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Real-time Streaming
Analytics
Business Value, Use Cases and
Architectural Considerations
Big Data Solutions and Services P...
Picture your house
2
What if this was happening now
to your home ?
3 Recorded version available at http://bit.ly/1i6OrwR
When do you want to know ?
4
Later
or
Now ?
Recorded version available at http://bit.ly/1i6OrwR
Your best buddy from school
You haven’t met in years
5
Recorded version available at http://bit.ly/1i6OrwR
Is in Vegas same time as you
Your
buddy
Your
buddy
YouYou
6
Recorded version available at http://bit.ly/1i6OrwR
When do you want to know ?
After you return
or
NOW ?
7
Recorded version available at http://bit.ly/1i6OrwR
• Whether individual or Business
• Important things are always happening NOW
• NOW is the ONLY time life REALLY happens
• ...
Topics we will cover today
Why ?
Business Value
What ?
Is Real-time Streaming Analytics and what it is not
How?
Architectu...
What it is NOT
• Quick-response interactive analytics on static data
• Batch processing
• Could be close but still NOT – M...
• Data analyzed in motion – as it arrives
• Routine: Monitoring, Counting, Alerting, Reporting
• Complex Decision Making w...
Real time vs. Batch analytics
Sec
/
ms
Sec
/
ms
Sec
/
ms
Sec
/
ms
BATCHBATCH
Real timeReal time
12
Recorded version availa...
13
Topics we will cover today
Why ?
Business Value
What ?
Is Real-time Streaming Analytics and what it is not
How?
Architectu...
Business Value
Diminishes with the age of data
The drop is non-linear
$$$ ?
Before
• Predictive analytics based on current...
• Routine business operations (Real time systems)
• Cutting preventable losses
• Finding and monetizing missed opportuniti...
Topics we will cover today
Why ?
Business Value
What ?
Is Real-time Streaming Analytics and what it is not
How?
Architectu...
Routine Operations
(RT systems)
• Manufacturing – Control Systems (Closed loop)
• IT - Systems & Network Monitoring
• Fiel...
Cutting Preventable Losses
• MH 370 – Loss of lives and assets
• GM – Manufacturing defects
• Target – Major Security brea...
Cutting Preventable Losses (2)
• Medical / Clinical – Complex analytics in ICU
• Disaster Warning Systems: Chile / Sandy
•...
Missed Opportunities - Revenue
• Customer Service always happens in real-time
• Listening and Learning from customers (Soc...
Missed Opportunities - Efficiency
• Operational Efficiency of systems or processes
• Network Optimization for cost, qualit...
New Opportunities
• Tractors are becoming soil sensors
• Information service to farmers
• Nike – becoming a healthcare com...
Business Value of RTSA Summary
24
Recorded version available at http://bit.ly/1i6OrwR
Topics we will cover today
Why ?
Business Value
What ?
Is Real-time Streaming Analytics and what it is not
How ?
Architect...
Architectural Considerations
(1/3)
ALWAYS
ACCURATELY
APPROPRIATELY
26
Recorded version available at http://bit.ly/1i6OrwR
Real time + Batch Analytics
27
Recorded version available at http://bit.ly/1i6OrwR
Real time + Batch Analytics
28
Recorded version available at http://bit.ly/1i6OrwR
Real time + Batch Analytics
29
Recorded version available at http://bit.ly/1i6OrwR
Real time + Batch Analytics
30
Recorded version available at http://bit.ly/1i6OrwR
Real time + Batch Analytics
31
Recorded version available at http://bit.ly/1i6OrwR
Real-time streaming
analytics pipeline and flow
32
Recorded version available at http://bit.ly/1i6OrwR
Real-time streaming
analytics pipeline and flow
Scale and Robustness
Reliability - Guarantees
Publish-Subscribe
Flexibilit...
StreamAnalytix
34
Recorded version available at http://bit.ly/1i6OrwR
•Proprietary platforms
• Vendor lock-in
• No leverage of open source movement
•Do it yourself
• Open source stitch up
• In...
• An “App Server” for real-time apps
• Based on best-of-breed Open source
• Focus on your Business logic leave infrastruct...
Topics we will cover today
Why ?
Business Value
What ?
Is Real time streaming anaytics and what it is not
How?
Architectur...
• Important things are always happening NOW
• Maximize data value  process and act sooner!
• There is value – find it  I...
• Get Real time streaming analytics in your roadmap
• Talk to experienced peers and consultants
• Start now with opportuni...
Topics we will cover today
Why ?
Business Value
What ?
Is Real time streaming anaytics and what it is not
How?
Architectur...
Big Data Solutions and Services partner for Enterprises
Request a demo of StreamAnalytix
bigdata@impetus.com
41
Recorded v...
