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Value proposition for big data isv partners 0714

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Value proposition for big data isv partners 0714

  1. 1. © 2011 IBM Corporation IBM Big Data Value Proposition for ISV Partners Niu Bai, Ph.D, Worldwide Big Data Partner Ecosystem Development Lead nbai@us.ibm.com
  2. 2. © 2011 BW @ IBM Corporation2 Acknowledgements and Disclaimers © Copyright IBM Corporation 2012. All rights reserved. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM This material is copyrighted and should not be used without direct permission from IBM or the author of this content. IBM, the IBM logo, ibm.com, InfoSphere Brand, InfoSphere Streams and InfoSphere BigInsights are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml Other company, product, or service names may be trademarks or service marks of others. Availability. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. The workshops, sessions and materials have been prepared by IBM or the session speakers and reflect their own views. They are provided for informational purposes only, and are neither intended to, nor shall have the effect of being, legal or other guidance or advice to any participant. While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided AS-IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other materials. Nothing contained in this presentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results.
  3. 3. © 2011 BW @ IBM Corporation Clients Need Both to Be Successful “…Every two days, we now generate the equivalent of all of the data that existed up to 2003. And thanks to advanced computation and analytics, we have the tools to turn that data into insight, knowledge and better decisions…” “Competitive Advantage in the Era of Smart” Ginni Rometty, Chairman, President and CEO, IBM Council on Foreign Relations, NYC March 7, 2013 Analytics Big Data Data • inform decisions • optimize processes • drive new business models. • explosion of data • new types of sources • moving at high speed
  4. 4. © 2011 BW @ IBM Corporation Data at Scale Data in Many Forms Data in Motion Data Uncertainty Big Data Is All Data VolumeVolume VarietyVariety VelocityVelocity VeracityVeracity
  5. 5. © 2011 BW @ IBM Corporation 30%Reduction in heating bills The Opportunities from Big Data & Analytics Are Infinite 15 min Response time to requests 150%Revenue growth rate 95%Accuracy of 18+ month sales forecasts 80%Less time required to open an account 98.5% On-time delivery target achieved 70%Counterparty measurements changed 80%Reduction in serious accidents
  6. 6. © 2011 BW @ IBM Corporation Why Act Now? Create IT AgilityManage RiskOutperform Only 1 in 5 organizations allocate more than 50% of IT budget to new projects Of leaders cite growth as the key source of value from analytics Source: 1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 2013 3 - IBM Global Data Center Study, 2012 Of respondents were impacted by a cyber security breach over the past 24 months 46%75% 1in5
  7. 7. © 2011 BW @ IBM Corporation Three Key Imperatives for Big Data & Analytics Success Invest in aInvest in a big data &big data & analyticsanalytics platformplatform Be proactiveBe proactive about privacy,about privacy, security andsecurity and governancegovernance Imagine It. Realize It. Trust It. Build a cultureBuild a culture that infusesthat infuses analyticsanalytics everywhereeverywhere
  8. 8. © 2011 BW @ IBM Corporation Watson Foundations • IBM Decision Management • IBM Content Analytics • IBM Planning & Forecasting • IBM Discovery & Exploration • IBM BI & Predictive Analytics • IBM Content Management • IBM Hadoop System • IBM Stream Computing • IBM Data Management & Data Warehouse • IBM Information Integration & Governance Leading the new era of big data and analytics
  9. 9. © 2011 BW @ IBM Corporation Systems Security On premise, Cloud, As a service Storage IBM Watson Foundations IBM Big Data & Analytics Infrastructure New/Enhanced Applications All Data Real-time analytics zone Enterprise warehouse data mart and analytic appliances zone Information governance zone Exploration, landing and archive zone Information ingestion and operational information zone What could happen? Predictive analytics and modeling What action should I take? Decision management What is happening? Discovery and exploration Why did it happen? Reporting, analysis, content analytics Cognitive Fabric A New Foundation for leveraging all analytics and harnessing for data
