Telephone: 040-66664291/92
Mobile: +91 8801019295
  • image06
  • image01

    Apache Hadoop Development

    Offline & Online Training

  • image02

    Apache Hadoop Administration

    Offline & Online Training

  • image03

    Apache Big Data

    With R and HBase and Hive

Big Data Analytics Training

Big Data Analytics Training Information

Duration: 4 Weeks

What You will Learn
Unleash the power of Big Data!
Enhance big data analytics skills
Enrich analytic skills

Key Roles
Phases of Life cycle process
Key Deliverables to stakeholders


  • Application Developers
  • Business Analysts
  • BI / Data warehouse Developers
  • Technical Consultants
  • Enterprise Architects
  • Technical Project Managers


Suggested Prerequisites

Relational Database concepts, Data Warehousing concepts, RDMS, OLTP, OLAP, ROLAP, MOLAP, Star Schema, Facts, Dimensions etc.

Course Objectives

  • Explain the concepts of Big Data and related technologies
  • Understand What is Big Data
  • Big Data Market Big Picture
  • Big Data Tools
  • Big Data Reference Architectures
  • Big Data Solutions

Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue.
The primary goal of big data analytics is to help companies make better business decisions by enabling data scientists and other users to analyze huge volumes of transaction data as well as other data sources that may be left untapped by conventional business intelligence (BI) programs. These other data sources may include Web server logs and Internet clickstream data, social media activity reports, mobile-phone call detail records and information captured by sensors. Some people exclusively associate big data and big data analytics with unstructured data of that sort, but consulting firms like Gartner Inc. and Forrester Research Inc. also consider transactions and other structured data to be valid forms of big data.

For Detailed Course Contents Click here

For Upcoming Batches Click here

For Online Training Click here


Suzana Karnati I joined "MindQ" because of their proven expertise in Testing and Quality Assurance. Here, I learnt the Magic of Testing. The constant and personal interaction with the Trainer, Live Projects, Certification Training and Study material are the best part. The trainers are extremely proficient in their knowledge and understanding of the topics...More+

Chandrasekhar D (Camp Systems Pvt. Ltd)I learned QTP and Manual testing at MindQ & i learnt lots of things in both manual and automation. Now i am working as a TEAM LEAD on both automation and Manual. This entire credit goes to MindQ team. Even they are supporting the people after completion of course...More+

C. R. Reddy (Diebold Software Services) I Have joined on April 13th, 2011. I have taken training from MindQ &It was really a good platform where i full filled my ambition. MindQ has good environment for learning, effective training by real time resources and lab facility. Finally thanks to MindQ and Venkat sir...More+

VVS Janardhan It helped me grow from being an amateur to a professional, by making me understand the need of knowing things about testing. The complete understanding they provide during the course was really helpful and it stands apart from any help provided from online courses...More+

Mind Q
Online Training

Provide high quality and cost effective online training for the students worldwide with the best instructors...

Experts in rapid custom
development of web-based,
distributed and standalone


Providing excellent training
courses in demanding fields
Software Testing...

Our Clients

Corporate Address

8-3-214/7, 1st Floor,
Srinivasa Nagar Colony(W)
Above HDFC Bank, S.R.Nagar,

Telephone: 040-66664291/92/93
Mobile: +91 9502991277

Copyright © 2018 'Mind Q Systems' All Rights Reserved. Best view in 1024 x 768 resolution. :: Designed and Developed by MIND Q Team