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Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations: Impetus Webinar

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Impetus webcast ‘Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations’ available at http://bit.ly/1i6OrwR

The webinar talks about-
• How business value is preserved and enhanced using Real-time Streaming Analytics with numerous use-cases in different industry verticals
• Technical considerations for IT leaders and implementation teams looking to integrate Real-time Streaming Analytics into enterprise architecture roadmap
• Recommendations for making Real-time Streaming Analytics – real – in your enterprise
• Impetus StreamAnalytix – an enterprise ready platform for Real-time Streaming Analytics

Published in: Technology, Business
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  • TITLE: Real-time Streaming Analytics – Business Value, Use Cases and Architectural Considerations
    Speaker: Anand Venugopal, Sr. Director of Business Development
    Abstract: As IT and line-of-business executives begin to operationalize Hadoop and MPP based batch big data analytics, it's time to begin to understand and prepare for the next wave of innovation in data processing—Analytics over real-time streaming data. This session will provide an overview and discussion on the business value, use cases and architectural considerations of integrating real-time streaming analytics into your Enterprise Big Data roadmap.
  • TITLE: Real-time Streaming Analytics – Business Value, Use Cases and Architectural Considerations
    Speaker: Anand Venugopal, Sr. Director of Business Development
    Abstract: As IT and line-of-business executives begin to operationalize Hadoop and MPP based batch big data analytics, it's time to begin to understand and prepare for the next wave of innovation in data processing—Analytics over real-time streaming data. This session will provide an overview and discussion on the business value, use cases and architectural considerations of integrating real-time streaming analytics into your Enterprise Big Data roadmap.
  • Transcript of "Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations: Impetus Webinar"

    1. 1. Real-time Streaming Analytics Business Value, Use Cases and Architectural Considerations Big Data Solutions and Services Partner for Enterprises Anand Venugopal – Sr. Director Business Development Big Data Solutions 1 Yue Cathy Chang – Sr. Director Business Development Alliances and Partnerships
    2. 2. Picture your house 2
    3. 3. What if this was happening now to your home ? 3 Recorded version available at http://bit.ly/1i6OrwR
    4. 4. When do you want to know ? 4 Later or Now ? Recorded version available at http://bit.ly/1i6OrwR
    5. 5. Your best buddy from school You haven’t met in years 5 Recorded version available at http://bit.ly/1i6OrwR
    6. 6. Is in Vegas same time as you Your buddy Your buddy YouYou 6 Recorded version available at http://bit.ly/1i6OrwR
    7. 7. When do you want to know ? After you return or NOW ? 7 Recorded version available at http://bit.ly/1i6OrwR
    8. 8. • Whether individual or Business • Important things are always happening NOW • NOW is the ONLY time life REALLY happens • Maximize data value  process and act sooner! Life is happening NOW Real-time insight preserves or creates value 8
    9. 9. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 9 Recorded version available at http://bit.ly/1i6OrwR
    10. 10. What it is NOT • Quick-response interactive analytics on static data • Batch processing • Could be close but still NOT – Micro Batch processing What is Real-time Streaming Analytics ? 10 Recorded version available at http://bit.ly/1i6OrwR
    11. 11. • Data analyzed in motion – as it arrives • Routine: Monitoring, Counting, Alerting, Reporting • Complex Decision Making with Predictive analytics • Every incoming event is distinctly processible • Receive, Inspect, Analyse, Store, Distribute • Events may be stored later or in parallel • Immediate actions possible after processing What is Real-time Streaming Analytics ? 11 Recorded version available at http://bit.ly/1i6OrwR
    12. 12. Real time vs. Batch analytics Sec / ms Sec / ms Sec / ms Sec / ms BATCHBATCH Real timeReal time 12 Recorded version available at http://bit.ly/1i6OrwR
    13. 13. 13
    14. 14. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 14 Recorded version available at http://bit.ly/1i6OrwR
    15. 15. Business Value Diminishes with the age of data The drop is non-linear $$$ ? Before • Predictive analytics based on current events • Value depends on accuracy $$ NOW • Real-time • Certainty is high – REAL • Value based on quick response $$$ Later • Descriptiv e • Diagnostic • Least value 15 Value of Data Age of Data
    16. 16. • Routine business operations (Real time systems) • Cutting preventable losses • Finding and monetizing missed opportunities • More revenue • Cost savings • Creating new opportunities • New Business models (Products, Services, Revenue) Business Value from RTSA 16 Recorded version available at http://bit.ly/1i6OrwR
    17. 17. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 17 Recorded version available at http://bit.ly/1i6OrwR