  10. 10. © 2011 BW @ IBM Corporation The new era of IBM Big Data & Analytics with Watson Foundations Unique – fuels journey to Cognitive Innovative – easy to consume Complete – enterprise-ready Fast – start anywhere and grow WATSON FOUNDATIONS Sales Marketing Finance Operations HRRisk ITFraud Industry Solutions SOLUTIONS CONSULTING AND IMPLEMENTATION SERVICES BIG DATA & ANALYTICS INFRASTRUCTURE Decision Management Planning & Forecasting Discovery & Exploration Business Intelligence & Predictive Analytics Content Analytics Information Integration & Governance Data Mgmt & Warehouse Hadoop System Stream Computing Content Management WATSON FOUNDATIONS Sales Marketing Finance Operations HRRisk ITFraud Industry Solutions SOLUTIONS CONSULTING AND IMPLEMENTATION SERVICES BIG DATA & ANALYTICS INFRASTRUCTURE Decision Management Planning & Forecasting Discovery & Exploration Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics Content Analytics Information Integration & Governance Data Mgmt & Warehouse Hadoop System Stream Computing Content Management
  11. 11. © 2011 BW @ IBM Corporation Helps me discover fresh insights • Predictive and content analytics to uncover patterns not yet known • Interactive exploration across all data Operates in a timely fashion • Real-time analytics as data flows through an organization • Enterprise-class Hadoop that runs 4x faster • In-memory computing for speed of thought analytics Establishes trust so I can act with confidence • Governance across complete data lifecycle including Hadoop • Security and privacy with compliance • Transparency and context to decision-making process Watson Foundations uniquely… WATSON FOUNDATIONS Decision Management Planning & Forecasting Discovery & Exploration Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics Content Analytics Information Integration & Governance Data Mgmt & Warehouse Hadoop System Stream Computing Content Management
  12. 12. © 2011 BW @ IBM Corporation InfoSphere BigInsights: Provides Enterprise Grade Hadoop analytics  Manages a wide variety and huge volume of data  Augments open source Hadoop with enterprise capabilities – Visualization & Exploration – Development tools – Advanced Engines – Connectors – Workload Optimization – Enterprise integration – Analytic Accelerators – Application and industry accelerators – Administration & Security Accelerators Information Integration & Governance Data Warehouse Stream Computing Hadoop System DiscoveryApplication Development Systems Management Data Media Content Machine Social BIG DATA PLATFORM © 2013 IBM Corporation
  13. 13. © 2011 BW @ IBM Corporation Enterprise Performance & Integration Analytics Usability Key Differentiators for BigInsights It is much more just Hadoop! • Workload / performance optimization • GPFS • Security • Key integrations & Connectors with Enterprise Ecosystem • Text analytics • Social Data Analytics Accelerators • Machine Data Analytics Accelerators • Execute R in an integrated application • Big SQL • BigSheets • Development Tools • Web Console
  14. 14. © 2011 BW @ IBM Corporation InfoSphere BigInsights InfoSphere BigInsights Administration & Security Workload Optimization (MapReduce/SQL) Connectors Development Tools IBM tested & supported open source components Accelerators Open source based components Workload Management Security Development Environment Analytics/Extractors Analytics Extraction engine (System T) Visualization & Exploration Extractors and APIs SQL API
  15. 15. © 2011 BW @ IBM Corporation IBM InfoSphere BigInsights for Hadoop Runtime File System Data Store ResourceManagement& Administration Security Data Access Advanced Analytics Visualization & Ad Hoc Analytics Applications & Development Governance MapReduceMapReduce HBaseHBase HDFSHDFS IBMOpen Source Text Analytics Text AnalyticsRR Big RBig R Kerberos Kerberos Audit&History Audit&History GPFS FPOGPFS FPO Adaptive MapReduceAdaptive MapReduce Console Console Monitoring Monitoring LDAP LDAP DataSecurityforHadoop DataSecurityforHadoop DataPrivacyforHadoop DataPrivacyforHadoopDataMatching DataMatching DataMasking DataMasking Stream Computing Search StreamsStreams Enterprise SearchEnterprise Search Solr/ LuceneSolr/ Lucene JaqlJaql PigPigHiveHive ZooKeeper ZooKeeper Oozie Oozie Big SQLBig SQL Flexible SchedulerFlexible Scheduler ETLETL BigSheetsBigSheets DashboardDashboardChartingCharting Eclipse Tooling: MapReduce, Hive, Jaql, Pig, Big SQL, AQL Eclipse Tooling: MapReduce, Hive, Jaql, Pig, Big SQL, AQL BigSheets Reader and Macro BigSheets Reader and Macro Text Analytics Extractors Text Analytics Extractors FlumeFlume SqoopSqoop HCatalogHCatalog YARN* YARN* * In Beta InfoSphere BigInsights for Hadoop includes the latest Open Source components, enhanced by enterprise components
