Subject Details
Dept     : MCA
Sem      : 3
Regul    : 2019
Faculty : Yuvarani E
phone  : NIL
E-mail  : learnlearnn@gmail.com
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  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    T1 - History of Hadoop- The Hadoop Distributed File System

  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:
    Introduction to Hadoop
    Hadoop
    Introduction to Big Data
    Big Data for Beginners
    Problems - Big data Solutions
    Hadoop Map Reduce
    Design of ZooKeeper
    Design of HBASE
    Case Study: Flight Data Analyzing using Spark GraphX
    R Programming
    R Functions

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    T1 - History of Hadoop- The Hadoop Distributed File System,
    T1 - Setting up a Hadoop Cluster,
    T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming

  • Assignment

    Assignment topic is Big Data in Health care and due date is 31-10-2023.

  • Assignment

    Assignment topic is Big Data in Health care and due date is .

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:
    UNIT 1 - 2MARKS,
    UNIT 2 - 2MARKS,
    UNIT 3 - 2MARKS,
    UNIT IV - 2MARKS,
    UNIT V - 2MARKS

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Introduction to BigData,
    Topic2 - Challenges of Conventional Systems,
    Topic3 - Intelligent data analysis,
    T4 - Data - Analytic Processes and Tools,
    T5 - Modern Data Analytic Tools,
    T6 - Statistical Concepts: Sampling Distributions - Re-Sampling,
    T8 - Statistical Inference,
    T9 - Prediction Error,
    Revision Unit1,
    T1 - History of Hadoop- The Hadoop Distributed File System,
    T4 - Design of HDFS-Java interfaces to HDFS Basics,
    T2 - Components of Hadoop,
    T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming,
    T5 - Developing a Map Reduce Application- How Map Reduce Works,
    T6 - Anatomy of a Map Reduce Job run- Failures,
    T7 - Job Scheduling-Shuffle and Sort – Task execution,
    T1 - Setting up a Hadoop Cluster,
    T5 - Administering Hadoop,
    T7 - Hadoop benchmarks,
    T4 - Security in Hadoop,
    T6 - HDFS - Monitoring-Maintenance,
    T8 - Hadoop in the cloud,
    T1 - Applications on Big Data Using Pig and Hive,
    T2 - Data processing operators in Pig,
    T3 - Hive services – HiveQL,
    T4 -Querying Data in Hive,
    T5 - Fundamentals of HBase and ZooKeeper,
    T6 - Visualizations - Visual data analysis techniques,
    T2 - Functions and packages in R,
    T1 -Introduction to R: Overview of R

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