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Big Data Analyst Online Training

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What you will get:

  • 50 Hrs Training
  • Recorded Sessions
  • Training Certificate
  • Learning Access
  • Experienced & Certified Consultant
$ 1775    $ 820

(Save $ 955)

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Training Schedule
Start Date End Date No. of Hrs Time (IST) Day  
21 Oct 2017 26 Nov 2017 50 07:00 PM - 11:00 PM Sat, Sun
28 Oct 2017 03 Dec 2017 50 07:00 PM - 11:00 PM Sat, Sun
04 Nov 2017 16 Dec 2017 50 07:00 PM - 11:00 PM Sat, Sun
11 Nov 2017 23 Dec 2017 50 07:00 PM - 11:00 PM Sat, Sun
28 Oct 2017 19 Nov 2017 24 06:00 PM - 09:00 PM Sat, Sun

Schedule does not suit you, contact us now!    |    Want to take one-on-one training, contact us now!

Course Overview

Multisoft Virtual Academy is offering the Big Data Analyst training, this course is for the Big Data professionals that helps them to enhance their vision on the implementation of the advanced Big Data technology effectively. This training is the combination of five data and analytics courses: Hadoop Data Analytics, Apache Spark, Apache Storm, MongoDB and Cassandra. This is the golden opportunity of the professionals looking to develop their insight on the above mentioned courses. The candidates willing to learn Big Data Analyst online will get data analytics using Pi and Hive and gain knowledge of Hadoop fundamentals that is helpful in knowing all about Hadoop architecture.

Focusing on the other Courses of data analytics, this combo course enlightens the candidates on how to process large amount of data using low latency. Moreover, it contains enlightenment on:

  • How the Spark performs at the speeds up to 100 times faster than Map Reduce for iterative algorithms or the interactive data mining.
  • How the Spark provides in-memory cluster computing for lightning speed and supports the languages such as: Java, Python, R, and Scala APIs for ease of development.

 While dealing with Apache Storm and MongoDB, the trainers help the candidates in understanding the fundamentals the apache storm and MongoDB and it can be implemented in analyzing any data. Understanding the MongoDB Production Architecture, the Storm Advanced Concepts, Importing and exporting of Data to and From MongoDB, etc.

Furthermore, the training provides in-depth insight on Managing Cassandra and adding nodes, operating system, the Conceptual data modeling, etc. are included in the fifth section of the training. Nevertheless, this training is a boon for the professionals willing to gain expertise on the data analytics.

Course Contents

Course ContentDetailed Course Topics

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

Target Audience

  • Analytics professionals
  • Data Scientists
  • IT developers and testers
  • Project Managers
  • Research professionals
  • The software developers, who indulge in processing large amounts of data

Certification

After completing Big Data Analyst training the candidates would gain a recognition as having an expertise in handling Big Data issues.

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