  16. 16. © 2011 BW @ IBM Corporation © 2013 IBM Corporation16 From Getting Starting to Enterprise Deployment: Different BigInsights Editions For Varying Needs Standard Edition Breadth of capabilities Enterpriseclass Enterprise Edition - Spreadsheet-style tool - - Web console - - Dashboards - Pre-built applications - - Eclipse tooling - - RDBMS connectivity - - Big SQL - - Monitoring and alerts - - Platform enhancements - - . . . - Accelerators - - GPFS – FPO - - Adaptive MapReduce - Text analytics - Enterprise Integration - - Big R - - InfoSphere Streams* - - Watson Explorer* - - Cognos BI* - - Data Click* - - . . . - * Limited use license Apache Hadoop Quick Start Free. Non-production Same features as Standard Edition plus text analytics and Big R
  17. 17. © 2011 BW @ IBM Corporation Predictive Analytics BI & Reporting Visualization & Discovery Operational Warehouse Zone Operational Warehouse Zone Analytics Warehouse Zone Analytics Warehouse Zone Hadoop Zone - Preprocessing, Queriable Archive, Ad Hoc Analysis Information Integration and Governance Information Integration and Governance Integration Master Data Governance Custom Applications Structured Semi Structured Unstructured Hadoop Analytics & Visualization Real time Analytics Zone Enterprise Integration with Multiple Products Brings the Power of the Big Data Platform to BigInsights InfoSphere Data Explorer BUNDLED: Indexing and “on the glass” integration InfoSphere Streams BUNDLED: Enables real- time, continuous analysis of data on the fly InfoSphere Guardium Auditing InfoSphere DataStage Data collection and integration Cognos BI BUNDLED: Support for Hive; BI capabilities Netezza Query & join data using UDFs DB2 and JDBC Hi-speed parallel read-write for DB2, JDBC connectivity R Execute R jobs directly from BigInsights web console InfoSphere Optim Data archiving Data masking
  18. 18. © 2011 BW @ IBM Corporation What’s New in BigInsights v3.0 – features and benefits Rich SQL language support over Hadoop Comprehensive SQL language support that runs ALL 99 TPC-DS queries and ALL 22 TPC-H queries without modification Rich SQL language support over Hadoop Comprehensive SQL language support that runs ALL 99 TPC-DS queries and ALL 22 TPC-H queries without modification Industry-leading SQL processing performance over Hadoop Data Execute queries 20 times faster, on average, over Apache Hive 12 with performance improvements ranging up to 70 times faster with Big SQL Industry-leading SQL processing performance over Hadoop Data Execute queries 20 times faster, on average, over Apache Hive 12 with performance improvements ranging up to 70 times faster with Big SQL Federated query Query multiple sources at once by combining data from many data sources, including DB2 for Linux, UNIX and Windows database software, PDA, PDOA, Teradata and Oracle etc. Federated query Query multiple sources at once by combining data from many data sources, including DB2 for Linux, UNIX and Windows database software, PDA, PDOA, Teradata and Oracle etc. Enhanced BigSheets analysis and visualization tool Integration with SQL and Hive for consistency between tables and sheets; D3 (Data Driven Documents) charts for quick visualization of ad hoc analytics enabling business analysts and data scientists to get insight from big data without coding Enhanced BigSheets analysis and visualization tool Integration with SQL and Hive for consistency between tables and sheets; D3 (Data Driven Documents) charts for quick visualization of ad hoc analytics enabling business analysts and data scientists to get insight from big data without coding Secure and protect sensitive information in Hadoop Enable Kerberos security in Hadoop to establish service to service authentication that increases security strength to prevent middle man attacks Secure and protect sensitive information in Hadoop Enable Kerberos security in Hadoop to establish service to service authentication that increases security strength to prevent middle man attacks
  19. 19. © 2011 BW @ IBM Corporation Big SQL 3.0 – At a Glance
