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What is Big Data Hadoop?
Big Data Hadoop is a flexible system that provides data
storage and processing through basic hardware. It is a relatively inexpensive the alternative with multiple options within its own ecosystem, which is considered
the best option, in many cases, when compared with expensive and customized
systems tailored to the work in question. Currently, it is the most widely used system for big data analysis and, in fact, it is claimed that more than half of
the Fortune 50 companies use it.
One of the defining characteristics of Big Data Hadoop is those companies can add or modify their data system as their needs change, using
cheap and easily available parts from any IT provider. In its original state,
the one that is discovered using the basic modules that Apache makes available
to the user can seem very complex, even for IT professionals. For this reason,
several commercial versions have been developed, which simplify the task of
installing and running a Hadoop system, while offering training and support
services.
Big Data Hadoop makes it possible for companies to expand
and adjust their data analysis operations as their business grows, and the
support and enthusiasm of the open source community behind it have led to great
strides in making the Big data analysis is more accessible for all. Big Data
Hadoop is associated with flexibility, scalability, agility, and savings,
however, in this very advantageous scenario can pose some challenges that need
to be known.
A Hadoop is common to find in the profiles related to data management, one of the most prominent positions that require this skill is theData Scientist. This growing interest represents an opportunity to deepen this
technology, from its history and evolution, to know the reason that makes it
so relevant for organizations.
Hope this Article helps, Thanks for Reading
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