CWIN17 Toulouse / Business that rely on data stax enterprise make smart decisions from smart devices datastax-j.michel
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Data comes from different geographical locations and across multiple channels. Managing this explosion of high velocity dynamic data while maintaining customer privacy is a challenge with legacy systems. Rely on the database designed for the age of the Internet of Things. DataStax is built from the ground up to consume time-series and sensor-based information faster than any other database. Easily add scale and capacity while maintaining 100% uptime – no matter what. Search and analyze information to deliver mind blowing experiences that will drive engagement and growth
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CWIN17 Toulouse / Business that rely on data stax enterprise make smart decisions from smart devices datastax-j.michel
- 1. Operational Data Hub Accelerate your Digital Transformation Julien MICHEL julien.michel@datastax.com Toulouse, September 28th #CWIN17
- 2. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 2 Data is the cornerstone of Digital Transformation • Digital Transformation is the evolution of business processes to provide • better experience, • better efficiency, • new services • to all stakeholders of the company • customers, • employees, • suppliers, • etc. • through a better use of digital tools and data.
- 3. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 3 …in a rapidly evolving world. Each new innovation accelerates expectations
- 4. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 4 Legacy Post Relational TransactionalAnalytical The New Database Market
- 5. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 5 Why DataStax Enterprise ? Effortless Scale Instant InsightAlways-on and and Real-Time, undisrupted customer experience Guaranteed responsive global access Contextual, connected, single view of the customer
- 6. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 6 Real-time, Contextual Data at Scale for Apps? Point of Sale Systems Customer Sentiment & Satisfaction Systems Social Media Engagement Systems of Record Legacy Systems Systems of Engagement Payment & Processing Systems Internet of Things
- 7. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 7 Poised for Innovation, Unshackled from Legacy Point of Sale Systems System of Innovation The Operational Data Platform Social Media Engagement Systems of Record Legacy Systems Systems of Engagement Payment & Processing Systems Internet of Things CONTEXTUAL ALWAYS-ON REAL-TIME DISTRIBUTED SCALABLE + + + +
- 8. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 8 The Potential of Data for Future Reality Artificial Intelligence and IoT will deliver trillions of information bits that will power innovation.
- 9. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 9 CONTEXTUAL New applications must meet expectations ALWAYS-ON DISTRIBUTED SCALABLEREAL-TIME
- 10. DataStax: Powering the Right-Now Economy
- 11. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 11 British Gas THE CHALLENGE: Power connected homes “We were looking for a database solution that could scale. From an architectural point of view, DataStax was the ideal product, because you can easily keep adding and adding nodes and there is no reason why it should work differently if there were 10 or 1000.” – Josep Casals, Head of Data Engineering, British Gas • Connected Homes business unit handles IoT-based customer systems • Provides remote control over thermostats and boilers via smart phones/tablets – 2 million+ smart meters deployed with in-home displays, 200k connected thermostats across 11 million customers • Delivers analytics on energy usage to customers • Electricity reading every 10 seconds, gas reading every 30 minutes • Uses predictive analysis to forecast things like boiler failures • Uses DataStax Enterprise for transactional data consumption and real-time analytics • 30,000 messages per second • 850,000 customers get the My Energy Report
- 12. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 12 Traxens THE CHALLENGE: Implement a solution for global, real-time, end-to-end monitoring of containers door to door and proactive alerts for issues • Traxens offers an IOT service, Trax-Hub, for real-time, end to end global monitoring of containers door to door • Alerts for open boxes, temperature changes, etc. • Granular monitoring of individual containers: Traxens can store information on all containers (up to 20,000 in one ship), and hundreds of attributes per container • Scalable platform for future needs
- 13. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 13 GE Provides Predictive Maintenance Innovation • GE offers the first Industrial Cloud Platform called GE Predix. DataStax is part of the data services layer within the platform. • DSE will collect sensor data from millions of devices from around the world to help GE provide predictive maintenance to their customers and increase operational efficiencies. • Predix manages trillions of transactions per day. DSE was recognized as the only solution that could support this scale and data center replication. THE CHALLENGE: Collect sensor data from millions of devices from around the world and manage trillions of transactions per day.
- 14. Thank You! Julien MICHEL Solution Engineer julien.michel@datastax.com
Editor's Notes
- Hello and thanks for joining us in this discussion today
- And this is specially true in the world today – when the expectations around these moments have just sky rocketed. Nest is changing what British Gas customers expect from the company. As you know, Netflix just forced companies like Blockbuster to simply go out of business. Uber, Air BnB, Spotify are driving how customers interact with the transportation, hotel and music industries. Amazon has already transformed how companies like Macy’s, Target, and Home Depot need to engage their customers to continue to drive growth. and WhatsApp is making companies like AT&T & Verizon rethink how they handle availability, experience and continue to innovate. All of these are enterprises that need to deliver state of the art cloud applications.
