A Real-Time Version of the Truth
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The Briefing Room with Dez Blanchfield and Striim Living in the moment is often touted as solid advice for a happy life. The same can now be said for business. Thanks to a confluence of innovations, the practice of streaming analytics is fast becoming the gold standard for today's most innovative enterprises. Whether for real-time responsiveness, optimal operations, customer relations, or any number of use cases, the immediacy of analytics has taken a turn for the better. Register for this episode of The Briefing Room to hear Data Scientist Dez Blanchfield explain why streaming analytics is taking the enterprise by storm. He'll be briefed by Steve Wilkes of Striim, who will demonstrate how his company's platform was designed to leverage a new generation of information architectures. He'll show several use cases, including hybrid cloud, replication validation, and multi-log correlation, which can tackle a variety of business needs.
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A Real-Time Version of the Truth
- 1. Grab some coffee and enjoy the pre-show banter before the top of the hour! !
- 2. The Briefing Room A Real-Time Version of the Truth
- 4. u Reveal the essential characteristics of enterprise software, good and bad u Provide a forum for detailed analysis of today s innovative technologies u Give vendors a chance to explain their product to savvy analysts u Allow audience members to pose serious questions... and get answers! Mission
- 5. Topics September: DATA IN MOTION / STREAMING October: DISCOVERY / VISUALIZATION November: IoT
- 6. Go With the Flow u Streaming Analytics Saves Time & Money u A Real-Time Architecture Is Required u Focus on Solving Old Riddles in New Ways
- 7. Analyst Dez Blanchfield Data Scientist, The Bloor Group Dez.Blanchfield@bloorgroup.com @dez_blanchfield
- 8. Striim u Striim is a end-to-end streaming platform designed for data integration, operational intelligence and analytics u The platform provides real-time correlation across multiple streams and enables data enrichment on streaming data u Striim recently announced support for hybrid cloud environments and native Apache Kafka integration
- 9. Guest: Steve Wilkes Steve Wilkes, Founder and Chief Technology Officer, Striim Steve Wilkes is a life-long technologist, architect, and hands-on development executive. Prior to founding Striim, Steve was the senior director of the Advanced Technology Group at GoldenGate Software. Here he focused on data integration, and continued this role following the acquisition by Oracle, where he also took the lead for Oracle’s cloud data integration strategy. His earlier career included Senior Enterprise Architect at The Middleware Company, principal technologist at AltoWeb and a number of product development and consulting roles including Cap Gemini’s Advanced Technology Group. Steve has handled every role in the software lifecycle and most roles in a technology company at some point during his career. He still codes in multiple languages, often at the same time.
- 11. The Data Landscape Is Changing Human Machine Devices On-Premise Cloud Hybrid High Latency Low Latency Reactive Proactive What Where On-Disk In-Memory When How Why 2000 2020
- 12. Analytics is Changing database humans data warehouse
- 13. logs machines big data Analytics is Changing
- 16. Enterprise Infrastructure is Expanding • Enterprise Home of Apps and Data for Years • Cloud Promises Elastic Unlimited Scaling • IoT Brings High Momentum Data • Intersections are Interesting • Enterprise <-> Cloud • Intranet Of Things – Manufacturing – Healthcare – Retail • Consumer IoT • IoT Processing Everywhere Enterprise IoTCloud Hybrid Cloud Industrial IoT Fog IoT Cloud
- 17. And Requirements Are More Demanding Integrate Correlate Analyze Predict Monitor
- 18. Enterprise IoTCloud Hybrid Cloud Industrial IoT Fog IoT Cloud Streaming is the Foundation for All of This Integrate Correlate Analyze Predict Monitor In- Memory Streaming Integration & Analytics
- 19. Streaming In a Nutshell streaming platforms provide low-latency in- memory integration, processing, monitoring, and visualization of real-time data from all data sources across enterprise, cloud, and IoT for proactive analytics streaming platforms provide low-latency in- memory integration, processing, monitoring, and visualization of real-time data from all data sources across enterprise, cloud, and IoT for proactive analytics streaming platforms provide low-latency in- memory integration, processing, monitoring, and visualization of real-time data from all data sources across enterprise, cloud, and IoT for proactive analytics
