IOT AND THE DATA-DRIVEN ENTERPRISE:

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1 IOT AND THE DATA-DRIVEN ENTERPRISE: HOW DEVICE DATA BECOMES A DRIVER IN YOUR PREDICTIVE ANALYTICS STRATEGY Bob Mahoney Business Development, Internet of Things, Red Hat Sid Sipes Sr. Director, Edge Computing, SAP February 16, 2016

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3 THE INTERNET OF THINGS What's driving enterprise IoT? Technology Explosive growth in connected devices Non-traditional interactions Machine to machine (M2M) Human to machine (H2M) Ubiquitous internet connectivity Affordable bandwidth Commoditized standardized hardware Microcontrollers Electronic sensors Advances in cloud computing Decrease cost of storing and processing data Standards based and open source software 3

4 THE INTERNET OF THINGS What's driving enterprise IoT? Business Economic gains New revenue streams from product innovations Regulatory compliance Efficiencies and productivity Lower costs Lower risks Ecological impact Customer satisfaction, ease of use 4

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9 BUILDING THE INTELLIGENT ENTERPRISE SMARTER TRAIN TECHNOLOGY GOAL: To prevent train-to-train collisions, overspeed derailments, improper movements, work zone incursions This project is highly complex. It introduces a reliability concept of 5 9s into the rail industry s wireless communication infrastructure, - Robert Turnbull, CEO, Meteorcomm. RESULTS: New architecture changed business approach, enabling the collection, transmission and transformation of data to automate actions and meet regulatory requirements. Additional value to rail customers: Increased safety, speed controls, predictive maintenance, efficiency improvements, reduced costs.

10 ABOUT RED HAT MORE THAN 90% of FORTUNE 500 COMPANIES use RED HAT PRODUCTS & SOLUTIONS. * PRODUCTS COVER 5 PRIMARY TECHNOLOGY AREAS CLOUD STORAGE OPERATING SYSTEM MIDDLEWARE VIRTUALIZATION AWARD-WINNING SOLUTIONS the FIRST 1DOLLAR BILLION OPEN SOURCE COMPANY In the WORLD Red Hat client data

11 WHAT WE DO We offer a range of mission-critical software and services covering: MIDDLEWARE APP DEV MOBILE OPERATING SYSTEM CLOUD VIRTUALIZATION STORAGE THE BENEFITS Flexibility Faster technology innovation Better quality Better price/performance Long-term deployment Better security assurance Shared development: Accelerated innovation Open collaboration: Products that meet customer needs Red Hat s open source technologies allowed us to solve problems with a real understanding of what is available to us rather than just taking a vendor s sales pitch. JOHN LIPTAK, principal architect, CenturyLink

12 MIDDLEWARE AND IOT Provide innovative solutions for dynamic business environments Scale elastically with fewer data bottlenecks Application integration Messaging Data virtualization Business rules processing for faster decision making Better collaboration between business and IT teams 12

13 RED HAT AND SAP: MORE THAN A DECADE OF INNOVATION 13

14 SAP AND EDGE PROCESSING Demand for edge processing continues to grow. By 2018, 40% of IoT-created data will be stored, processed, analyzed, and acted upon close to, or at the edge, of the network. - IDC Device connectivity and onboarding Device aggregation Offline operation collect device data while offline; uploading when connected Store reference and operational data locally for use by devices and applications, with bi-directional synchronization with the center Local Applications: Provide a full platform for local applications, including analytics and transactions, with good response time, even when connected to the center via low-bandwidth and even when temporarily disconnected Data reduction filter or sample or aggregate incoming device data, reducing the amount of data sent to the center. includes the ability to apply complex or dynamic filtering logic i.e. not limited to simple, static criteria. Immediate local response monitor incoming data, in real-time, to watch for conditions, trends, patterns, etc that require immediate response local alerting and response capabilities without reliance on being connected to the center when things happen reduce latency of response by eliminating the dependency on a round-trip to the center 14

