Big Data Hadoop Architect Training

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Big Data Hadoop Architect training is for the professionals, willing to enhance their skill in handling the database of any enterprise. The candidates would get the chance to have an encounter with the architecture of Big Data Hadoop And Spark Developer, Apache Spark & Scala, MongoDB Developer And Administrator,  Apache Cassandra, Impala Training, Apache Kafka, Apache Storm.

 

In this training, the trainers help the candidates to understand  the fundamentals of Data Analysis with Pig, the Processing with Hive, the Spark application programming, how to develop Java and Node JS Application with MongoDB,  the Storm Advanced Concepts and a lot more through which helps the candidates to grow as a Big Data Hadoop Architect.

After the completion of Big Data Hadoop Architect Course, the candidates would be able to:

  • 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
Target audience
  • 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
Prerequisites

The candidates should be aware of the basics Knowledge of programming language and Hadoop component along with SQL, LINUX commands.

Big Data Hadoop Architect training is for the professionals, willing to enhance their skill in handling the database of any enterprise. The candidates would get the chance to have an encounter with the architecture of Big Data Hadoop And Spark Developer, Apache Spark & Scala, MongoDB Developer And Administrator,  Apache Cassandra, Impala Training, Apache Kafka, Apache Storm.

 

In this training, the trainers help the candidates to understand  the fundamentals of Data Analysis with Pig, the Processing with Hive, the Spark application programming, how to develop Java and Node JS Application with MongoDB,  the Storm Advanced Concepts and a lot more through which helps the candidates to grow as a Big Data Hadoop Architect.

After the completion of Big Data Hadoop Architect Course, the candidates would be able to:

  • 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
Target audience
  • 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
Prerequisites

The candidates should be aware of the basics Knowledge of programming language and Hadoop component along with SQL, LINUX commands.

Big Data Hadoop Architect Training Course Content

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.

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