6 Big Data
321
Fig. 6.3 Hadoop ecosystem. (A list of all of the Apache projects can be found at https://hadoop.
apache.org/)
in a shortest amount of time. Finding the patterns hidden within a large, complex
dataset requires processing, filtering, and analyzing massive amounts of data. Over
time, several solutions have been proposed such as developing parallel data mining
algorithms and parallel data source on parallel hardware.
From the technology perspective, Hadoop initially enabled the power of Big Data
by providing large-scale computing sufficiently flexible and affordable storage, so
that a wide variety of organizations could leverage Big Data technology. This is
one of the reasons behind the synonymous use of the terms Big Data and Hadoop.
However, the evolution of technologies has changed the high-tech landscape with a
number of additional tools as discussed in the following sections.
6.2.2 Hadoop History
One of the pillars of the Big Data framework is Apache Hadoop. Hadoop is an
Apache-managed software framework derived from MapReduce and Big Table.
Hadoop is an Apache top-level project built and used by a global community
of contributors and users. It is licensed under the Apache License Hadoop and
321
Fig. 6.3 Hadoop ecosystem. (A list of all of the Apache projects can be found at https://hadoop.
apache.org/)
in a shortest amount of time. Finding the patterns hidden within a large, complex
dataset requires processing, filtering, and analyzing massive amounts of data. Over
time, several solutions have been proposed such as developing parallel data mining
algorithms and parallel data source on parallel hardware.
From the technology perspective, Hadoop initially enabled the power of Big Data
by providing large-scale computing sufficiently flexible and affordable storage, so
that a wide variety of organizations could leverage Big Data technology. This is
one of the reasons behind the synonymous use of the terms Big Data and Hadoop.
However, the evolution of technologies has changed the high-tech landscape with a
number of additional tools as discussed in the following sections.
6.2.2 Hadoop History
One of the pillars of the Big Data framework is Apache Hadoop. Hadoop is an
Apache-managed software framework derived from MapReduce and Big Table.
Hadoop is an Apache top-level project built and used by a global community
of contributors and users. It is licensed under the Apache License Hadoop and
