Why do we need hadoop - PowerPoint PPT Presentation

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Why do we need hadoop

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Hadoop can help marketers to deliver a better customer experience. Oodles technologies helps you build desired platforms with the help of our skilled developers.We have the right combination of concentration and commitment to drive innovation while using cost effective methods to prioritise data management. – PowerPoint PPT presentation

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Title: Why do we need hadoop


1
WhY Do We Need Hadoop Hadoop can help marketers
to deliver a better customer experience.
How Is Hadoop Related To Big Data? Big Data and
Hadoop are the two most confused-together terms.
Hadoop is one of the tools that is mostly used
and primarily designed to handle big data. It
works to interpret or analyze the results of big
data searches by means of specific proprietary
algorithms. Hadoop is an open source program
under the Apache license maintained by a global
community of users. It incorporates various main
components, including a MapReduce set of
functions and a Hadoop distributed file system.
Hadoop is the power behind flourishing big data
industry. It is an open source framework
licensed under Apache Software Foundation.
Hadoop has ability to process huge amount of data
without investing much capital.
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Apache Hadoop is preferred by almost every
organization in order to cut down the cost and to
create a strong analytic and management dashboard
solution. It is written in Java programming
language which is globally accepted. It has
components like MapReduce and Hadoop Kernel etc.
This has become a core element of modern data
architecture and a highly efficient, scalable
procedure to manage enterprise data. A modern
data architecture of Hadoop helps win todays
marketplace. Working with Java APIs directly is
error-prone and a bit complex algorithm. Hadoop
has two options to make things easier and
simpler.
Pig - A programming language to simplify common
tasks like storing the final results, loading
data and expressing transformations on the data.
Its built-in operation system can organize
semi-structured data, like log files, and the
programming language is extensible using Java to
add support for transformations and custom data
types.
  • Hive - This function allows Hadoop to work as a
    data warehouse. Its core capabilities are
    extensible. Hive looks like conventional database
    code with SQL access.
  • Our Business Drivers
  • Implementation and testing
  • On-time delivery
  • Well versed with essential programming languages
  • Reduced development cost
  • Why we?
  • Highly skilled technologists provide every needed
    support to our clients for their
  • hadoop development projects
  • . Identify all the troubles related to hadoop,
    and we help you build desired platform with
  • the help of our skilled
  • hadoop developers
  • . We have the right combination of concentration
    and commitment to drive innovation

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Want to enhance your data storage pool? Try us.
We help enterprises and software companies build
the generation next products with large scale
data management and reliable analytics.
Oodles technologies helps you build desired
platforms with the help of our skilled
developers.We have the right combination of
concentration and commitment to drive innovation
while using cost effective methods to prioritise
data management. Visit http//www.oodlestechnol
ogies.com/apache-hadoop-applications
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