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3rd Annual Global Big Data Conference

Sep-01 to Sep-03 2015
Santa Clara
3rd Annual Global Big Data Conference

Suggest Topics / Workshop OverviewOverview

Global Big Data Conference, the leading vendor agnostic conference for the Big Data (Hadoop, Apache Spark, IoT, Security, NoSQL, Data Science & Predictive Analytics) community, is now announcing its third annual event (Sep 1 - Sep 3 2015).

The 3rd Annual Global Big Data Conference is extended 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. Speakers will showcase successful industry vertical 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, statisticians 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, Spark, IoT, Security, NoSL, Data Science & Predictive Analytics ), and  future trends.  The depth and breadth of what's covered at the 3rd 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. Industry Vertical Use Cases
2. Hadoop & Beyond
3. Spark & Beyond
4. Data Science & Predictive Analytics
5. IoT
6. Security
7. Workshops

Conference Location
Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara, CA 95054 (map)

Conference Highlights

  • 500+ attendees
  • 60+ Speakers
  • 50+ Sessions
  • Keynote Sessions
  • Startup Pitch
  • Great Networking opportunity

Refund Policy

No refunds will be given for cancellations

Attendee Companies

  • 110 Consulting
  • 0Xdata
  • 21CT
  • Accenture
  • ACI Worldwide
  • Adobe 
  • Advantage 2000 Inc
  • Agero
  • Agilent
  • AlixPartners LLP
  • Altamira Technologies Corporation
  • Altera Corporation
  • Altoros
  • AM Solutions
  • Amatra
  • Amazon
  • American Academy Of Physician Assistants
  • American Express
  • Analytics Automata
  • Ancestry.Com
  • AOL
  • Apple
  • Aricent
  • Armanino
  • Arris
  • Assia Inc
  • AT&T
  • Athena
  • Atscale
  • Auction.Com
  • AustinCSI
  • Ayasdi
  • Badgeville
  • BancVue
  • Bank of America
  • Bank of Tokyo
  • Battery Ventures
  • Bayessoft
  • Beats Electronics
  • Big Data Architects
  • Blacklight Solutions
  • Bloomberg
  • Blue Cross Blue Shield
  • BlueTalon
  • Bose
  • Brierley + Partners
  • British Petroleum
  • BROADCOM
  • C.A.P
  • CA Technologies
  • Calpont
  • Calxeda
  • Canon
  • Capital One
  • Capitol Information Group
  • Caspida
  • Center for Naval Analyses
  • Centrify Corp
  • Cequint
  • CGG
  • Charles Schwab
  • Chevron
  • ChinaLink Professional Services
  • CiberOC
  • Cisco Systems
  • CISCO-WEBEX
  • Citigroup
  • Citrix Systems
  • Clarity Solution Group
  • Clerysys Inc
  • Click Security
  • Cloudera
  • CloudGenix
  • CNCS
  • Cobalt Talon
  • Cognizant
  • Comcast
  • CompuMatrice
  • Conifer Health Solutions
  • Context Business Intelligence Ltd.
  • Continuum Analytics
  • Corpus
  • Costco
  • Couchbase
  • Cray
  • Credera
  • CSC
  • CTS
  • Data Community DC
  • Data Paradigm
  • DataStax
  • Declara
  • Dejalytics
  • Dell
  • Deloitte
  • Delta Dental
  • Dick's Sporting Goods
  • Digital Matrix Systems
  • Double Check Consulting
  • Double Line Partners
  • DST Systems
  • eBay
  • EcubeInfo
  • Edgespring
  • Elephant Scale
  • EMC
  • Emulex
  • ePOSa
  • Epsilon
  • Ericsson
  • Ex Google & CEO Stealth
  • Exxon Mobil
  • Facebook
  • Fannie Mae
  • Farmers Insurance
  • FedEx
  • FI Consulting
  • Fiserv
  • Flux Capacitor
  • Fordham University
  • Wrigley
  • Foundationdb
  • Foursquare
  • Franklin Templeton
  • Franklin Templeton Investments
  • Fremont Bank
  • Frontline Systems
  • Fujitsu
  • Fulcrum Technologies
  • Futurewei Technologies
  • Gainsight
  • GAP
  • Gazzang
  • GE
  • Genentech
  • genomic health
  • Gild
  • Gild inc.
  • Globalscape
  • Gooddata
  • Google
  • Grainger
  • Graphistry
  • Gravitant
  • Groupon
  • Guavus
  • Halliburton
  • Harman International
  • HCL
