoop tools such as
MapReduce Pig, Hive, Zookeeper, HBasr, Sqoop, Oozie.
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