  20. 20. © 2011 BW @ IBM Corporation Transforming Email Marketing Campaign Effectiveness with IBM Big Data Capabilities • InfoSphere BigInsights, IBM PureData for Analytics – powered by Netezza technology, Cognos BI Need • Constant Contact needed to analyze 35 billion annual emails to guide customers on best dates and times to send emails for maximum response Benefits • 40 times improvement in analysis performance • 15-25% performance increase in customer email campaigns • Analysis time reduced from hours to seconds
  21. 21. © 2011 BW @ IBM Corporation Teikoku Databank – Cuts time needed to process billions of textual data items from several days to 30 minutes Analyzes 4.75-fold more data, enhancing corporate credit offering to customers “With IBM InfoSphere BigInsights, it has become possible to process billions of items of textual data in 30 minutes.” — Mr. Satoshi Kitajima, an MBA Statistician in the SPECIA Team of the Business Analytics Division of the Market and Business Intelligence Department, Teikoku Databank Accelerates processing textual data, speeding delivery of information to clients Differentiates the company, providing a significant competitive advantage Banking, Financial Markets The transformation: By effectively combining proprietary data with big data from the Internet, the company maximizes utilization of the available data sets to deliver more detailed information to customers. Soluton components Software • IBM® InfoSphere® BigInsights™ InfoSphere BigInsights
  22. 22. © 2011 BW @ IBM Corporation Vestas optimizes capital investments based on 2.5 Petabytes of information. • Model the weather to optimize placement of turbines, maximizing power generation and longevity. • Reduce time required to identify placement of turbine from weeks to hours. • Incorporate 2.5 PB of structured and semi-structured information flows. • Data volume expected to grow to 6 PB. Capabilities Utilized: InfoSphere BigInsights InfoSphere Warehouse
  23. 23. © 2011 BW @ IBM Corporation23 Large European University generates own energy and uses analytics to monitor and manage consumption Need • After years of 8-digit electric bills, the university deployed an independent on- campus power generation system. But they lacked a solution to monitor, analyze, and manage production and consumption, Benefits • Anticipate lower energy consumption levels and costs • Ability to identify energy inefficient areas of campus and take corrective action • Improved understanding of how changes in power grid model affect energy efficiency Capabilities Utilized: Cognos BI, SPSS InfoSphere BigInsights InfoSphere Warehouse Tivoli Energy Management
  24. 24. © 2011 BW @ IBM Corporation Performance enhancements & workload optimizations resulting in faster answers Unique analytic engines that get more accurate results Built-in development environment and administration consoles enable your resources skills to utilize Hadoop Enterprise-class security to protect your big data Pre-integrated to your existing enterprise IT systems ensuring that big data doesn't become a silo Faster For Enterprise Big Data, InfoSphere BigInsights is the Clear Choice Smarter Secure Plugged-in Easier © 2013 IBM Corporation
  25. 25. © 2011 BW @ IBM Corporation 25 InfoSphere Streams - Streaming Analytics for Big Data • Built to analyze data in motion – Multiple concurrent input streams – Massive scalability • Process and analyze a variety of data – Structured, unstructured, video, audio – Advanced analytic operators • Enables Adaptive Real-Time Analytics – With Data Warehouses – With Hadoop Systems Accelerators Information Integration & Governance Data Warehouse Stream Computing Hadoop System DiscoveryApplication Development Systems Management Data Media Content Machine Social BIG DATA PLATFORM
  26. 26. © 2011 BW @ IBM Corporation 26 Millions of events per second Microsecond Latency Traditional / Non-traditional data sources Real time delivery Powerful Analytics Algorithmic Trading Telco Churn Prediction Smart Grid Cyber Security Government / Law enforcement ICU Monitoring Environment Monitoring Volume Terabytes per second Petabytes per day Variety All kinds of data All kinds of analytics Velocity Insights in microseconds InfoSphere Streams Delivers Analytics for Big Data In-Motion Example Streaming Data Sources: Video, audio, networks, social media
