Big Data Hadoop Architect Online Training

1. Big Data Hadoop

• 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

2. Apache Spark & Scala

• Introduction to Spark
• Introduction to Programming in Scala
• Using RDD for Creating Applications in Spark
• Running SQL Queries Using Spark SQL
• Spark Streaming
• Spark ML Programming
• Spark GraphX Programming

3. MongoDB Developer And Administrator

• An Overview of the Course
• MongoDB A Database for the Modern Web
• CRUD Operations in MongoDB
• Indexing and Aggregation
• Replication and Sharding
• Developing Java and Node JS Application with MongoDB
• Administration of MongoDB Cluster Operations

4. Apache 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

5. Impala Training

• An Introduction to Impala
• Querying with Hive and Impala
• Data Storage and File Format
• Working with the Impala

6. Apache Kafka

• Big Data Overview
• An Introduction to the Zookeeper
• Introduction to the Kafka
• About Installation and Configuration
• About the Kafka Interfaces

7. Apache Storm

• Overview of Big Data
• Introduction to Storm
• Installation and Configuration
• Storm Advanced Concepts
• Storm Interfaces
• Storm Trident

• Data Architects
• Data Integration Architects
• Decision Makers
• Hadoop Administrators and Developers
• Data scientists
• Research professionals
• Analytics professionals
• SQL developers
• Database administrators and developers
• IT developers and testers
• The IT Developers, Testers, Analytics professionals, research professionals, and the Project Managers
• The Students willing to make their career in the big data field