CCS334 BIG DATA analytics

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UNIT I UNDERSTANDING BIG DATA

1. (Convergence of key trends, industry examples of big data) may be part c , web analytics

2. open source technologies,cloud and big data , mobile business intelligence ***

3. Crowd sourcing analytics, inter and trans firewall analytics.***

UNIT II NOSQL DATA MANAGEMENT

1. key value and document data models, distribution models

2. master-slave replication,consistency ***

3. Cassandra data model,examples , clients***

UNIT IV MAP REDUCE APPLICATIONS

1. MapReduce workflows , anatomy of MapReduce job run ,classic Map-reduce

2. YARN (full topic )***

3. job scheduling, shuffle and sort,task execution ***

UNIT III BASICS OF HADOOP

1. Analyzing data with Hadoop,Scaling out, streaming, pipes ***

2. Design of Hadoop distributed file system (HDFS) ****

3. HDFS concepts,Java interface, compression, serialization

4. file-based data structure ***,Hadoop integration

UNIT V HADOOP RELATED TOOLS

1. Hbase data model and implementations(rare )

2. Pigdata model, Latin ,developing and testing Pig Latin scripts.***may be part c

3. Hive_data types and file formats ***HiveQL data manipulation,queries.

PART-C

1.Compulsory Questions {a case study where the student will have to read and analyse the subject }

A. May be a sum so study all algorithm properly to get good scores

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