  27. 27. © 2011 BW @ IBM Corporation 27 Massively scalable stream analytics Linear Scalability • Clustered deployments – unlimited scalability Automated Deployment • Automatically optimize operator deployment across nodes Performance Optimization • Parallel & pipeline operations • Efficient multi-threading Analytics on Streaming Data • Analytic accelerators for a variety of data types • Optimized for real-time performance Visualization Streams Runtime Deployments Sink Adapters Analytic Operators Source Adapters Automated and Optimized Deployment Streaming Data Sources Streams Studio IDE
  28. 28. © 2011 BW @ IBM Corporation 28 ModifyModify Filter / SampleFilter / Sample ClassifyClassify FuseFuse AnnotateAnnotate Big Data in Real Time with InfoSphere Streams ScoreScore Windowed Aggregates Windowed Aggregates AnalyzeAnalyze
  29. 29. © 2011 BW @ IBM Corporation 29 IBM InfoSphere Streams 29 Comprehensive Development Tools Scale-out Architecture Sophisticated Analytics with Toolkits & Accelerators • Clustered runtime for near- limitless capacity • Large scale deployment • RHEL v5.3 and above • CentOS v6.0 and above • X86 & Power multicore HW • SUSE Linux Enterprise Server 11.2 and above • InfiniBand support • Ethernet support • Eclipse IDE • Web console • Drag & drop editor • Instance graph • Streams visualization • Streams debugger • Java improvements • Mapped operators • CEP, Database, Data Explorer, DataStage, Finance, SPSS, R Geospatial, Internet, Mining, Messaging with JMS adapter, Standard, Text, Time Series Toolkits • Telco & Social Data Accelerators Front Office 3.0 Items in blue are new in V3.1
  30. 30. © 2011 BW @ IBM Corporation 30 © 2013 IBM Corporation30 What’s new in v3.1 Analytics! Performance! Integration! R analytics • Data analysis with statistical, mining and modeling capabilities • Extends family of analytics options with Streams • Opens new market & fosters BigInsights/Netezza Synergy New Time Series Toolkit operators • Incremental interpolation: replace missing values • Distribution: compute quartiles, median Improved Performance • Java enhancements yield faster throughput and reduced resources for fused Java operators • For operations with lists and maps, 2 to 10x improvements Eliminate barriers to integration and adoption with new support for: • SUSE Linux Enterprise Server v11.2 • JMS (Java Messaging Services) • Teradata & Asterdata
  31. 31. © 2011 BW @ IBM Corporation 31 Streams Analyzes All Variety of Data Mining in Microseconds (included with Streams) Image & Video (Open Source) Simple & Advanced Text (included with Streams) Text (listen, verb), (radio, noun) Acoustic (IBM Research) (Open Source) Geospatial (Included with Streams) Predictive (Included with Streams) Advanced Mathematical Models (Included with Streams) Statistics (included with Streams) ∑population tt asR ),( ***New******New*** ***New******New*** ***New******New*** Blue = included with the product Red = built for Streams and used in projects but not yet part of the product Blue = included with the product Red = built for Streams and used in projects but not yet part of the product
  32. 32. © 2011 BW @ IBM Corporation 32 Dublin City Centre Increases Bus Transportation Performance • Public transportation awareness solution improves on-time performance and provides real-time bus arrival info to riders • Continuously analyzes bus location data to infer traffic conditions and predict arrivals • Collects, processes, and visualizes location data of all bus vehicles • Automatically generates transportation routes and stop locations Results: • Monitoring 600 buses across 150 routes • Analyzing 50 bus locations per second • Anticipated to Increase bus ridership Capabilities Utilized: Stream Computing
  33. 33. © 2011 BW @ IBM Corporation 33 University of Ontario Institute of Technology (UOIT) Detects Neonatal Patient Symptoms Sooner • Performing real-time analytics using physiological data from neonatal babies • Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner • Early warning gives caregivers the ability to proactively deal with complications Significant benefits: • Helps detect life threatening conditions up to 24 hours sooner • Lower morbidity and improved patient care Capabilities Utilized: Stream Computing “Helps detect life threatening conditions up to 24 hours sooner”
  34. 34. © 2011 BW @ IBM Corporation 34 Asian Telco reduces billing costs and improves customer satisfaction Capabilities: Stream Computing Analytic Accelerators Real-time mediation and analysis of 5B CDRs per day Data processing time reduced from 12 hrs to 1 min Hardware cost reduced to 1/8th Proactively address issues (e.g. dropped calls) impacting customer satisfaction.
