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Big Data (B.Tech)

Departmental Elective-III: Hadoop ecosystem, MapReduce, HDFS, Spark and NoSQL databases.

6 महीनेअवधि 5Chapters28टॉपिक

सिलेबस · पाठ्यक्रम

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01Unit 1: Introduction to Big Data 6 टॉपिक
  1. Types of digital data: structured, semi-structured, unstructured
  2. History and drivers of big data
  3. Big data architecture and the 5 V's
  4. Big data technology components and applications
  5. Security, privacy and ethics
  6. Analysis vs reporting and modern analytic tools
02Unit 2: Hadoop, MapReduce and YARN 6 टॉपिक
  1. History of Hadoop and Apache Hadoop
  2. Analysing data with Unix tools and with Hadoop
  3. Hadoop streaming
  4. MapReduce job run, failures and scheduling
  5. Shuffle and sort, MapReduce types and formats
  6. YARN: ResourceManager, NodeManager, ApplicationMaster
03Unit 3: HDFS and Hadoop Environment 6 टॉपिक
  1. HDFS design and concepts: blocks, NameNode, DataNode
  2. Data replication and rack awareness
  3. Reading and writing files in HDFS
  4. HDFS command line and Java interface
  5. Data ingest with Flume and Sqoop; Hadoop I-O: compression, serialization, Avro
  6. Setting up and administering a Hadoop cluster; Hadoop in the cloud
04Unit 4: Hadoop Ecosystem: Pig, Hive and HBase 5 टॉपिक
  1. Pig: execution modes and Pig Latin
  2. Hive: architecture, HiveQL, tables and partitions
  3. HBase: data model, regions and client API
  4. ZooKeeper basics
  5. Applications on big data using Pig, Hive and HBase
05Unit 5: Spark, Scala and NoSQL 5 टॉपिक
  1. Spark architecture and installation
  2. RDDs, transformations and actions
  3. Jobs, stages and tasks; Spark on YARN
  4. Introduction to Scala
  5. NoSQL databases: MongoDB and Cassandra

परिचय

आप यह कर पाएँगे

  • Explain the characteristics (V's), types and applications of big data and the challenges of conventional systems
  • Explain the Hadoop architecture, MapReduce job execution and YARN
  • Explain HDFS design, blocks, replication and read / write data flow and use HDFS commands
  • Write simple Pig Latin scripts and HiveQL queries and explain HBase
  • Explain Spark RDDs, transformations and actions and basic Scala
  • Compare NoSQL databases such as MongoDB and Cassandra

यह किसके लिए है

  • B.Tech Computer Science & Engineering students of Semester 6 (AKTU)
  • Students of other universities studying the same subject who want unit-wise coaching

आपको क्या चाहिए

  • Database Management System and Java / Python basics
  • Basic Linux commands

सवाल

Which syllabus does the Big Data course follow?

It follows the AKTU (Dr. A.P.J. Abdul Kalam Technical University, Lucknow) B.Tech syllabus for Big Data. If your own university's syllabus differs, the centre follows your university syllabus.

Will this help in the university examination?

Yes. Teaching is unit-wise as per the AKTU scheme, with previous-year question practice, MCQ tests and doubt sessions before the semester exam.

Will I get hands-on practice with Hadoop?

Yes. A single-node Hadoop / Spark set-up (or a cloud notebook) is used to run HDFS commands, word count and Hive queries.

Download the syllabus (PDF)

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