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Grab coffee & enjoy pre-show banter
- 1. Grab some coffee and enjoy the pre-show banter before the top of the hour!
- 2. The Briefing Room All Together Now: Connected Analytics for the Internet of Everything
- 3. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com @eric_kavanagh
- 4. Twitter Tag: #briefr The Briefing Room Reveal the essential characteristics of enterprise software, good and bad Provide a forum for detailed analysis of today s innovative technologies Give vendors a chance to explain their product to savvy analysts Allow audience members to pose serious questions... and get answers! Mission
- 5. Twitter Tag: #briefr The Briefing Room Topics August: REAL-TIME DATA September: HADOOP 2.0 October: DATA MANAGEMENT
- 6. Twitter Tag: #briefr The Briefing Room Outside In Ø Centrifugal Reality Ø Responsiveness Required Ø Customization Paramount Ø Context is King
- 7. Twitter Tag: #briefr The Briefing Room Analyst: Mark Madsen Mark Madsen is president of Third Nature, a technology research and consulting firm focused on business intelligence, data integration and data management. Mark is an award-winning author, architect and CTO whose work has been featured in numerous industry publications. Over the past ten years Mark received awards for his work from the American Productivity & Quality Center, TDWI, and the Smithsonian Institute. He is an international speaker, a contributor to Forbes Online and on the O’Reilly Strata program committee. For more information or to contact Mark, follow @markmadsen on Twitter or visit http:// ThirdNature.net
- 8. Twitter Tag: #briefr The Briefing Room Cisco Cisco Systems is a known leader in the design, manufacturing and sales of networking equipment Cisco offers Connected Analytics, a comprehensive platform designed to deliver a complete infrastructure for streaming analytics The platform supports open APIs for custom solutions and application development
- 9. Twitter Tag: #briefr The Briefing Room Guest: Kim Macpherson Kim Macpherson is the Director of Analytics Engineering in the Data and Analytics Business Unit at Cisco Systems. She is developing analytics technologies and architectures for devices and fog nodes for platforms, applications and solutions that deliver business value for infrastructure, operations and the line of business. She is contributing to Cisco’s software platform strategy by embedding analytics software into Cisco devices, creating analytics services and delivering analytics applications to service providers, enterprises and vertical industries through digitization and hyper- distributed processing. Kim joined Cisco via the 2012 acquisition of Truviso, Inc., a venture-funded startup company providing streaming real-time analytics, where Kim was Senior Vice President of Engineering and Business Operations. Before joining Cisco, Kim served as Vice President of Engineering for Consumer Security products at EMC and Vice President of Global Professional Services at RSA Security Systems.
- 10. Kim MacPherson August 18, 2015 Data and Analytics Briefing Room
- 11. 2© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Data & Analytics Unlock the Value in the Internet of Everything Data Monetization Customer Engagement Optimized Operations Organizational Effectiveness Threat Minimization Source: Cisco Consulting Services primary research, 2013 of the $19T IoE Opportunity over the Next 10 Years will be Realized Through Data & Analytics$7.3T
- 12. 3© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Getting insight from the Data is the Client’s Biggest Challenge Data Effectively capturing, storing, and analyzing data generated by connected “things” (e.g., machines, devices, equipment) Things Connecting the right “things” (e.g., machines, devices, equipment) to capture useful data Process Updating our business and operational processes to benefit from IoT solutions People Enabling workers to effectively use IoT solutions through means such as training and providing user-friendly systems 1230 Respondents Source: Cisco Consulting Services Global IoT Study, 2014 20% 27% 13% 40% In Which of the Following Areas Does Your Organization Need to Improve the Most to Make Effective Use of IoT Solutions?
