5 Day Big Data Analytics Workshop

Big Data has become ubiquitous in modern society, but drawing insights from it remains a challenge due to its unprecedented degrees of heterogeneity, often compounded by inadequate experimental design. The past decade has seen considerable developments with big data algorithms, but significant challenges remain for the area’s theoretical underpinning.

A 5 day big data analytics workshop covering Hadoop Ecosystem, MapReduce, Big Data stacks Hortonworks and Cloudera. The workshop also covers various tools and techniques on Big Data.

The aim of this workshop is to gather theory and methodology on big data. Explore new algorithms, but also develop theoretical understanding as to the analysis techniques that are optimal or preferable in different sampling scenarios. The workshop will feature on hands-on sessions on Big Data stacks and research directions brainstorming.

Venue Requirement:

Laptop Computer
Fair Internet Connection for Demonstrations
Mic/Speakers (if audience is large)

Hands-on Sessions requirement:

For Speaker: Laptop with

RAM               : 8 GB
Processor       : i5 or i7 or Higher
OS                   : Windows
Tools               : Virtual Box

 For participants:

RAM               : 4 GB
Processor       : i5 or i7 or Higher
OS                   : Windows
Tools               : Virtual Box

Note: All machines should be under LAN enabled environment for sharing resources


Get answers to fundamental questions such as: What is Big Data? How do we tackle Big Data? Why are we interested in it? What is a Big Data platform?  Gain insights on how to run better businesses and provide better service to customers.  Get recommendations on how to process big data on platforms that can handle the variety, velocity, and volume of data by using a family of components that require integration and data governance. Usage of Big Data stacks for Big Data Analytics.

 Day 1:

Introduction to Big Data: Interactive Session
How BIG is Big Data?
Big Data Fundamentals
Generating Big Data
Why traditional Data Tools fail

 Day 2:

Hadoop Eco System
Importance of MapReduce
Hands-on for creating and running MapReduce

Day 3:

Exploring HortonWorks Stack
Running HortonWorks on Windows in Virtual Mode
Running Analytics on Sample Data


Exploring CloudEra Stack
Running MapReduce samples
Hands-on Tools and Techniques
Visualization using inbuilt tools

Day 5:

Big Data and IoT
Big Data Opportunities and Challenges.
Tools for research
Open Data Sets for Research
Techniques and Environments for Big Data Analysis


Running Live Hadoop Clusters on Amazon. Require a day to be demonstrated.

About Facilitator:

Praveen Hanchinal is co-founder of INWHIZZ IT Innovations (formerly known as INSPIRE-groups). He is recognized as Cloud, Big Data Evangelist, Tech Coach and motivational speaker. Trained around 7500+ people which include teachers, students, industry on recent technologies. He is known for his keeping things simple, his wit and humor in his talks. He is available for conducting workshop for students, faculty, industry and general audiences.

In Nutshell: Speaker, Edupreneur, FOSS, Cloud, Big Data and IoT Evangelist
More about Praveen at: pravinhanchinal.com
Note: This is a tentative schedule. Can be customized as per needs.

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