Big Data Analytics
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Big Data Analytics Syllabus — Unit-wise Content
The official GTU curriculum for Big Data Analytics (subject code 2180710) as prescribed for Computer Engineering · Semester 8 divides the course into 4 units, covering 25 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2180710)Unit 1 INTRODUCTION TO BIG DATA
- Introduction– distributed file system–Big Data and its importance
- Four Vs, Drivers for Big data
- Big data analytics
- Big data applications
- Algorithms using map reduce
Unit 2 INTRODUCTION TO HADOOP AND HADOOP
- ARCHITECTURE Big Data – Apache Hadoop & Hadoop EcoSystem
- Moving Data in and out of Hadoop – Understanding inputs and outputs of MapReduce -
- Data Serialization
Unit 3 HDFS, HIVE AND HIVEQL, HBASE
- Installation and Shell
- Java API
- Hive Architecture and Installation
- Comparison with Traditional Database
- HiveQL Querying Data
- Sorting And Aggregating
- Map Reduce Scripts
- Joins & Sub queries
- HBase concepts
- Advanced Usage
- Schema Design
- Advance Indexing, PIG, Zookeeper
- how it helps in monitoring a cluster
- HBase uses Zookeeper and how to Build Applications with Zookeeper
Unit 4 SPARK
- Introduction to Data Analysis with Spark
- Downloading Spark and Getting Started
- Programming with RDDs
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