Big data analytics online training
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Big data analytics online training

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You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.magnifictraining.com

please mail us all queries to info@magnifictraining.com

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    Big data analytics online training Big data analytics online training Presentation Transcript

    • big data analytics online training Course Objective Summary *During this course, you will learn *Introduction to Big Data and Hadoop. *Hadoop ecosystem – Concepts. * Hadoop Map-features reduce concepts and
    • big data analytics online training • CONTACT US: • Call :+91-9052666559 • Mail :info@magnifictraining.com • Visit : www.hadooponlinetraining.net
    • big data analytics online training • ADpevpelilcoaptiinogn st he map-reduce • Pig concepts • Hive concepts • Oozie workflow concepts • HBASE Concepts • Real Life Use Cases
    • big data analytics online training • Introduction to Big Data and • Hadoop • What is Big Data? • bWigh adta atare? • the challenges for processing • What technologies support big data? • What is Hadoop? • Why Hadoop?
    • big data analytics online training • Use Cases of Hadoop • Histiry of Hadoop • Hadoop eco systems • Hdfs • Map reduce • Statistics
    • big data analytics online training • Understanding the Cluster • Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness
    • big data analytics online training • Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • pArlgoobrleitmhms s
    • big data analytics online training • Developing the Map Reduce • Application • Data Types • File Formats