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Why Do We Need Hadoop

Hadoop can help marketers to deliver a better customer experience.<br><br><br><br><br>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.<br><br>Visit : http://www.oodlestechnologies.com/apache-hadoop-applications

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Why Do We Need Hadoop

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  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.

  2. 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 today’s 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 while using cost-effective methods to prioritize data management.

  3. 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.oodlestechnologies.com/apache-hadoop-applications

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