    18. 18. Routine Operations (RT systems) • Manufacturing – Control Systems (Closed loop) • IT - Systems & Network Monitoring • Field Assets Monitoring and Alerting • Trucks, Oil rigs, Vending machines, Radio towers • Financial Transactions Processing • Authentications, Validations, Fraud 18 Recorded version available at http://bit.ly/1i6OrwR
    19. 19. Cutting Preventable Losses • MH 370 – Loss of lives and assets • GM – Manufacturing defects • Target – Major Security breach • Stock Exchange Meltdown Many headline stories are failures in routine operations and were preventable losses 19 Recorded version available at http://bit.ly/1i6OrwR
    20. 20. Cutting Preventable Losses (2) • Medical / Clinical – Complex analytics in ICU • Disaster Warning Systems: Chile / Sandy • Brokerage - Fraudulent or Risky Trades • Preventive Maintenance – Machines, Plants • Customer Churn • Brand Reputation on Social Media 20 Recorded version available at http://bit.ly/1i6OrwR
    21. 21. Missed Opportunities - Revenue • Customer Service always happens in real-time • Listening and Learning from customers (Social) • Context sensitive inventory – Products, Ads • Recommend - Upsell – Cross-sell 21 Recorded version available at http://bit.ly/1i6OrwR
    22. 22. Missed Opportunities - Efficiency • Operational Efficiency of systems or processes • Network Optimization for cost, quality of service • Dynamic capacity management • Dynamic re-routing of traffic, cargo • Insurance Adjudication – Drone image analysis 22 Recorded version available at http://bit.ly/1i6OrwR
    23. 23. New Opportunities • Tractors are becoming soil sensors • Information service to farmers • Nike – becoming a healthcare company ?? • Quantified self movement • Telecom giants selling data and insights 23 Recorded version available at http://bit.ly/1i6OrwR
    24. 24. Business Value of RTSA Summary 24 Recorded version available at http://bit.ly/1i6OrwR
    25. 25. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How ? Architectural considerations Use cases Who and Where ? What next ? Recommendations 25 Recorded version available at http://bit.ly/1i6OrwR
    26. 26. Architectural Considerations (1/3) ALWAYS ACCURATELY APPROPRIATELY 26 Recorded version available at http://bit.ly/1i6OrwR
    27. 27. Real time + Batch Analytics 27 Recorded version available at http://bit.ly/1i6OrwR
    28. 28. Real time + Batch Analytics 28 Recorded version available at http://bit.ly/1i6OrwR
    29. 29. Real time + Batch Analytics 29 Recorded version available at http://bit.ly/1i6OrwR
    30. 30. Real time + Batch Analytics 30 Recorded version available at http://bit.ly/1i6OrwR
    31. 31. Real time + Batch Analytics 31 Recorded version available at http://bit.ly/1i6OrwR
    32. 32. Real-time streaming analytics pipeline and flow 32 Recorded version available at http://bit.ly/1i6OrwR
    33. 33. Real-time streaming analytics pipeline and flow Scale and Robustness Reliability - Guarantees Publish-Subscribe Flexibility – Dynamic Integration with Batch Loose Coupling Visualization Ease of Administration 33 Recorded version available at http://bit.ly/1i6OrwR
    34. 34. StreamAnalytix 34 Recorded version available at http://bit.ly/1i6OrwR
    35. 35. •Proprietary platforms • Vendor lock-in • No leverage of open source movement •Do it yourself • Open source stitch up • Integration and maintenance nightmare • Significant delays in time-to-market Approaches to Stream Analytics 35 Recorded version available at http://bit.ly/1i6OrwR
    36. 36. • An “App Server” for real-time apps • Based on best-of-breed Open source • Focus on your Business logic leave infrastructure to the platform • Handle all the 3V’s of Big Data in one platform • Seamless integration with Hadoop, NoSQL or any other DB • Rapidly operationalize pre-built analytical models or new ones • Significant time to market acceleration • Impetus provides full product support and professional services Introducing ‘StreamAnalytix’ 36 Recorded version available at http://bit.ly/1i6OrwR
    37. 37. Topics we will cover today Why ? Business Value What ? Is Real time streaming anaytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 37 Recorded version available at http://bit.ly/1i6OrwR
    38. 38. • Important things are always happening NOW • Maximize data value  process and act sooner! • There is value – find it  Improve Ops, Cut losses, Find missed & new opportunities • Architecture: Sense  Analyse  Act  Sense RECAP 38 Real time insight preserves and creates business value 38
    39. 39. • Get Real time streaming analytics in your roadmap • Talk to experienced peers and consultants • Start now with opportunities search, solution architecture and vendor conversations • Instrument (SENSE) everything – find gaps and fill • Prove value with “faster batch” with current infra is possible • Establish mechanisms to ACT on the insights • Close the loop – Sense and Analyse effectiveness • DO IT RECOMMENDATIONS 39 Recorded version available at http://bit.ly/1i6OrwR
    40. 40. Topics we will cover today Why ? Business Value What ? Is Real time streaming anaytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 40
    41. 41. Big Data Solutions and Services partner for Enterprises Request a demo of StreamAnalytix bigdata@impetus.com 41 Recorded version available at http://bit.ly/1i6OrwR @impetustech
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