Hadoop developer training
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Hadoop developer training

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or full course details please visit our website www.microsoftdynamicsonlinetraining.com

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.
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contact India +91-9052666559
Usa : +1-678-693-3475.

visit www.microsoftdynamicsonlinetraining.com

please mail us all queries to info@magnifictraining.com

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    Hadoop developer training Hadoop developer training Presentation Transcript

    • hadoop developer training Contact : Magnific training +91-9052666559 info@magnifictraining.com
    • • Hadoop Developer Training: Introduction to Apache Hadoop Development: • Introduction to Apache Hadoop Development training class teaches attendees how to build distributed, data-intensive applications using the Hadoop framework. Students learn the principles of parallel programming and how use Big Data tools such as Pig, Hive, and HBase.
    • • Apache Hadoop Training Objectives • All attendees will: • Understand the principles of parallel computing • Understand Hadoop architecture (HDFS and MapReduce) • Define Big Data project architecture • Use additional Big Data tools (Pig, Hive, Flume, etc.) • Use HBase in the project.
    • hadoop developer training • Apache Hadoop Training Outline • Introduction – Hadoop history and concepts – Ecosystem – Distributions – High level architecture – Hadoop myths.
    • hadoop developer training • HDFS – Concepts (horizontal scaling, replication, data locality, rack awareness) – Architecture – Namenode (function, storage, file system meta- data, and block reports) – Secondary namenode – HA Standby namenode – Data node.
    • hadoop developer training • Communications / heart-beats • Block manager / balancer • Health check / safemode • read / write path • Navigating HDFS UI • Command-line interaction with HDFS • File systems abstractions • WebHDFS.
    • hadoop developer training • MapReduce – Parallel computing before MapReduce – MapReduce concepts – Daemons: jobtracker / tasktracker – Phases: driver, mapper, shuffle/sort, and reducer – First MapReduce job – MapReduce UI walk through – Counters
    • hadoop developer training • Pig – Intro: principles and uses cases – Tools and environment – Example applications – Pig versus MapReduce
    • hadoop developer training • Hive – Intro: principles and uses cases – Environment and configuration – Example applications – HIve versus MapReduce – Hive versus Pig
    • hadoop developer training • HBase – History and concepts – Architecture – HBase versus RDBMS – HBase shell – HBase Java API – Splits and compaction – Read path / write path.