  35. 35. © 2011 BW @ IBM Corporation35 IBM Accelerator for Telco Event Data Analytics • Telcos • Campaign management, real-time promotion, fraud detection, service assurance and network monitoring, • Ships with Streams v3, but works with BigInsights or PureSparta for Analytics (a.k.a. Netezza) IBM Accelerator for Social Data Analytics • B2C businesses • Sample applications: Customer acquisition / retention, Customer Segmentation or Micro Segmentation, Marketing Campaign Optimization, Lead generation, Brand Management or Surveillance • Ships with BigInsights v2 and Streams v3 IBM Accelerator for Machine Data Analytics • Cross-industry: manufacturing, oil & gas, energy and utility, healthcare, travel and transportation, CPG, Retail, etc. • Operational efficiency monitoring, security incident investigation. proactive maintenance, troubleshooting, outage prevention, efficiency tracking, etc • Ships with BigInsights v2 3 Accelerators BigInsights and Streams are Faster to Deploy
  36. 36. © 2011 BW @ IBM Corporation36 Without a Big Data Platform You Code… IBM Big Data Platform Multithreading Custom SQL and Scripts Performance Optimization Debug Application Management Event Handling Connectors Check Pointing Security HA Accelerators and Toolkits
  37. 37. © 2011 BW @ IBM Corporation 37 Putting it All Together …End-to-End Big Data Solution PureData System InfoSphere BigInsights IBM Cognos IBM SPSS Streaming Data Sources Discover Model Visualize & Publish Score Measure InfoSphere Streams InfoSphere Warehouse InfoSphere Data Explorer
  38. 38. © 2011 BW @ IBM Corporation Go Further and Faster with IBM Resources Accelerated Discovery Lab Ecosystem Analytics Solution Centers Expertise 99KKConsultants 3030KKEngagements 2,5002,500 Academic Initiative 1,0001,000Partnerships Business Partners
  39. 39. © 2011 BW @ IBM Corporation39 Value Proposition for ISVs • Obtain a solid enterprise ready platform to integrate with their applications or solutions • Enhance and expand their solutions by leveraging IBM Big Data Platform and thus open up new business and revenue opportunities • Joint go-to-market Opportunities  Have access to IBM accounts they wouldn’t normally have • Make profit by via ASL or OEM agreement • Take advantage of capabilities of Streams and BigInsights for scalability, security, analytics, and integration with the rest of the information agenda infrastructure • Leverage IBM’s partner ecosystem of ISV and System Integration partners to quickly expand business globally
  40. 40. © 2011 BW @ IBM Corporation40 Big Data Micro Site – Partner Profiles  Main Microsite Link – www.ibm.com/software/data/bigdata  Microsite Click Through To BP Detailed Page – http://www.ibm.com/software/data/bigdata/business-partners-profiles.html
  41. 41. © 2011 BW @ IBM Corporation41 IBM Big Data Partner Program Enrollment Process 1) Become a member of PartnerWorld, if you are not already – https://www-304.ibm.com/partnerworld/wps/servlet/ContentHandler/pw_com_jnw_joinallBPs 1) Send a “letter of intent” via email to Niu Bai nbai@us.ibm.com, stating that you intend to integrate your solution with Streams and/or BigInsights. 3) Download Streams and/or BigInsights Quick Start Editions – http://www-01.ibm.com/software/data/infosphere/biginsights/quick-start/ – http://www-01.ibm.com/software/data/infosphere/streams/quick-start/ 3) Please fill out the partner information template and send them back to nbai@us.ibm.com once completed  Then get exposure on dedicated IBM Big Data Partner Website, connected to IBM Big Data Sales and Ecosystem Development Teams, and joint marketing etc. 3) Attend the free Big Data bootcamps https://www.ibm.com/developerworks/community/wikis/home? lang=en#!/wiki/Information+Management/page/Big+Data+Fundamentals+Bootca mp 3) Integrate your software solution with Streams and/or BigInsights and/or develop a offering around Streams/BigInsights –
  42. 42. © 2011 BW @ IBM Corporation42 Key Web Site Links  IBM big data Microsite – http://www-01.ibm.com/software/data/bigdata/  IBM big data Linkedin Group – http://www.linkedin.com/groups/IBM-big-data-4014567?trk=myg_ugrp_ovr  IBM big data channel on YouTube – http://www.youtube.com/user/ibmbigdata  Training/Education Link – http://www-03.ibm.com/certify/partner/pub/zz/mem_skillsreq.shtml  Big Data University – http://bigdatauniversity.com/  Big Data Hub – http://www.ibmbigdatahub.com/  Key Blogs – Bruce Weed’s Blog on big data • http://bruceweed.wordpress.com/ – IBM Smarter Computing Blog • http://www.smartercomputingblog.com/category/big-data/  Join the conversation on our Information Management Business Partner Blog  Follow us on Twitter: InfoMgmt Partner IBM Big Data
  43. 43. © 2011 BW @ IBM Corporation43 Thank You Merci Grazie Gracias Obrigado Danke Japanese English French Russian German Italian Spanish Brazilian Portuguese Arabic Traditional Chinese Simplified Chinese Hindi Tamil Thai Korean

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