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2nd Annual Global Big Data Conference Santa Clara September 2014

Global Big Data Conference

Monday, September 8, 2014 at 8:00 AM - Wednesday, September 10, 2014 at 7:00 PM (EDT)

Ticket Information

Ticket Type Sales End Price Fee Quantity
Global Big Data Conference Santa Clara- 3 Days Ended $1,499.00 $0.00
Global Big Data Conference Santa Clara- 2 Days Ended $1,099.00 $0.00
Global Big Data Conference Santa Clara- 1 Day Ended $799.00 $0.00

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Event Details

Annual Global Big Data Conference, the leading vendor agnostic conference for the Big Data (Hadoop, NoSQL, Data Dcience & Machine Learning) community, is now announcing its second annual event (Sep 8-Sep 10 2014).

The 2nd Annual Global Big Data Conference is expanded to three days based on feedback from participants. The event will feature many of the Big Data thought leaders from the industry. Annual Global Big Data Conference is an event acclaimed for its highly interactive sessions.High-level speakers will showcase successful use cases, share development and administration tips, and educate organizations about how best to leverage Big Data as a key component in their enterprise data architecture. It will also be an excellent networking event for Executives( CXO's, VP, Directors), Managers, developers, architects, administrators, data analysts, data scientists and vendors interested in advancing, extending or implementing  Big Data.

Managing Big Data has become a major competitive advantage for many organizations and hence maintaining a proper analytics platform is vital for an organization's survival. This conference provides insights and potential solutions to address Big Data issues from well known experts and thought leaders through panel sessions and open Q&A sessions.

What you will learn
You'll get up to speed on emerging techniques and technologies by analyzing case studies, develop new technical skills through in-depth workshop, share emerging best practices in big data (hadoop, nosql, data science & Machine learning ), and  future trends.  The depth and breadth of what's covered at the 2nd annual Global conference requires multiple tracks.  You can either follow one track from beginning to end or pick the individual sessions that most interest you.

1. Hadoop & Beyond
2. NoSQL
3. Data Science & Machine Learning
4. Industry Vertical Use Cases
5. Workshops

Conference Highlights

  • 500+ attendees
  • 75+ Speakers
  • 50+ Sessions
  • Great Networking opportunity

Speakers:
http://globalbigdataconference.com/37/santa-clara/2nd-annual-global-big-data-conference/speakers.html

Agenda:
http://globalbigdataconference.com/37/santa-clara/2nd-annual-global-big-data-conference/schedule.html

Refund Policy
No refunds will be given for cancellations

If you have any questions concerning 2nd Annual Global Big Data Conference, please do not hesitate to contact events@globalbigdataconference.com or Call 408-400-3769

Confirmed Speaker List:

Big Data in High Tech Industry:

  • Steve Phillpott(CIO & CTO, Western Digital): Managing manufacturing Big Data in the Cloud(Amazon)


Hadoop & Beyond:

  • Nanda Kumar Jayakumar( Principal Architect, Yahoo): Managing big data applications at web-scale - the Yahoo perspective
  • Claudiu Barbura(Director Engineering, Atigeo): Spark, Shark, Mesos, Tachyon, Cassandra at scale.
  • Chris fregly(Founder,Flux Capacitor): Spark Streaming
  • Bikas Saha(Software Engineer, Hortonworks) : Apache Tez
  • Daniel Templeton(Software Engineer, Cloudera): Common pitfalls in developing MapReduce applications and how to avoid them
  • Haoyuan Li(PhD,UC Berkeley): Tachyon: A Reliable Memory Centric Storage for Big Data Analytics
  • Xuan Gong(Software Engineer, Hortonworks): Highly Available resource management for YARN
  • Sameer Agarwal(Software Engineer, Datbricks): Faster and Smarter Big Data Analysis with BlinkDB, MLbase, GraphX, and Tachyon: New Components of the Berkeley Data Analytics Stack (BDAS)

Data Science Track:

  • Vadim Kutsyy(Data Scientist, Ebay): Data Science Empowering Personalization Leverage data to enable personalization, create targeted growth and drive business results
  • Paul Hofmann(CTO, Saffron Technology): New Developments in Scalable Machine Learning
  • Sheridan hitchens(VP or products, Auction): Lifetime Value and analytics
  • Karthik Kannan(Founder, Caspida): Using Hadoop and Machine Learning to Detect Security Risks and Vulnerabilities, and Predict Breaches in your Enterprise Environment
  • John Funge(CTO,Knack): Predictive Human Analytics
  • Mario Vinasco(Data Scientist, Facebook) :  Advanced Visualization using Big Data Platforms
  • Connor Johnson(Data Scientist, Halliburton): Machine Learning with Open Source Tools

