Big data tech conclave 2013 brochure (2)

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Core Techniques and Technologies for Advancing Big Data

26 & 27 April, 2013 Vivanta by Taj, Bangalore

Some of the Esteemed Global Leaders Invited for this Conclave
Dr. Vijay Srinivas Agneeswaran (Director of Technology) Impetus Technologies
Prof. Sharma Chakravarthy (Computer Science and Engineering Department) University of Texas
Mr. Arun Murthy (Founder & Architect) Hortonworks
Dr. Sergey Melnik (Member of Technical Staff) Google
Mr. Eric Evans's (Software Engineer) Acunu
Mr. Lee Feinberg (President) DecisionViz

www.bigdataconclave.com
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Tech Conclave Overview
Big data is no more a term associated with big enterprises and internet giants. Interest in this
space is growing rapidly, as many companies are keen to leverage their data and increase sales
and productivity. In India the market for Big Data was valued at $58.4 million in 2011 and with a
growth projection of 37.8% a year; the big data market is expected to grow to around $153.1
million in 2014. This is still a tiny fraction of the global big data pie, which is expected to grow
from $3.2 billion in 2010 to $16.9 billion in 2015.

Indian IT-BPO companies have the scope to strengthen their position in the global big data
market, but the key will be in quickly adopting new technologies, hiring the best talent and
building a revenue model, which can propel service providers to deliver quality big data
solutions in the global market space.

The tech conclave will feature presentations, case studies and key insights into to the latest
tools and technologies from some of the biggest tech gurus and leaders in the world of big data.
They’ve done the work themselves and have created the next gen solutions for big data. Learn
best practices and how to avoid pitfalls in using big data analytics technologies such as Hadoop,
MapReduce, Google spanner, Mongo, predictive modeling, social media analytics, in-database
processing, and more. If you want to be the next leader in providing cutting edge big data
solutions and services, then this is the forum to meet the today’s leaders in the big data space,
who will help you and your company reshape the future of big data.
Source for Big Data growth projection Courtesy: IDC

Who should attend?
(Project Managers) (IT Directors) (IT Managers)
(Database Architects) (Database Administrators)
(Test Lead) (Software Developers) (Software Architects)
(Data Scientists) (QA Managers) (Data Warehouse Managers)
(Data Warehouse Developers)

Don’t miss the big revolution in data


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Silver Sponsor

Media Partner

Event Partner

Conceptualized & Organized By


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Key Takeaways
Learn how to develop Big Data Technical Architecture Design Solutions
Implement and Analyze Big Data within your organization
How do you Manage Big Data IT Projects
Learn Testing Strategy for dealing with Big Data
Learn Big Data Related tools and techniques
Identifying talent pool required for Big Data within IT Deparement
Explore future Big Data technologies
Learn Big Data integration solutions
Understand Visualization and Interface of Big Data
Learn Machine Language algorithms
Learn Big Data Analytics and use it to take actionable steps that affect your customers’
needs.

Big Data in Today’s Business and Technology Environment
2.7 Zetabytes of data exist in the digital universe today.
235 Terabytes of data has been collected by the U.S. Library of Congress in April 2011.
The Obama administration is investing $200 million in big data research projects.
IDC Estimates that by 2020, business transactions on the internet- business-to-business and
business-to-consumer – will reach 450 billion per day.
Facebook stores, accesses, and analyzes 30+ Petabytes of user generated data.
Akamai analyzes 75 million events per day to better target advertisements.
94% of Hadoop users perform analytics on large volumes of data not possible before; 88%
analyze data in greater detail; while 82% can now retain more of their data.
Walmart handles more than 1 million customer transactions every hour, which is imported
into databases estimated to contain more than 2.5 petabytes of data.
More than 5 billion people are calling, texting, tweeting and browsing on mobile phones
worldwide.
Decoding the human genome originally took 10 years to process; now it can be achieved in
one week.
In 2008, Google was processing 20,000 terabytes of data (20 petabytes) a day.
The largest AT&T database boasts titles including the largest volume of data in one unique
database (312 terabytes) and the second largest number of rows in a unique database (1.9
trillion), which comprises AT&T’s extensive calling records.
Source: http://wikibon.org/blog/big-data-statistics/


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9:00am Understanding The Overall Big Data Architecture – Discuss Solutions And Design Patterns
For A Better Storage And Processing Of Big Data
Speaker:

9:30am Big Data Analytics Using Hadoop And Map/Reduce

Speaker: Mr. Arun Murthy (Founder & Architect) Hortonworks - California

10:15am Introduction To Big Query For Big Data And Dremel Analytics

Speaker: Dr. Sergey Melnik (Member of Technical Staff) Google - California
11:00am Morning Refreshment Break

11:30am Introduction To Machine Learning On Big Data

Speaker: Dr.Vijay Srinivas Agneeswaran (Director of Technology) Impetus Technologies - India

12:15pm Using Cassandra In Bigdata Implementation

Speaker: Mr. Eric Evans's (Software Engineer) Acunu - California
1:00pm Networking Lunch

2:00pm Introduction To Hive And How It Is Used In Big Data Projects

Speaker:

2:45pm Getting Started With Apache Hbase

Speaker:
3:30pm Evening Refreshment Break

4:00pm Understand And Learn Graph Database For Big Data – Discuss Various Tools Used

Speaker:

4:45pm Panel Discussion: Big Data Talent Management - Identifying Big Data Talent Pool For
Information Technology And The Role Of Data Scientist Within Your IT Department
Moderator:

Panelist:


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9:30am Introduction to Sematic technologies in Big Data and Graph Mining

Speaker: Prof. Sharma Chakravarthy (Computer Science and Engineering Department) The University of Texas

10:00am Challenges Of Big Data Integration And Solutions For Successful Data Integration

Speaker:

10:45am Overview Of Hadoop Distributed File System (HDFS)

Speaker: Facebook
11:30am Morning Refreshment Break

12:00pm Building Big Data Interface And Visualization
d Visualization
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Speaker: Mr. Lee Feinberg (President) DecisionViz - New York
New York

12:45pm Agile Framework For Managing Big Data Projects
ng Big Data Projects
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Speaker:
1:30pm Networking Lunch

2:30pm Testing Big Data Implementation
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Speaker:

3:15pm Introducing Druid Real Time Analytics Data Store
nalytics Data Store

Speaker:
4:00pm Evening Refreshment Break

4:30pm Panel Discussion: Big Data Future Trends - Discuss Upcoming Techniques And Technologies
ture Upcoming Techniques And Technologies
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For BIG Data
Moderator:

Panelist:

5:30pm Close of Conference
Close of Conference
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Source: http://wikibon.org/blog/big-data-infographics/


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Big data tech conclave 2013 brochure (2)

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