Big Data Applications
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Follow on Instagram for UpdatesBig Data Applications Syllabus — Unit-wise Content
The official GTU curriculum for Big Data Applications (subject code 3735503) as prescribed for CE(P · Semester 3 divides the course into 4 units, covering 37 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 (3735503)Unit 1 Introduction of Apache Sqoop, Apache Oozie, Apache Crunch, Apache
- Apache Avro
- Identifying and Collecting Input Data
- Selecting Tools for Data Processing and Analysis
- Presenting Results to the User
- Defining and Using Data Sets
- Metadata Management
- Selecting a File Format
- Performance Considerations
- Fundamental Data Module Concepts Loading
- Accessing, and Deleting a Data
Unit 2 Managing Workflows with Apache Oozie, Defining an Oozie Workflow,
- Packaging, and Deployment
- Running and Tracking Workflows Using the CLI Hue UI for Oozie
- Processing Data Pipelines
- with Apache Crunch
- Understanding the Crunch Pipeline
- Comparing Crunch to Java Map Reduce Working with Crunch Projects
- Reading and Writing Data in Crunch
- Data Collection API, Functions
- Utility Classes in the Crunch API, Working with Tables in Apache Hive What is Apache Hive?
- Accessing Hive
- Basic Query Syntax
- Creating and Populating Hive Tables
- How Hive Reads Data
- Using the Regex in Hive
Unit 3 Designing and Building Big Data Applications, Developing User-Defined
- What are User-Defined Functions?
- Implementing a User-Defined Function
- Deploying Custom Libraries in Hive
- Registering a User-Defined Function in Hive Executing Interactive Queries with Impala
- What is Impala?
- Comparing Hive to Impala
- Running Queries in Impala
- Support for User- Defined Functions
- Data and Metadata Management
Unit 4 What is Apache Solr Search?, Understanding Apache Solr Search,
- Search Architecture
- Supported Document Formats
- Indexing Data with Apache Solr Search
- Collection and Schema Management
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