  • Hewlett Packard
  • Hitachi Consulting
  • Hive Technologies
  • Hood College
  • Hortonworks
  • Host Analytics Software
  • HP Enterprise Services
  • Huawei
  • IBM
  • Idea Cellular Limited
  • iDirect
  • IGT
  • IHS
  • Image in Asian Television
  • Impetus
  • Impetus Technologies
  • Infochimps
  • Infoobjects
  • Infoq
  • Informagix
  • Informatica
  • Informatica
  • Infosys
  • Innovative Element
  • Inome
  • InRhythm
  • Intel
  • Intersys Consulting
  • Intuit
  • IVY Comptech
  • Jaspersoft
  • JDSU
  • JNTU Kakinada
  • John Wiley & Sons
  • Juniper Networks
  • Kaiser Permanente
  • KPI Partners
  • KPMG
  • LARC Technologies
  • Lawrence Livermore National Laboratory
  • Levi
  • Lexisnexis Risk Solutions
  • LinkedIn
  • Liveoak Venture Partners
  • Lord Abbett
  • Luminex
  • Lyris
  • macys.com
  • Madison Performance Group
  • Mantis Technology Group
  • Mapr Technologies
  • MarginXL Advisors
  • MarkLogic
  • MasterCard
  • Mathworks
  • Mavenir Systems
  • Maxim Integrated
  • Mckesson
  • McKinsey
  • Mckinsey Solutions
  • Media Matters for America
  • Merck
  • MetaScale
  • MetiStream
  • michaeljfox.org
  • Microsoft
  • Mondee
  • MongoDB
  • Monitise
  • Morgan Stanley
  • Motivitylabs
  • Mycityway
  • MYCO
  • Nasotech
  • National Institute of Technology Warangal
  • NBR
  • NEC
  • Neiman Marcus
  • NetApp
  • Netflix
  • Neustar
  • NICUSA
  • Nisum Technologies
  • Noah Consulting
  • Nokia
  • Novartis Healthcare
  • NRIT
  • Objectivity
  • OCWEN Financial Solutions
  • One Technologies
  • OneWest Bank
  • Opentable
  • Oracle
  • Orbitz Worldwide
  • Overlake Hospital Medical Center
  • Parabellum
  • Parstream
  • Paymark
  • PayPal
  • Peerless Network
  • PGC
  • PlainText Systems
  • Planon
  • Prime soft solutions
  • PrintPlace.com
  • Professional Nosql
  • PWC
  • Q1 Technologies
  • Q2
  • Qburst Technologies
  • Qualcomm
  • Qubole
  • RAC
  • Rackspace
  • Ramyam Intelligence
  • Redbasin Networks
  • Responsys
  • Revolution Analytics
  • Riyad Bank
  • Riverbed
  • RMS
  • RNSolutions
  • Rockwell Collins
  • Sabre Holdings
  • Saffron Technology
  • Sage
  • Sageit
  • Salesforce
  • Samsung
  • Sandia
  • SAP
  • SAS Institute
  • SCEA
  • ScientiaMobile
  • Scispike
  • SE Solutions
  • Sears
  • Sejong University
  • Sense Corp
  • Servergy
  • ServiceMesh
  • Siemens
  • Sigmoid Analytics
  • Silicon Valley Bank
  • Sirius XM
  • Sirqulate
  • Sisense
  • Skype
  • Soft10
  • Southwest Airlines
  • Sony
  • SparkCognition
  • Splunk
  • Stryker
  • Stubhub
  • Sungard Consulting Services
  • Suning
  • Supremesoft
  • Supremesoft Corporation
  • SV Systems
  • Swatcloud
  • Symantec
  • System Managers
  • Tata Consultancy Services
  • TCS
  • Tech Mahindra
  • Tech Vedika Software
  • Techfetch
  • Tekcomms
  • Telarix
  • Teradata
  • Tesora Inc
  • Tessera Global Services Inc
  • TG
  • The ELP GROUP
  • The Hartford
  • The LIVESTRONG Foundation
  • The Smart Cube
  • themix.org
  • Thermofisher Scientific
  • Think Big Analytics
  • Thomson Reuters
  • Tibco
  • Tiger Analytics
  • Tivo
  • Toshiba
  • Toyota
  • TPVISION India
  • Trifacta
  • Trulia
  • Twitter
  • UBS
  • UC Merced
  • Ultimate Software
  • United Healthcare
  • University of Pennsylvania
  • UNT Health Science Center
  • UPS
  • USU
  • UT Health Science Ctr
  • UXC Eclipse
  • Varian Medical
  • Veritis Group
  • Verizon
  • Versa Shore
  • VG Software Consultancy
  • Visa
  • VMSoft
  • VMWare
  • VRH Consutling
  • W2O Digital
  • W2O Group
  • Walmart
  • Walt Disney
  • Wavelength Market Analytics
  • Weather Analytics
  • Wells Fargo
  • Wheel Innovationz
  • White Sky
  • Wipro
  • Workday
  • Xebia
  • XO
  • Yahoo
  • Yarcdata
  • YASH Technologies
  • Zenoss Inc
  • Zensar Technologies
  • Zettaset
  • Zigron
  • Zynga

