Tech Talk: Analytics at CA – What’s Cooking? Project Jarvis

1. World®
’16
Tech Talk: Analytics at CA –
What’s Cooking? Project Jarvis
Joav Bally - Vice President, Analytics - CA Technologies
IET03T
CA ACCELERATOR

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© 2016 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
The content provided in this CA World 2016 presentation is intended for informational purposes only and does not form any type of
warranty. The information provided by a CA partner and/or CA customer has not been reviewed for accuracy by CA.
For Informational Purposes Only
Terms of this Presentation

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Abstract
Data is everywhere, but is your data “talking” you? Does it provide you the insights you need
when you need them? Join us to discover CA’s vision of analytics – Project Jarvis. The session
covers the concept, strategy, architecture and use cases to enable the next generation of
analytics capabilities within CA's offerings. The data driven apps driven by Project Jarvis enable
our customers to make better business decisions. Learn about other CA products that leverage
Project Jarvis to offer enhanced analytics capabilities.
Joav
Bally
CA Technologies
Vice President,
Analytics

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About CA Accelerator
“Enterprise startups”
CA’s innovation engine
Visit ca.com/accelerator

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Lifting the Burden
DATA-DRIVEN
APPLICATIONS*
ANALYTICAL
TOOLS and SKILLS
IN-HOUSE
DATA SCIENCE
IN-HOUSE
DOMAIN EXPERTISE
+
+
YOUR BURDEN OUR ALTERNATIVE
*Fueled by
advanced
analytics,
algorithms,
machine
learning...

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CA Analytics is a Common Technology Component
Best of Breed Open
Source Technologies
(Hadoop, Spark, Kafka, Elasticsearch)
Industry Proven Architecture
(Lambda and Micro Services)
Single Code Line, Multiple
Deployment Options
(Cloud, On Prem, Mainframe)
Encapsulated Complex
Technology through Simple
Consumable Interfaces
(RESTful APIs)
CA Analytics

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CA’s Analytics Reference Architecture
Data Collectors
Data Aggregator
Agents
…
Probes
Machine/Log File Data
Data-Driven Apps
Existing CA Apps
Custom-build Apps
New CA Apps
Partner Apps
Analytics Engine
Data Injection API
Data Access API
Service
Layer
Data Extraction
Data Processing (Speed)
Data Processing (Batch)
Data Bus
Project Jarvis

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Project Jarvis – Implementation Technologies for
Reference Architecture
Data Collectors
Data Aggregator
Agents
…
Probes
Machine/Log File Data
Data-Driven Apps
Existing CA Apps
Custom-build Apps
New CA Apps
Partner Apps
Analytics Engine
Data Injection API
Data Access API
Service
Layer
Data Extraction
Data Processing (Speed)
Data Processing (Batch)
Data Bus

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Jarvis – Key Capabilities
§ Multi-Product and Multi-Tenant
§ Based on Lambda Architecture
§ Instance Level Data Storage
§ Batch Layer for deep computation
§ Speed layer for near real-time computation
§ Service Layer for UI Visualization
§ Pluggable Data Science Compute Platform

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Demo

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“Share a challenge” with the experts
Ash Maurya
Innovation expert and
author of Scaling Lean
CA Accelerator Zone Highlights
*Thursday 12:15 – 1:30
First 250 attendees receive a free
signed copy
Questions?
Book signing with Ash Maurya

12. Stay connected at communities.ca.com
Thank you.

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For more information on the CA Accelerator, please visit:
http://ca.com/accelerator