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© 2014, 2015 IBM Corporation ITS-CA 2015
ITS-CA 2015 SEPTEMBER 23,2015
By Peter Badovinatz: IBM Analytics Client Architect- [email protected]
Sahid Sesay: Smart Connect Chief Technology Officer - [email protected]
Sensor Data Automation and Analytics for Predictive Maintenance and Service Reliability
Cloud and PaaS Solutions
© 2014, 2015 IBM Corporation ITS-CA 2015 2
What is the IBM Analytics Platform?
•NoSQL Operational Data Store - Cloudant •Innovator of “Database as a Service” (DBaaS) •JSON document database •For apps that need:
•Elastic scalability •High availability •Data model flexibility •Data mobility •Text search •Geospatial
•Available as:
•Fully managed DBaaS •On-premises private cloud •Hybrid architecture
Build More. Grow More. Sleep More.
IBM PaaS is a massively scalable, always-on NoSQL (JSON doc store) data layer for web & mobile applications, available as a fully managed DBaaS, or managed on-premises.
ITS-CA 2015
Sensor Data Automation & Analytics
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OBD
CAN Module
GPAC Kit CANceiver
© 2014, 2015 IBM Corporation ITS-CA 2015 4
Why Companies Use IBM Cloud and Analytics PaaS
DIY Analytics WA, dashDB offer unmatched visualizations
Scales massively & elastically Handle millions of daily active users
Guaranteed performance & up time
Removes risk of project & SLA delivery failure More agile development for web & mobile
No rigid schemas to slow development Managed for you 24x7
Stay focused on new development, not DB administration
Build More. Grow More. Sleep More.
….. empowers clients from all verticals to get their applications to market faster in a cost-effective, hassle-free delivery model with guaranteed performance and support.
© 2014, 2015 IBM Corporation ITS-CA 2015 5 22
Ability to isolate data to the individual on the local device and server Limit overall network activity by syncing only data pertinent to those users and their devices Easily share data across devices based on user access
Simplify and Distribute More Efficiently
© 2014, 2015 IBM Corporation ITS-CA 2015
Partnership with IBM Analytics Platform
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Fully Managed distributed NoSQL Database as a Service (DBaaS)
–Multi-tenant and single (dedicated) tenants –Managed 24x7 by Cloudant expert engineers –Service Level Agreement –Operational data store
dashDB’s partnership with Cloudant presents two opportunities: A launching point for new NoSQL customers looking for low-risk, low-cost avenues for getting started with data warehousing & analytics in a
• Multi-tenant environment on the cloud A new point of entry for existing Cloudant developers to access
• Industry-leading Netezza analytics and BLU in-memory warehousing
© 2014, 2015 IBM Corporation ITS-CA 2015
IBM Cloud Data Services
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Enterprise Hadoop •Bare metal performance •Build on reference architecture •BigInsights enterprise features
Cloudant DBaaS •Global data distribution •Massively scalable •Eventually consistent data model •Built for mobile, Systems of Engagement
dashDB •SQL interface •ACID compliance •Columnar, in-memory performance •BLU augmented with Netezza in-DB analytics •Built for Systems of Insight
SQLDB •DB2 for Bluemix •SQL interface •ACID compliance •Same skillset and data formats as •on-premises relational databases •Built for Systems of Record
ANALYTICAL TRANSACTIONAL
UNSTRUCTURED STRUCTURED
Mixed workloads and data types are knit together with DataWorks for true hybrid services
DataWorks Data Refinery
Services
www.bluemix.net
www.cloudant.com
SDP Schema Discovery
Process
DataWorks Data Refinery
Services
Cloud-Based Systems of Engagement (NoSQL, Mobile, Internet of Things, Social Media) IBM & Third Party Integrations
(Cognos, SPSS, SAS, Tableau, ESRI ArcGIS)
Read/Write
(HTTP)
Read/Write
Read/Write
Read/Write
Read/Write
(On/Off Prem)
SoftLayer Infrastructure as a Service
dashDB and the IBM Cloud
www.dashDB.com © 2015 IBM Corporation
ITS-CA 2015
Data Automation & Analytics Value
Predictive maintenance • Know when buses are “getting
sick” much sooner • Leverage higher frequency data
to establish early warning system
• Monitor sensor thresholds and receive alerts when out of range while buses are on runs
• Establish comparative analysis and predictive capability over time
Service reliability • Better attract and retain choice
riders with enhanced reliability and more effective bus services
• Decrease bus mechanical failure rates and increase on-time performance by reducing in-service breakdowns
• Optimize mechanic productivity with proactive maintenance requirements and knowledge
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© 2014, 2015 IBM Corporation ITS-CA 2015
ITS-CA 2015 SEPTEMBER 23,2015
By Peter Badovinatz: IBM Analytics Client Architect- [email protected]
Sahid Sesay: Smart Connect Chief Technology Officer - [email protected]
Sensor Data Automation and Analytics for Predictive Maintenance and Service Reliability
Cloud and PaaS Solutions