OverviewAgenda

  • Keynote 
  • IVUC -- Industry Vertical Use Cases
  • HS -- Hadoop, Spark, Security & Beyond
  • DSPA -- Data Science & Predictive Analytics
  • IoT-- IoT
  • Workshop

Day -1 ( Sep 1 8:00AM- 8:00PM )

Industry Vertical Use Cases Track - Great America Meeting Room 1

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote : Using Big Data to Track Millions of HDDs and Predictively Create Better Customer Service (Steve Phillpott, CIO,  HGST, a Western Digital Company
9:40 AM - 10:20AM Personalized Card linked offers: Unlocking the value behind transactions with data science (Kaushal Kurapati, Vice President of Products, MasterCard)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Big Data in Travel - Real-time Analytics with Kafka, Spark, and Druid (Jin Yu,  VP Engineering, Mafengwo)
11:20 AM - 12:00PM 8 Data Science Learnings from Intuit’s Approach to Detecting Payments Fraud and Risk (Josh Frank, Manager, Intuit)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Detecting & Mitigating Fraud at Airbnb scale (Anish Muppalaneni, Software Engineer, Airbnb)
1:40PM - 2:20PM How big data will bring weather forecasting into the 21st century — reliable, predictable, meaningful (Chris wake, Director, Spire Global)
2:20PM - 3:00PM Optimized Platform for Industrial Internet (Deep Kakkar, Sr. Program Manager, GE)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Applications of IoT in Retail (Kiran Gange, CEO, CustoLogix)
4:10PM - 5:10PM Keynote Panel : A Venture Capitalist view of Big Data and IoT market
Sanjit Dang (Investment Director, Intel Capital) - Moderator
Venktesh Shukla (Venture Capitalist, Monta Vista Capital & TiE President)
Kent Langley (CEO, Ekho)
Benson Yeung (Venture Partner, Diamond TechVentures)
5:30PM - 7:30PM PM Reception

Data Science & Predictive Analytics Track -  Great America Meeting Room 2

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM Adaptive interfaces for Ambient Intelligence (AmI) powered by big data from facial emotion recognition (Jr Alaoui, CEO, Eyeris)
9:40 AM - 10:20AM Data analytics and digital strategy - the future of learning ( James Rabeau, Director, Macquarie University)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Machine Learning at the Limit (John Canny, Professor, UC Berkeley & Yahoo Labs)
11:20 AM - 12:00PM Deep Learning Algorithms: Theory and Practice (Alok Aggarwal, CEO, Scry Analytics)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Sentiment Analysis (Ahmet Bugdayci, Data Scientist, Salesforce)
1:40PM - 2:20PM Applying Predictive Analytics in the Healthcare Industry to boost efficiencies and cost-savings (Paul Bradley, Chief Data Scientist, ZirMed)
2:20PM - 3:00PM Keynote : Big Data and Data Science in the Browser (Yves Hilpisch, CEO, The Python Quants GmbH)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Metadata Driven Architecture (Don Deloach, CEO, Infobright)
4:10PM - 4:50PM Deconstructing Recommendations on Spark (Ilya ganelin, Data Engineer, Capital One)
4:50PM - 5:30PM Use Case: Integration of traditional enterprise data warehouse with Cassandra (Sunil Sabat, Principal TAM (Big Data), Informatica)
5:30PM - 6:15PM A developer’s guide to graph visualization (Corey Lanum, Manager, Cambridge Intelligence)
6:15PM - 7:30PM PM Reception

Workshop - Great America Meeting Room 3

8:00 AM - 8:15 AM Registration
8:15 AM - 12:00PM Hadoop & Hive Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 5:30PM Pig Workshop
5:30PM - 8:00PM MongoDB Workshop

Day -2 ( Sep 2 8:30AM- 8:00PM )

Industry Vertical Use Cases Track -  Great America Meeting Room 1

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote : Applied Data Science in Ecommerce: Case studies from PayPal and Hotwire (Veronika Belokhvostova, VP, Hotwire)
9:40 AM - 10:20AM Streamlining and automating data ingestion into Hadoop (Sastry Malladi, Chief Architect, StubHub)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Should "Data" be in a lake or a reservoir? (Ramkumar Ravichandran, Director, Visa & Bharathiraja Chandrasekaran, Big Data Architect, Visa)
 
