Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
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?
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
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.
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
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
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
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
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?
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?
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
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
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