CCS 334 Big Data Analytics question papers

Question papers

• November/December 2023

  Question paper code 20397

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Syllabus

1. Unit 1: Understanding Big Data5 hours

   Introduction to big data · convergence of key trends · unstructured data · industry examples of big data · web analytics · big data applications · big data technologies · introduction to Hadoop · open source technologies · cloud and big data · mobile business intelligence · Crowd sourcing analytics · inter and trans firewall analytics

2. Unit 2: NoSQL Data Management7 hours

   Introduction to NoSQL · aggregate data models · key-value and document data models · relationships · graph databases · schemaless databases · materialized views · distribution models · master-slave replication · consistency · Cassandra · Cassandra data model · Cassandra examples · Cassandra clients

3. Unit 3: Map Reduce Applications6 hours

   MapReduce workflows · unit tests with MRUnit · test data and local tests · anatomy of MapReduce job run · classic Map-reduce · YARN · failures in classic Map-reduce and YARN · job scheduling · shuffle and sort · task execution · MapReduce types · input formats · output formats

4. Unit 4: Basics of Hadoop6 hours

   Data format · analyzing data with Hadoop · scaling out · Hadoop streaming · Hadoop pipes · design of Hadoop distributed file system (HDFS) · HDFS concepts · Java interface · data flow · Hadoop I/O · data integrity · compression · serialization · Avro · file-based data structures · Cassandra · Hadoop integration

5. Unit 5: Hadoop Related Tools6 hours

   Hbase · data model and implementations · Hbase clients · Hbase examples · praxis · Pig · Grunt · pig data model · Pig Latin · developing and testing Pig Latin scripts · Hive · data types and file formats · HiveQL data definition · HiveQL data manipulation · HiveQL queries