NoSQL Track

  • Alex Peake(Big Data Architect, Twitter): Modeling for Big Data in a NoSQL Store
  • Russell Spitzer(Test Engineering, Datastax): Integrating Apache Cassandra and Apache Spark
  • Steve Jones(Director, Capgemini): Why the business needs more than just a warehouse
  • Mohammed Guller( Big Data Architect,Glassbeam):  Internet of Complex Things Analytics with Cassandra
  • Jnan R. Dash(Sr Advisor, MongoDB): Are NoSQL Products Ready for the Enterprise? Examples of MongoDB Deployment.
  • Eddie Satterly(CTO, Infochimps) : Selecting the Right Big Data Tool for the Right Job, and Making It Work for You
  • Alvaro Agea(Big Data Architect, Stratio) META: An Efficient Distributed Data Hub with Batch and Streaming Query Capabilities

Startups Pitch:

  • Sanjit Dang(Investment Director, Intel): What VCs Look for in Big Data Startups
  • Abhishek Sud(Principal Investor, Centerview Capital): VC Panel Discussion

Workshop:

  • Ashish Dubey(Solution Architect, Qubole): Hive Workshop
  • Sridhar Reddy(Director, Mapr): Hbase Workshop
  • Mohammed Guller(Big Data Architect, Glassbeam) : Spark & Shark Workshop
  • Peter Wang(Founder,Continuum Analytics) : PyData
  • Shawn Scully(Director, Graphlab): Becoming a Scalable Data Scientist

Big Data in Industry:

Big Data in Finance:

  • Kaushal Kurapati(VP of Products, Mastercard) : Card linked offers, Targeting, Personalization, Spend profiles.

Big Data in Retail & E-Commerce:

  • Edward Mabanglo(Principal, Nordstrom): Time-to-Event Modeling of Nordstrom Returns
  • Kiran Gange(CEO,  Custologix) : Big Data in Retail Analytics/ Entrepreneurship
  • Aparna Pujar(Director, Ebay): Behavior Data at eBay
  • Mark Wang( Chief Data Scientist,Chegg):  Big Data Analytics for Insights and Business Growth
  • Daqing Zhao(Dir Advanced Analytics, Macys): How Macy's Use Advanced Analytics and Big Data to Improve Omni-channel Customer Experience
  • Dustin Lehr(Software Engineer, Staples): Transforming Raw Data into Relevant Analytics

Big Data in Insurance:

  • Ajay Bhargava( Big Data Director, TCS): A Dozen Ways Insurers Can Leverage Big Data for Business Value

Big Data in Energy:

  • Emmett Soldati(VP,Weather Analytics): Revolutionizing Weather Intelligence
  • Anant Venkateswaran(Director, Wipro): Big Data Applications and Use Cases in the Utility Industry
  • Dr. Satyam Priyadarshy(Chief Data Scientist, Halliburton) : Big Data in Oil & Gas

Big Data in Government:

  • Jeanne Holm( Chief Big Data Evangelist, Data.Gov): Innovating with Open Data

Big Data in Healthcare:

  • Tom Plunkett(Big Data Architect, Oracle): National Cancer Institute Case Study: Using Big Data to Analyze Cancer-Genome Relationships

Big Data in Social Media:

  • Vitaly Gordon(Data Scientist, Linkedin) : How LinkedIn Leveraged its Data to Become the World's Largest Professional Network
  • Michael li(Director,Linkedin) :  How Business Analytics Drives Insights and Makes Business Impact – Two Examples
  • Anurag Kapoor( Sr. Program Manager, Linkedin): How Business Analytics Drives Insights and Makes Business Impact – Two Examples
  • Debora Donato(Principal Data Scientist, Stumbleupon):  Data Science Use Cases at StumbleUpon

Big Data in Telecom:

  • Brandon Purcell(Data Science Team Lead,Beyond the Arc) : Spotting the Wisdom in the Noise: Unlocking Data Analytics to Identify and Prevent Consumer Concerns

Big Data in Aerospace:

  • Ahmad Yaghoobi(Technical Fellow, Advanced Analytics, Boeing): Analytics and Data Visualization at Boeing - Application of Analytics (e.g., Visual, Text, Predictive) to Industry Problems and Challenges
Have questions about 2nd Annual Global Big Data Conference Santa Clara September 2014? Contact Global Big Data Conference

When & Where


Santa Clara Convention Center
5001 Great America Parkway
Santa Clara, CA 95054

Monday, September 8, 2014 at 8:00 AM - Wednesday, September 10, 2014 at 7:00 PM (EDT)


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Organizer

Global Big Data Conference

Big Data Bootcamp

Contact Tel: 408-400-3769

email: events@globalbigdataconference.com


Website: http://globalbigdataconference.com

  Contact the Organizer

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