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Type Computer 5 levels of training on Big Data Analytics using Hadoop!! What is Big Data?  Everyday, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.  According to IBM, 80% of data captured today are unstructured, from sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals, to name a few. All of this unstructured data is Big Data. What does Hadoop solve?  Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Who should go for this? Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course. Objectives  Master the concepts of Hadoop Distributed File System  Setup a Hadoop Cluster  Write MapReduce Code in Java  Perform Data Analytics using Pig and Hive  Understand Data Loading Techniques using Sqoop and Flume  Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing  Have a good understanding of ZooKeeper service  Use Apache Oozie to Schedule and Manage Hadoop Jobs  Implement best Practices for Hadoop Development and Debugging  Develop a working Hadoop Architecture  Work on Big Data Analytics and gain Hands on Project Experience To know further details, information on group discounts, In-house training, consulting and corporate nominations for the training, Please Contact jayanthi: / 044-

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