- 13. 4© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Widely Distributed, Streaming, Short Shelf Life, Too Big to Move “Most data will be processed at the edge” (mobile devices, appliances, routers) Digital Enterprises See an Explosion of Data at the Edge Three years from now, where will most data generated by IoT solutions be processed? 1230 respondentsSource: Cisco Consulting Services Global IoT Study, 2014 37%
- 14. 5© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Connecting Diverse Types of Data is Required to Uncover the Most Valuable insight Structured Data Unstructured Data Data Streaming at the Edge Traditional Data Warehouse Big Data Store
- 15. 6© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential However, a New Approach is Needed to Reach and Analyze That Data Structured Data Unstructured Data Data Streaming at the Edge Traditional Data Warehouse Big Data Store Analytics 1.0 Analytics 2.0 Hours/Minutes/SecondsDays/Hours Analytics 3.0 Seconds/Milliseconds
- 16. 7© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Operational ConsistencyData Mobility Optimized Form Factors UCS Mini UCS Mini UCS for Enterprise UCS for Hadoop Nexus Family ISR APIC EM APMS CGR IE Video Cloud Services and Applications Partner Clouds Intercloud Fog & EdgeCore Data Center Only Cisco Delivers the Connected Infrastructure You Need to Reach from the Data Center to the Edge
- 17. 8© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Integrated Infrastructure From Data Center to Edge On-Demand Performance & Scalability Integrated Security Unified Management Providing End-to-end Consistency, Performance, and Security Across Analytic Applications Data Center to Edge Analytics Infrastructure, Lowest Analytics TCO
- 18. 9© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential We are Investing in Three Ways to Turn Data from Connected Infrastructure into Extraordinary Outcomes Real-time Connected Solutions3 Analytics Packages for Optimized Infrastructure 2 Agile & Pervasive Data Access1 Network Collaboration Contact Center Video Sensor-based Real-time Location / Mobility Energy Management Threat Analytics from Core Cisco Competencies
- 19. 10© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Cisco Solution Support Services Cisco Advanced Services Data Science Services Partner Designed Solutions Cisco Consulting Services Streaming Analytics Intellectual CapitalData Virtualization Work-load Automation Agile & Pervasive Data Access Integrated Infrastructure and Networking Big Data & Analytics Ready Infrastructure Real-time Connected Solutions Connected Analytics for Events Connected Analytics for IT Connected Analytics for Retail Connected Analytics for SP Analytics Packages for Optimized Infrastructure Cisco Connected Analytics for the Internet of Everything 1 3 Contact Center Video Analytics Threat Analytics Location Analytics Collaboration Analytics Network Analytics Energy Analytics 2 NEW NEW Devices Wi-Fi Video POS Sensors Social3G/4G Access Wired | Small Cell | Wi-Fi Data Center | Intercloud Core/Edge | IoT | IoX Mobile Packet Core/SON I Unified Communication Collaboration | Contact Center
- 20. 11© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Integrated Streaming query processing supports active, continuous monitoring of live data. Get instantaneous real-time analysis and action, and efficient use of compute resources. Scalable Offers the framework and interfaces for use case development across a wide variety of business and network management functions and industries. React intelligently Provides real-time insights with Big Data views to support actionable events and dynamic dashboards to help you get more value out of your data. What is Cisco Connected Streaming Analytics? An analytics platform delivering predictive, actionable insights in high velocity streams of live data from multiple sources, enabling real-time governance and immediate actions. It adapts to customer environments and use cases for a wide range of industries and business applications.
- 21. 12© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Ultra-fast performance, real-time analytics for multiple data sources Flexible data integration framework including infrastructure-ready adapters Customizable live dashboards and reporting framework that let you look at data your way Reliability with high availability, failover, and online backup and restore A variety of deployment architectures for cloud, data center and fog Cisco Connected Streaming Analytics Offers Seamless persistent data management for historical reporting, big data integration
- 22. 13© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential • Dynamic dashboards • Real-time trending • Predictive analytics integration • Continuous queries • Event generation • Combine information from network and applications • Seamlessly query live and historic data • Historic reporting framework • Complex queries from fact streams and dimensional data • North/south and east/west interfaces for customization • Multivendor extensibility Cisco Connected Streaming Analytics Drives Big Data FlexibilityReal-Time
