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Due to the coming of new technologies,
devices, and communication means like social networking places/locations, the
amount of data produced by people are growing quickly every year. The data is
too big, moves too fast, Big data tutorials or
doesn't fit the legal limitations/criticisms of your (computer file full of
information) (related to the beautiful design and construction of buildings,
etc.)s. To gain value from this data, you must choose a different way to
process it. BigData is the latest (word
said a lot lately) in the IT Industry. Apache's Hadoop is a leading Big Data
(raised, flat supporting surface) used by IT giants Yahoo, Facebook &
Google. 'Big Data' is a term used to describe collection of data that is huge
in size and yet growing (more and more as time goes on) with time. In short,
such a data is so large and complex that none of the usual data management
tools can store it or process it (in a way that produces a lot with very little
waste). There has been a lot of investment in Big Data by different companies
in last few years. This rise in usage of big data (information-giving numbers)
has resulted in high demand of skilled big data professionals. While there has
been a lot of debate over usefulness of this spend, there is a clear increase
in the jobs on Big Data. In Bigdata tutorial there are a lot of technologies
that are connected with Big Data, which
can act as an added road block to get you started with names like Hadoop,
MapReduce, Spark, Flume, Hbase, Pig , Sqoop and Oozie, Zookeeper,.......