Big data tech conclave 2013 brochure (2)

2013

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BIG DATA Core Techniques and Technologies for Advancing Big Data

26 & 27 April, 2013 Vivanta by Taj, Bangalore

www.bbiggddaataacconncclaave.com

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

26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnncccccccccllllllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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BIG DATA 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 agrowth 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 growfrom $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 andbuilding a revenue model, which can propel service providers to deliver quality big datasolutions 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. Learnbest 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-databaseprocessing, 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

26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnnccccccccclllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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BIG DATA

Silver Sponsor

Media Partner

Event Partner

Conceptualized & Organized By

26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnncccccccccllllllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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BIG DATA 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/

9:30am

26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnnccccccccclllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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Understanding The Overall Big Data Architecture – Discuss Solutions And Design Patterns For A Better Storage And Processing Of Big Data

Big Data Analytics Using Hadoop And Map/Reduce

Introduction To Big Query For Big Data And Dremel Analytics

Morning Refreshment Break

Introduction To Machine Learning On Big Data

Using Cassandra In Bigdata Implementation

Networking Lunch

Introduction To Hive And How It Is Used In Big Data Projects

Getting Started With Apache Hbase

Evening Refreshment Break

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

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Speaker:

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

Speaker: Dr. Sergey Melnik (Member of Technical Staff) Google - California

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

Speaker: Mr. Eric Evans's (Software Engineer) Acunu - California

Speaker:

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 DepartmentModerator:

Panelist:

10:00am

26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnnccccccccclllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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Introduction to Sematic technologies in Big Data and Graph Mining

Challenges Of Big Data Integration And Solutions For Successful Data Integration

Overview Of Hadoop Distributed File System (HDFS)

Morning Refreshment Break

Building Big Data Interface And Visualization

Agile Framework For Managing Big Data Projects

Networking Lunch

Testing Big Data Implementation

Introducing Druid Real Time Analytics Data Store

Evening Refreshment Break

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

Panelist:

5:30pm Close of Conference

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

Speaker:

Speaker: Facebook

Speaker: Mr. Lee Feinberg (President) DecisionViz - New York

Speaker:

Speaker:

Speaker:

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26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnncccccccccllllllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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Source: http://wikibon.org/blog/big-data-infographics/

26 & 27 April, 2013 Vivanta by Taj, Bangalorewwwwwwwwwwwwwwwwwwwwwwwww..bbbbbbbbbiiiiiggggggggggggdddddddddaaaaaaaattttttttaaaaaaaaccccccccooooooonnnnnnnnnccccccccclllaaaaaaavvvvvveeeeeee...cccccccooooooooommmmmmmmm

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