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SADGURU TECHNOLOGIES - 040401547338179736190 www.sadgurutechnologies.com1. Intro to Hadoop, BigData• What is BigData?• P...

  • Category: Language Classes
  • Published: 25/07/2016
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    SADGURU TECHNOLOGIES - 04040154733
    8179736190 www.sadgurutechnologies.com
    1. Intro to Hadoop, BigData
    • What is BigData?
    • Parallel Computer vs. Distributed Computing
    • Brief history of Hadoop
    • RDBMS/SQL vs. Hadoop
    • Scaling with Hadoop
    • Intro to the Hadoop ecosystem
    • Optimal hardware and network configurations for Hadoop
    2. HDFS – Hadoop Distributed File System
    • Linux File system options
    • NameNode architecture
    • Secondary NameNode architecture
    • DataNode architecture
    • Heartbeats, Rack Awareness, Health Check
    • Exploring the HDFS Web UI
    LAB #2: HDFS CMD Line
    3. Beginning MapReduce
    • MapReduce Architecture
    • JobTracker/TaskTracker
    • Combiner
    • Partitioner
    • Shuffle and Sort
    • Exploring the MapReduce Web UI
    • Walkthrough of a simple Java MapReduce example
    • Use case: Word Count in MapReduce
    LAB #3: Running MapReduce in Java
    4. Advanced MapReduce
    • Data Types and File Formats.
    • Driver, Mapper & Reducer Class Code.
    • Build Map & Reduce programs using Eclipse.
    • Serialization and File-Based Data Structures
    • Input/output formats
    • Counters
    • Run Map Reduce locally and on cluster.
    LAB #4: Java MapReduce API
    5. Hive for Structured Data
    • Hive architecture
    • Hive vs. RDBMS
    • HiveQL and Hive Shell
    • Managing tables
    • Data types and schemas
    • Querying data
    • Partitions and Buckets
    • Intro to User Defined Functions
    LAB #5: Exploring Hive Commands
    6. Overview of NoSql and HBase
    • Introduction of NoSql.
    • CAP Theorem.
    • HBase architecture
    • HBase versions and origins
    • HBase vs. RDBMS
    • Data Modeling
    • Column Families and Regions
    LAB #6: Intro to HBase Command Line
    7. Working with Sqoop
    • Introduction to Sqoop
    • Import Data
    • Export Data
    • Sqoop Syntaxes
    • Database Connection
    Lab#7: Hands on exercise on Sqoop and mysql DB.
    Thanks & Regards,
    SADGURU TECHNOLOGIES
    H. No: 7-1-621/10, Flat No: 102, Sai Manor Apartment, S.R. Nagar Main Road,
    Hyderabad-500038, Landmark: Beside Umesh Chandra Statue, Approach Road Parallel to Main Road
    Mob: 91-8179736190, Ph: 040-40154733
    USA: +1 (701) 660-0529


    Phone Number : 08179736190

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