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Syllabus- Course Objective Summary During this course, you will learn: Introduction to Big Data and Hadoop Hadoop ecosystem - Concepts Hadoop Map - reduce concepts and features Developing the map - reduce Applications Pig concepts Hive concepts Oozie workflow concepts HBASE Concepts Real Life Use Cases Introduction to Big Data and Hadoop What is Big Data? What are the challenges for processing big data? What technologies support big data? What is Hadoop? Why Hadoop? History of Hadoop Use Cases of Hadoop Hadoop eco Syst em HDFS Map Reduce Statistics Understanding the Cluster Typical workflow Writing files to HDFS Reading files from HDFS Rack Awareness 5 daemons Let's talk Map Reduce Before Map reduce Map Reduce Overview Word Count Problem Word Count Flow and Solution Map Reduce Flow Algorithms for simple & Complex problems Developing the Map Reduce Application Data Types File Formats Explain the Driver, Mapper and Reducer code Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster Hands on exercises How Map - Reduce Works Anatomy of Map Reduce Job run Job Submission Job Initialization Task Assignment Job Completion Job Scheduling Job Failures Shuffle and sort Oozie Workflows Hands on Exercises Map Reduce Types and Formats Map Reduce Types Input Formats - Input splits & records, text input, binary input, multiple inputs & database input Output Formats - text Output, binary output, multiple outputs, lazy output and database output Hands on Exercises Map Reduce Features Counters Sorting Joins - Map Side and Reduce Side Side Data Distribution MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache Hands Exercises Hive and PIG Fundamentals When to Use PIG and HIVE Concepts Hands on Exercises HBASE CAP Theorem  Introducti on to NOSQL Hbase Architecture and concepts Programming and Hands on Exercises Case Studies Discussions Certification Guidance Fee- INR+100 INR Registration Duration-45 hours(weekdays & weekends) Online training available on request Get trained on latest technology by ZEN industry expert. Technology: Java-SCJP/OCJP/Hibernate/Struts/Sprint etc.NET- VB.Net/C#/ASP.net/ MVC frarmrework etc Big data/Hadoop etc ETL/ data Stage/SQL Oracle// DBA/App / forms & reports etc C,C++ PHP/HTML5/javascript/JQuery/AJAX/AngularJS etc For other course like software testing, java, PHP, web technologies, Mobile application using Android/iOS and phone GAP please visit our office or contact us on given number Zeuristech Enterprise Networks Pvt. Ltd.,-ZEN 2nd Floor, Saikar Complex,Beside Ginger Hotel Bhumkar Chowk -pune- Land Mark- ICICI/AXIS Bank ATM Building

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Transactions aren�t the only goal, creating knowledge-sharing networks is, based on the insights gained from big data analytics. �Big data is having an impact on organizations� reaction time to supply chain issues (41%), increased supply chain efficiency of 10% or greater (36%), and greater integration across the supply chain (36%). �Embedding big data analytics in operations leads to a 4.25x improvement in order-to-cycle delivery times, and a 2.6x improvement in supply chain efficiency of 10% or greater. �Big data has the potential to provide improved traceability performance and reduce the thousands of hours lost just trying to access, integrate and manage product databases that provide data on where products are in the field needing to be recalled or retrofitted. �Increasing supplier quality from supplier audit to inbound inspection and final assembly with big data. �The advertised salary for technical professionals with Big Data expertise is $ �net of bonuses and additional compensation. 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As we insinuated earlier, big data can be generated at large volumes, the data is generated from various sources, which may bestow it with a variety formats and depending on type of data and nature of its origin, it may be generated at variable speeds. �Hadoop is the data platform chosen by many because it provides high performance � especially if you replace MapReduce in the Hadoop stack with the Apache Spark data processing engine. �Hadoop has evolved into a user-friendly data management system. Different implementations have done their part to optimize Hadoop�s manageability through different administrative tools. Look for a distribution that has intuitive administrative tools that assist in management, troubleshooting, job placement and monitoring. Advanced Hadoop EcoSystems Training in Chennai Most wanted � Classroom Training Now @ Chennai Weekend / Online /Fasttrack Training Modes Learn anything under Big Data & Cloud � Talk to our Big Data Expert Team. 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RCP Technologies is a unique and pioneer institute mainly started with the soul objective of imparting cutting edge, technologically superior and state-of-art, high-end, and career oriented curriculum based courses in Big Data Hadoop and other courses like Data Science, Apache Storm, Spark, Python, Agile, MongoDB, SOA, OSB, Tableau, Cassandra, ADF, Informatica, Obiee, Obia etc. We have trainers who consultants worked in MNC companies. We make sure the best trainers are selected and students gain a lot of knowledge once the training is completed. We don't target lot of students for our training classes but will make sure the exact number of students who are the best fit for carrying out a curriculum are selected. We are not quantity oriented but quality oriented. If you are looking for a professional training in the IT, then we are the best in the business. We have inhouse training facilities along with server setup which makes it a complete corporate environment. For more details call us at share your contact details. What is Hadoop? Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop was born out of a need to process big data, as the amount of generated data continued to rapidly increase. As the Web generated more and more information, it was becoming quite challenging to index the content, so Google created MapReduce in , then Yahoo! created Hadoop as a way to implement the MapReduce function. Hadoop is now an open-source Apache implementation project. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative. As for the more specific functions, Hadoop has a large scale file system (Hadoop Distributed File System or HDFS), it can write programs, it manages the distribution of programs, then accepts the results, and generates a data result set. Only RCP technologies provides training designed by the leaders and committers of Hadoop. We present valuable real world scenario-based training developed by the core architects, builders and operators of Hadoop with unmatched depth and expertise so that you can be assured you are learning from the experts. RCP technologies is a Interactive Learning Portal started by industry experts with an aim to provide Quality Training in Hadoop Technology. RCP Technologies is offering quality Training services to hadoop to students worldwide. HADOOP Classroom & Online Training by RCP Technologies with an excellent and real time faculty. Our Big Data Hadoop course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability Visit us at: RCP technologies Pvt Ltd, #302, Annapurna Block,Aditya Enclave, Near Mitrivanam, Ameerpet, Hyderabad. Helpline:

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