- Traditional Database – the choice of traditional Enterprise Cloud DaaS – the choice of SMB DataStax – the choice for Enterprise Innovators
- The values delivered by DataStax are as follows: Reduce the complexity of ETL to support the movement of data between systems Fast Performance Horizontal scalability Solr and Spark integration to support integrated, real-time analytics needs Rich set of APIs for easy application development
- The values delivered by DataStax are as follows: Reduce the complexity of ETL to support the movement of data between systems Fast Performance Horizontal scalability Solr and Spark integration to support integrated, real-time analytics needs Rich set of APIs for easy application development
- This is a world of Cloud Applications. Netflix, WhatsApp, Uber, each and every one of these companies manifests customer interactions in unique applications that need to be highly Contextual. The application needs to be relevant to the person and give them the information they need. It needs to be Always-on, never go down – and I mean 100%, not 99.999. It doesn’t whether you have a calamity or you have a spike over the holidays, it needs to be always-on. We have many customers that have never had any downtime in the past 4 or 5 years. The app needs to be Real-time. You {name of customer}, need to be able to look at data or the transaction you just did, right? That’s customer experience. That’s what Steve says, he walks into Delta, he just canned his bags, he walks in and the person says, “Mr. Rowland, thank you so much for joining us again today” and it just makes him feel like the people know him, he feels loved. That’s real-time right there. It’s about being Distributed. It doesn’t matter where your customer is, where your process is, it needs to be available where they are. Global enterprises need to be able to meet national requirements – for example they need to keep German customer’s data on data centers in Germany. And also provide immediate responsiveness to customers whether they are interacting with the app in San Francisco, Paris or Taipei. And finally, it needs to be Scalable. It needs to grow with you, expand with you and reduce when you don’t need that kind of scale. It needs to be elastic and it’s ability to handle that scale. You need to be confident that spikes during Black Friday or Tax Season are going to be as exceptional as interactions during slower business seasons. These are the requirements of today’s cloud applications. And DataStax, helps you manage cloud applications. It is the only data management technology that can handle all of these requirements in one unified platform. No other technology can be contextual AND always-on AND real time AND distributed AND scalable all in one industry-leading data management platform.
- Let’s drill down into how British Gas is creating a leading the IoT trend with DataStax Enterprise – Connected Boilers are sending real-time data for preventative maintenance to identify abnormal spikes and readings, and proactively schedule a repair They have 2+million smart meters with in-home displays (you can see your consumption while you are standing in the kitchen, and via mobile apps) - that using Zigby are sending electricity readings every 10 seconds and gas readings every 30 minutes. And British Gas is using machine learning to disaggregate the energy data to identify which devices are consuming how much energy – since meters have an total consumption – for e.g. refrigerators have very cyclical patterns where they go on and off Their Hive Connected Thermostats are streaming temperature time series data British Gas, a 200 year old company has an innovated Connected Homes business unit and are competing with NEST and giving Google a run for its money We also power GE Predix - a platform that securely ingests machine-grade data at scale and analyzes it to deliver outcomes—fast. “We were looking for a database solution that could scale. From an architectural point of view, DataStax was the ideal product, because you can easily keep adding and adding nodes and there is no reason why it should work differently if there were 10 or 1000.” – Josep Casals, Head of Data Engineering, British Gas
- Tracking cargo in shipping containers is no easy task. Not only do you need hardware that can maintain connectivity in tough situations, but you need a data platform that can capture sensor data and allow you to richly analyze the information that comes back. Traxens is offering a IoT service to track containers that go on cargo ships from door to door. Using DSE, Traxens gets a scalable, available, and global platform that allows them to capture data from anywhere in the world and serve that data to a growing number of end-applications. With traditional database technologies’ low throughput rates, tracking information might be limited to ship location, or very general information about each container. But with DSE’s scalable storage and event-friendly data model, Traxens can store information on all containers (up to 20,000 in one ship), and hundreds of attributes per container. This means that users can track, globally and at all times, events like temperate changes, containers opening and more. And with a scalable and global platform, Traxens has a system that can fit any of their future needs, allowing this tracking data to be unlocked and available to any number of end applications, no matter how demanding.
- GE is offering the first Industrial Cloud Platform called Predix. Datastax is part of the data services layer within the platform where DSE will collect sensor data from a myriad of devices from around the world and then offer this data back to their clients and customers in a way to provide predictive maintenance and increase operational efficiencies. Our ability to support such a global application rollout was top of mind for the Predix executives. We also delivered additional features, which they plan to leverage, such as Spark Streaming and Solr Search. Our Advanced Replication is also being a considered for their On-Premise Predix offering and Graph is the number #1 project for 2016. Predix is looking at trillions of transactions per day and we were recognized as the only solution that could offer that scale along with data center replication. The challenge for Predix is data volume, velocity and variety. Connecting the world’s sensors to the Predix platform will deliver a data load, possibly, unseen in current times. https://www.slideshare.net/RyanZhang7/digital-strategy-to-transform-ge-into-digital-industrial-leader?qid=50e4801d-7d96-41ca-904b-7819650bb7ca&v=&b=&from_search=5 https://www.slideshare.net/JuanPabloGenovese/ge-predix-the-iiot-platform