Cloudera for Internet of Things

Editor's Notes

• #6: IMG: Satellite view of SF with pin points 20k sensors in any building / massive amounts - millions of sensors churning out data (great example of IoT — “holy crap” visual SHARP (stories & examples, humor, analogies, references & quotes, pictures): Mike’s SF sensor story?
• #7: SLIDE 4: (data deluge) multiple different points of data input (trains, fitbits, cars, buildings, etc.)
Key Point 1: We’re not in Kansas anymore, Toto! · Sub point 1: Data data everywhere · Sub point 2: Expectations of personalized/better experiences based on data · Sub point 3: Ethical treatment of data
• #8: SLIDE 3: Takeaway — It’s all kinda meaningless unless you can make sense of all that data POV: Hadoop is a central component for success with IoT Action (General action step): Re-architect now to prepare for IoT deluge Benefit: Get ahead of IoT wave, stop talking - start doing Talking points: While internet of things holds a lot of promise, it’s all for not unless you can actually do something with the data that is the bi-product of IoT itself. The data deluge that comes with it requires a modernized approach to data management infrastructure, one that accounts for the new requirements to store, process and analyze enormous volumes of data. Successful organizations start from the architecture out are generally the most successful. Re-architecting now, at the onset of your IoT journey, will put you in a position to capitalize on all that data and deliver meaningful results. As we’ll discuss throughout this presentation, Hadoop is a central pillar to that modernized information architecture.
• #9: SLIDE 5: SIMON (high level) Key Point 2: Cloudera drives (powers?) the IoT · Sub point 1: Manage the volume · Sub point 2: Analytics for everyone · Sub Point 3: Preserve data security & provenance
• #10: SLIDE 6,7,8: case study individual slides Key Point 3: Customers choose Cloudera for IoT success · Sub point 1: Opower · Sub point 2: Monstanto (?) · Sub point 3: Vivint (need logo & entity surveillance & monitoring — nest-esque, but not nest) Vivint story: http://www.cloudera.com/content/cloudera/en/about/press-center/press-releases/2014/07/15/vivint-standardizes-on-a-cloudera-enterprise-data-hub-for-securi.html
• #11: SLIDE 6,7,8: case study individual slides Key Point 3: Customers choose Cloudera for IoT success · Sub point 1: Opower · Sub point 2: Monstanto (?) · Sub point 3: Vivint (need logo & entity surveillance & monitoring — nest-esque, but not nest) Vivint story: http://www.cloudera.com/content/cloudera/en/about/press-center/press-releases/2014/07/15/vivint-standardizes-on-a-cloudera-enterprise-data-hub-for-securi.html
• #12: SLIDE 6,7,8: case study individual slides Key Point 3: Customers choose Cloudera for IoT success · Sub point 1: Opower · Sub point 2: Monstanto (?) · Sub point 3: Vivint (need logo & entity surveillance & monitoring — nest-esque, but not nest) Vivint story: http://www.cloudera.com/content/cloudera/en/about/press-center/press-releases/2014/07/15/vivint-standardizes-on-a-cloudera-enterprise-data-hub-for-securi.html
• #13: With maturity of the platform and  technology ecosystem, and with enterprises better understanding not only the promise of the technology but also how to implement it, we are seeing a fundamental shift in the market….. Hadoop and big data are no longer about technologies only, nor are they  simply about cost reduction. In fact, there have been shifts towards aligning data to business objectives in order to derive even greater value out of big data. The three areas of opportunities within businesses generally are: Customer 360 - How do I understand my customers and my channel better to improve my topline? Data-driven products - How do I create better and more products to satisfy the needs of my customers? Risk - How do I make sure that the company complies to rules and regulations, protects customer and enterprise information, and minimize the risk factors?
• #14: With maturity of the platform and  technology ecosystem, and with enterprises better understanding not only the promise of the technology but also how to implement it, we are seeing a fundamental shift in the market….. Hadoop and big data are no longer about technologies only, nor are they  simply about cost reduction. In fact, there have been shifts towards aligning data to business objectives in order to derive even greater value out of big data. The three areas of opportunities within businesses generally are: Customer 360 - How do I understand my customers and my channel better to improve my topline? Data-driven products - How do I create better and more products to satisfy the needs of my customers? Risk - How do I make sure that the company complies to rules and regulations, protects customer and enterprise information, and minimize the risk factors?
• #15: Security and privacy of sensitive data Secure the data streams - Data collection, data transmission Protect sensitive data - Right access to the right people Lower total-cost-of-ownership Continuous performance improvement - Outperform Moore’s Law Systems management - Better tools to monitor and manage the entire stack: systems, software, and data Time-to-value Collectively with our technology ecosystems, Intel and Cloudera are creating pre-packaged, pre-engineered solutions to transform businesses with data and to accelerate customers’ time-to-value
• #16: SLIDE 10: Circle back to the SF story / visually
Action (Specific call to action): learn more @ www.cloudera.com/IoT (will need to create this!) Benefit (from above): Get ahead of IoT wave SHARP: Mike’s SF sensor story? · Sub point 1: Data data everywhere · Sub point 2: Expectations of personalized/better experiences based on data · Sub point 3: Ethical treatment of data
• #17: Cloudera partners more broadly and deeply across the Hadoop ecosystem than any other vendor. With over 1200 partners and counting, our partnerships offer: Compatibility with your existing tools and skills 160+ certified on Cloudera 5, including all 12 of the 12 Gartner Business Intelligence Magic Quadrant leaders Flexible deployment options On-premises Public, private, or hybrid cloud Appliances and engineered systems Partnerships you can trust Deep engineering relationships Comprehensive certification program