- 20. Multiple Common Use Cases • Within Enterprise From Logs and Databases • Enterprise <-> Cloud including AWS, Azure, Google Real-Time Data Movement • Security & Fraud Monitoring • Replication Validation Multi-Log / Multi-Source Correlation • Manufacturing Monitoring and Quality Control • Location Services for Retail and Healthcare IoT & Edge Processing Hybrid Reliably Provide Current, Accurate and Complete Decision Data
- 22. Use Case I Themes Integration Enterprise Change Data Capture Analytics Visualization Correlation Monitoring
- 23. But You Want to Validate It is Working Correctly and Monitor It Source DB Target DB You Use a Database Replication Solution ReplicaCon Flow
- 24. You Want To See If TransacCons Make It From Source to Target Source DB Target DB Missing Data Is A Liability ReplicaCon Flow Missed TransacCons Or Are Somehow Missed And Never Make it to the Target
- 25. You Also Want to Monitor and Alert on the ReplicaCon Lag Source DB Target DB Replication Lag is Also a Risk ReplicaCon Flow ! 30s
- 26. CDC CDC You Use Change Data Capture to Read AcCvity From the Source and Target Source DB Target DB How It Works ReplicaCon Flow Windowing Continuous Queries Correlation And ConCnuous Queries Over Windows To Correlate TransacCons
- 27. CDC CDC Source DB Target DB How It Works ReplicaCon Flow Windowing Continuous Queries Correlation By CorrelaCng TransacCons CommiMed on The Source and The Target You Calculate the Lag for Matches And Alert on Missing TransacCons 2s 5s 30s
- 29. Non-Intrusive Monitoring of Replication Health Reduces Liability by Quickly Spotting Missed Transactions Reduces Risk By Real-Time Monitoring of End- to-End Lag Customer Benefits
- 31. Use Case II Themes Integration Enterprise Cloud Analytics IoT Visualization Correlation Monitoring
- 32. Real-Time Location For Multiple Industries • Track WIP in real- time • Track specialty tools • Track key engineering support Manufacturing • Emergency room equipment (x-ray machines) • Track patient location and wait time • Track critical physician skill set Healthcare • Track store inventory • Track employees • Reduce theft Retail • Track key parts • Access local parts inventory • Access parts maintenance history • Track key equipment Aviation
- 33. Health Care Specific Use Case Goals • Monitor Patient Visits • Prioritize Patients • Monitor Wait Times by Priority • Alert on Large Waits • Take Immediate Action • End Result – Reduce Wait
- 34. The Setup • Locators Are Place Around The Waiting Room • And Zones are Configured for Different Areas • When Patients Walk In • They are Given a Tag to Continuously Track Location • And the Time Spent in Each Zone is Recorded + + 2 Mins
- 38. The Whole Solution is a Fujitsu Partnership Rapid Response & Process Flow Data & Decision & Action & Notice & RecordLocation Badge & Tags Real-Time Monitoring & Tracking Data From Fujitsu Devices Alerts Triggering Automated Fujitsu Cloud Services With Everything Running On Fujitsu M10 Systems
- 39. Customer Benefits + Real-Time Location Monitoring Alerts for Waiting too Long Monitoring of Wait Times Automated Workflows
- 40. WHAT IS STRIIM?
- 41. Why Striim? We Handle the Hard Bits. CONTINUOUS COLLECTION SUPPORTING MULTIPLE SOURCES ADDRESSING SCALE, FAILURES DISTRIBUTED GRID / PERSISTENCE MANAGEMENT SHARDING / SCALING OVER LARGE STREAMING DATA VOLUMES DISTRIBUTED RESULTS CACHE HIGH READ THROUGHPUT INTEGRATION INTO MULTIPLE TARGETS AND DATA FORMATS REALTIME VISUALIZATION REALTIME ALERTS SIMPLE DECLARATIVE INTERFACE TO DELIVER DATA DRIVEN APPS Collect Process Deliver App Developers focus on business logic CONTINUOUS
- 42. Databases & Data Warehouses Messaging Big Data & NOSQL Cloud Files Databases Log files Sensors Messaging External Context Filtering Enrichment Aggregation Transformation Windowing Continuous Queries STREAMINGINTEGRATION Streaming CDC Parallel Log Collection Edge Processing Continuous Event Collection STREAMING INTELLIGENCE Alerts Results Real-time Dashboards CorrelationDetection Matching Triggers Streaming Integration & Analytics
- 43. Design Flows Analyze Deploy Visualize Monitor One Consistent Easy-to-Use Distributed Platform
- 44. Want To Know More? steve@striim.com @BXCellent www.striim.com
- 47. So Much Change - So Li6le Time In less than a life,me, data processing has gone from the punched card, to real-,me analy,cs • Decades to Years • Years to Months • Months to Days • Days to Hours • Hours to Seconds • Now everything is Real-;me
- 52. Customers And Digital DisrupIon • Celebrity Customer Experience & with a side order of Social • The FitBit generaIon of always-on & always tracking • Real-Ime everything - banking, bidding & recommendaIon engines • Cyber Security • Fraud DetecIon • EnIty ExtracIon • GeospaIal data by default • Permanently connected Mobile • The sheer scale & impact of the IoT & M2M
- 58. Upcoming Topics www.insideanalysis.com September: DATA IN MOTION / STREAMING October: DISCOVERY / VISUALIZATION November: IoT
- 59. THANK YOU for your ATTENTION! Some images provided courtesy of Wikimedia Commons