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
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