- 23. 14© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Value of Real-Time Connected Streaming Analytics … Enabling closed-loop use cases: Make it actionable in real time Make it scale without sacrificing latency Integrate advanced predictive analytics and machine learning Transparently combine both live and historic data Collect Analyze Alert and store Adjust Make your data work for you Usage data
- 24. 15© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Real-time Streaming Analytics • Mine (fetch) • Analyze • ReportUsage Data ! Generate an Actionable Event that is sent to the Policy System, Management System, etc. to allow immediate control Next Generation Analytics Applies predicates, aggregations, and joins with metadata tables and contextual data to identify and match trends. Querybase Waiting for Data Store raw data or filtered data for further mining. Database Waiting for Queries Store raw data for further mining. Traditional Analytics Model Store first, and query later. Usage Data • Mine (fetch) • Analyze • Report
- 25. 16© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Alerts Predictive Pattern Detection Aggregation engine for pre-computation and reporting Massive data reduction Connected Streaming Analytics Capabilities Live Data Expertise Decouple “Data Processing” from “Result Consumption” Immediate Consumption True real-time streaming analytics Delayed Consumption Heavy lifting in real time Pre-aggregated results on demand High-cardinality analytics: Internet-scale dimensions • Compressed bitmap aggregates for uniques • Per-actor analysisLocation Deviations based on history, thresholds and cohort analysis Dynamic model scoring, classification and categorizing Finding patterns and detecting complex events High-performance spatial indexing
- 26. 17© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Prebuilt Adapters Available & Framework to easily create other adapters Business Data Operations Data Infrastructure Data Sensor Data Analytics for Streaming & Historical Data Multiple Data Sources Continuous & Interactive Query Processing over Streaming & Historical Data Intelligent Actions / Events XML, alarms … Customizable visualizations
- 27. 18© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Sample Cisco Streaming Analytics Dashboard Customizable Dashboards Look at the Data Your Way Live and Historical Dashboards • Web-based drag and drop dashboard design including rich navigation, drilling and a library of filter controls. • Custom build dashboards uniquely tailored for your business. • Portal and mash-up integration seamlessly connects business analytics with other applications.
- 28. 19© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Historical Reporting Capabilities • Self-service report creation allows you to easily select data; sort, filter, and group data; and generate reports from a web browser (prepackaged sample reports are provided) • Reporting administration capabilities include: ̶ Export to PDF, CSV, XLS, and other formats ̶ Report scheduling ̶ Publishing by email or on a local server • Customization: Drag-and-drop report creation and impromptu reporting
- 29. 20© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Customization and Application Building • Cisco Connected Streaming Analytics supports open APIs and commercial database methodologies to develop solutions and custom applications • Developers can use commercial tools and standard APIs such as SQL, XML, and Java to develop use cases, applications, and system integrations • Cisco knows the infrastructure data, and enterprises and service providers know their business data Each organization is unique and has it’s own specific analytics needs: • Use Cases • Data sources • Customers • Infrastructure
- 30. 21© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Use Case - Mobility KPI Dashboard Connected Analytics for Mobility (CAM) • Unique and new clients trend analysis by date, week or month • Real-time active session information in real-time to identify network usage pattern or manage promotional programs • Authenticated vs. unauthenticated associations to identify potential customers • At-a-glance information on total data usage to identify network anomaly or usage spikes • Drill down for further analysis Product currently under development. Actual Production UI may vary.
- 31. 22© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Use Case - Shopper Insights: Dwell Time Analysis Connected Analytics for Retail (CAR) Shopper insights create competitive advantage for retailers- shows where, how and why buyers make decisions on path to purchase • Measure shopper engagement with product and promo displays • Insights into store areas where shoppers spend most time
- 32. 23© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential What can you do? • Correlate information from multiple sources to derive best representation of what is occurring in your stadium • Customer Behavior Analytics, Attendance Trends & Wi- Fi Body Language of your Fans Benefits: • Unprecedented insight & trends into your Fans • Better understanding of who your Fans are • Measure sponsor & advertisement impact and response Use Case - Fan Behavior and Device Usage Connected Analytics for Events (CAE) Product currently under development. Actual Production UI may vary.
