Big Data Hadoop Architect Training

• Understand the fundamentals of the Trident extension to Apache Storm
• Differentiate between Hadoop and Apache Spark and their relative usage
• Define the Scala Classes concepts, Spark RDD and Scala Algorithms
• Describe the complete flow of a SQL query execution in the Impala
• Describe the Query data using impala SQL
• Gain thorough understanding of Grouping & Data Insertion in Apache Storm
• Explain the fundamentals of Apache Hadoop, Data ETL (extract,  transform,  load), data processing using Hadoop tools
• How to implement the skills Replication and Sharding of data in MongoDB to optimize read / write performance
• How to develop the skill sets that help in processing a huge amount of data by using MongoDB tools
• Describe Replication and Sharding of data in MongoDB to optimize read / write performance
• Perform data management and text processing using Hive as well as data analysis and processing complex data using Pig
• Describe the complete flow of a SQL query execution in the Impala

• 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

1. Big Data Hadoop And Spark Developer

An Introduction to Spark - Getting started

• 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
• Apache Spark
  • About Resilient Distributed Dataset and DataFrames
  • The Spark application programming
  • An Introduction to Spark libraries
  • AboutSpark configuration, monitoring and tuning

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

Note: to know about the detailed information about the course modules please feel free to write us or give us a buzz.