11:20 AM - 12:00PM Connecting the Dining Dots: Enabling a Personalized Dining Experience at OpenTable (Sudeep Das, Data Scientist, OpenTable)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Data Mining Mortgage Documents for better Lending and Banking (Ike Kavas, CTO, Ephesoft)
1:40PM - 2:20PM Keynote: Machine Learning Applications for Payment Transaction Data (Eric Haller, EVP, Experian North America)
2:20PM - 3:00PM Healthcare: Big data approach to risk assessment (Badri Prasad, Director, PwC)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Keynote: Advanced Experimentation in Social Networks (Mario Vinasco, Data Scientist, Facebook)
4:10PM - 4:50PM Semantic Technology for Interoperability of the Internet of Things (Steve Ray, Senior Researcher, Carnegie Mellon University)

Data Science & Predictive Analytics Track - Great America Meeting Room 2

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM How Data Science builds Better Products (Sean Mcclure, Principal Data Scientist, ThoughtWorks)
9:40 AM - 10:20AM Data (Art &) Science: How to combine data science with people work-flows (Eric Colson, Chief Data Scientist, Stitch Fix)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Why your Big Data efforts fail and what to do about it (Sheridan Hitchens, VP of Data, Auction.com)
11:20 AM - 12:00PM The tasks of data science in big data (Nachum Shacham, Data Scientist, Paypal)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Combining techniques of Calculus, Statistics and Data Normalization in CALSTATDN model (Shyam Sarkar, CEO, AyushNet)
1:40PM - 2:20PM Predictive marketing software (Maria Grineva, Chief Scientist, Orb Intelligence)
2:20PM - 3:00PM Keynote: Data Science and Data Products for Software Developers (Sri Satish, CEO, 0xdata)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Advances in Machine Learning on Text Data (Nick Pendar, Data Scientist, Skytree)
4:10PM - 4:50PM From Rocket Science to Data Science (Sanghamitra Deb, Data Scientist, Accenture Tech Laboratory)
4:50PM - 5:30PM Data Repurposing Existing Deep Learning Models: Image Similarity for fun (& profit?) (Rajat Arya, Product Management, Dato)

Workshop 1 - Meeting Room 206

8:30 AM - 8:45 AM Registration
8:45 AM - 12:00PM NiFi Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 8:00PM Cassandra & HBase Workshop

BOOTCAMP - Great America Meeting Room 3

8:45 AM - 9:00 AM Registration
9:00 AM - 12:00PM IoT Bootcamp
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM IoT Bootcamp 

Day - 3 ( Sep 3 8:00AM- 6:00PM )

Big Data Track - Great America Meeting Room 1

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote : EHRs as the Linchpin for Big Data in Healthcare (Terhilda Garrido, VP HIT Transformation & Analytics, Kaiser)
9:40 AM - 10:20AM Big Data Challenges and Opportunities in the Oil and Gas Industry (Lapi Dixit, Director, Halliburton)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Learn how Wells Fargo leverages data big and small to enhance competitive advantages (Heather Mcglinn Hansma, SVP,  Wells Fargo)
 
11:20 AM - 12:00PM Big Data in Healthcare and Computational Advertising (Ram Akella, Professor and Director, UC Berkeley & Santa Cruz)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM How to better secure data in Hadoop, SQL and Big Data Environments (Eric Tilenius, CEO, BlueTalon)
1:40PM - 2:20PM BI on Hadoop (Dave Mariani, CEO, AtScale)
2:20PM - 3:00PM Hadoop, Spark and MongoDB: Bringing Three Powerful Technologies Together (Bryan Reinero, Chief Evangelist, MongoDB)
3:00PM -3:30PM Break
3:30PM - 4:10PM Managing user expectations & privacy in the age of context awareness (Veerabhadra Manoj Duggirala, CEO, Context360)
4:10PM - 4:50PM Keynote : Securing IoT Networks and Ecosystems Through Managed PKI Certificates (Scott Amyx, CEO, Amyx McKinsey)

Workshop 1 -  Great America Meeting Room 2

8:45 AM - 9:00 AM Registration
9:00 AM - 12:00PM Data Science with R & Predictive Analytics Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 5:00PM Data Science with Python & Predictive Analytics Workshop

Workshop 2 -  Great America Meeting Room 3

8:45 AM - 9:00 AM Registration
9:00 AM - 9:30PM Introduction of Spark (Mohammed Guller, Principal Architect, Glassbeam)
9:30 AM - 12:00PM Spark Core & Scala
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Spark SQL & Spark Streaming

NOTE: Agenda and speakers subject to change without notice

NOTE: Agenda and speakers subject to change without notice

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