- 33. 24© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Horizontally & hierarchically scalable yet embeddable Integrate advanced predictive analytics and machine learning Immediate Insight: True real-time with low-latency Data acquisition & mediation from the Internet of Everything Blends live & historical sources from Big Data ecosystem Open APIs and highly customizable: SQL, R, JDBC etc. Connected Streaming Analytics Advantage
- 34. 25© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Want to learn more? Register and attend: Cisco Data and Analytics Conference October 20-22, Chicago Hilton http://cisco.com/go/daconf Kim MacPherson, Cisco Dir. Engineering, Data and Analytics kimacphe@cisco.com
- 36. Twitter Tag: #briefr The Briefing Room Perceptions & Questions Analyst: Mark Madsen
- 37. 11 All Together Now: Connected Analy4cs for the Internet of Everything Analyst comments August, 2015 Mark Madsen Third Nature @markmadsen
- 38. Copyright Third Nature, Inc. The data warehouse. More of a CostCo, really. Came about in a pre-‐event streaming market
- 39. Copyright Third Nature, Inc. Core idea: centralize: that solves all problems! But there are tradeoffs: Creates bottlenecks Causes scale problems Enforces a single model Injects latency
- 40. Copyright Third Nature, Inc. New terminology: Data is the new oil
- 41. Copyright Third Nature, Inc. New terminology: Data Exhaust
- 42. Copyright Third Nature, Inc. New terminology: the data lake
- 43. Copyright Third Nature, Inc. There is a different assump4on with these terms “Data isn’t something we make, it’s just there.” But the prevailing model for management and use is sJll “centralize”
- 44. Copyright Third Nature, Inc. There is a different assump4on with these terms “Data isn’t something we make, it’s just there.” But the prevailing model for management and use is sJll “centralize” This won’t work
- 45. Copyright Third Nature, Inc. In a mostly-‐connected world, events occur in different 4me frames, follow different cycles of use 19 Source: Noumenal Disconnected Milliseconds Minutes Hours+
- 46. Copyright Third Nature, Inc. In a mostly-‐connected world, events occur in different 4me frames, follow different cycles of use 20 Source: Noumenal Disconnected Every event is persisted for some period of Jme before it is forgoRen or forwarded Milliseconds Minutes Hours+
- 47. Copyright Third Nature, Inc. In a mostly-‐connected world, events occur in different 4me frames, follow different cycles of use 21 Source: Noumenal Disconnected Local context and control, local decisions, local latency Milliseconds Minutes Hours+
- 48. Copyright Third Nature, Inc. In a mostly-‐connected world, events occur in different 4me frames, follow different cycles of use 22 Disconnected Source: Noumenal Milliseconds Minutes Hours+ Bigger context, likely correlated, more complex rules, external monitoring
- 49. Copyright Third Nature, Inc. In a mostly-‐connected world, events occur in different 4me frames, follow different cycles of use 23 Disconnected Source: Noumenal Milliseconds Minutes Hours+ Broad context, human intervenJon, diagnosis and analyJcal tasks that have to be coordinated.
- 50. Copyright Third Nature, Inc. In a mostly-‐connected world, events occur in different 4me frames, follow different cycles of use 24 Disconnected Source: Noumenal Milliseconds Minutes Hours+ Data lives in mulJple places, at mulJple levels of detail, for differing duraJons. Unlikely to all be in one place. Nor should it be.
- 51. Copyright Third Nature, Inc. Flowing Persisted Sliding window of “now” Persisted but not yet loaded into a platform Queryable history Managed history Streaming isn’t either-‐or, it’s part of IT architecture A DB can get you to within minutes (at large scale) but it won’t be easy or cheap, mainly lives in the realm of history Event streams, in-mem stores, CEP streaming SQL can be used for these Real time monitoring doesn’t use only real time data: windows, restarts, detecting deviation, so the above boundaries are crossed. ESB Cache/Queue Database / platform
- 52. Copyright Third Nature, Inc. Stream If you want to do real4me and s4ll manage your data effec4vely then you need to rethink data architecture Collect Refine Manage Deliver Flowing Managed historyPersisted Microservices Metadata Metadata & reuse? Flow, persisted, managed define different access, processing, storage and retrieval requirements
- 53. Copyright Third Nature, Inc. Rethinking soLware and data architectures is required. Enterprise IT needs to be renovated.
- 54. Twitter Tag: #briefr The Briefing Room
- 55. Twitter Tag: #briefr The Briefing Room Upcoming Topics www.insideanalysis.com August: REAL-TIME DATA September: HADOOP 2.0 October: DATA MANAGEMENT
- 56. Twitter Tag: #briefr The Briefing Room THANK YOU for your ATTENTION! Some images provided courtesy of Wikimedia Commons and http://lylawarren.com/2012/06/denver-comic-con/