1. Hadoop Data Analytics
- Introduction
- Hadoop Fundamentals
- Introduction to Pig
- Basic Data Analysis with Pig
- Processing Complex Data with Pig
- Multi-Dataset Operations with Pig
- Extending Pig
- Pig Troubleshooting and Optimization
- Introduction to Hive
- Relational Data Analysis with Hive
- Hive Data Management
- Text Processing with Hive
- Hive Optimization
- Extending Hive
- Introduction to Impala
- Analyzing Data with Impala
- Choosing the Best Tool for the Job
2. Apache Spark
- An Introduction to Spark
- About Resilient Distributed Dataset and DataFrames
- The Spark application programming
- An Introduction to Spark libraries
- About Spark configuration, monitoring and tuning
3. Apache Storm
- Big Data Overview
- Introduction to Storm
- Installation and Configuration
- Storm Advanced Concepts
- Storm Interfaces
- Storm Trident
4. MongoDB
- Design Goals, Architecture and Installation
- CRUD Operations
- Schema Design and Data Modelling
- Administration
- Scalability and Availability
- Indexing and Aggregation Framework
- Application Engineering and MongoDB Tools
- Project, Additional Concepts and Case Studies
5. Cassandra
- Introduction to Cassandra Enterprise
- Cassandra Enterprise Operations and Performance Tuning
- Cassandra Enterprise Search with Apache Solr
- Cassandra Core Concepts
- Data Modeling with Cassandra Enterprise
- Cassandra Enterprise Analytics with Apache Spark
Note: to know about the detailed information about the course modules please feel free to write us or give us a buzz.