15 SAP EDGE COMPUTE STRATEGY Simplifies and strengthens SAP platform offering with an Edge Offering Increases the reach and appeal of HCP and the HANA Platform by extending capabilities to the edge of the enterprise On-ramp to HCP: Easily acquire, process and deliver edge data to HCP Extend HCP services to the edge Focused on, but not limited to IoT Many high value use cases beyond IoT: TARS, shop floor computing, PoS, Provides SAP Customers the ability to operate in disconnected manner. Strategy is based on SAP SQL Anywhere combined with Partner Components Hardware, Operating System, Remote Management, Device & Bus Connectivity 15

16 THE INTERNET OF THINGS INFORMATION LIFECYCLE Information triggers pre-defined business rules INTELLIGENCE Actions driven from information Summarized information sent to back office for deep analysis INFORMATION Data analyzed to drive tactical action New rules created and pushed to business rules engine New data analysis optimizations KNOWLEDGE Information stored in DB and analyzed, yielding optimized tactical tools Field level data analysis DATA Data emitted from sensors, control panels, actuators, human interfaces, etc. Controlled and augmented by domain experts 16

17 THE INTERNET OF THINGS INFORMATION LIFECYCLE Information triggers pre-defined business rules INTELLIGENCE Actions driven from information Summarized information sent to back office for deep analysis SQL Anywhere INFORMATION Data analyzed to drive tactical action New rules created and pushed to business rules engine New data analysis optimizations KNOWLEDGE Information stored in DB and analyzed, yielding optimized tactical tools Field level data analysis DATA Data emitted from sensors, control panels, actuators, human interfaces, etc. Controlled and augmented by domain experts 17

18 TWO-TIER IOT ARCHITECTURE Two-tier architecture considerations Transmission costs paid by consumer Smaller amounts of data Analysis and response not critical Bandwidth and network transports not a concern Simple network communications No need for data summarization 18

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20 A THREE-TIER ARCHITECTURE FOR THE INTERNET OF THINGS Datacenter functionality Long-term data analytic Long-term control Rule creation Reporting Controller functionality Communications Data summary Real-time data analytics Real-time actions/rules End point functionality Communications Data acquisition 20

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22 WHAT IS SQL ANYWHERE AND WHERE DOES IT FIT? SQL Anywhere is a comprehensive suite of solu2ons that provides data management, synchroniza6on and data exchange technologies that enable the rapid development and deployment of database- powered applica6ons in embedded, small and medium businesses (SMB), and mobile environments. Small and medium enterprise Accoun2ng Administra2on Solu2on packages Phone systems Point of sale Remote office Store management Inventory control Mobile Traveling sales Field service worker Inspector IoT Edge Compute 22

23 SQL ANYWHERE IN THE INTERNET OF THINGS SQL Anywhere provides a secure data component for storage, and analysis of data on the edge of a network It is supported on a wide variety of platforms including Linux ARM, and ios/ Android Can be embedded directly into edge device and edge gateways to provide advanced data capabilities Integrates and synchronizes directly with SAP HANA through HANA RDSync RDSync can synchronize many thousands of remote databases (IoT Gateways and devices) with a single SAP HANA instance 23

24 SQL ANYWHERE USES IN INTERNET OF THINGS Store-and-Forward architecture over unreliable networks Data is captured locally in SQL Anywhere, and then transmitted when connection is available Edge pre-processing of data Large volumes of data may be preprocessed by SQL Anywhere before transmitting to HANA Direct Edge decision making and action Sophisticated edge analytics functions means that edge data may be processed directly in SQL Anywhere and acted on directly at the edge Edge decision making may be based on general data (e.g. heuristic values) synchronized from HANAA Advanced Data Analysis required at Edge Support for advanced data analysis (geospatial data, full text analysis, etc) at the edge of a network or in IoT Gateway 24

25 RED HAT / SAP RETAIL ARCHITECTURE IOT SENSOR INPUTS Beacons Video heat mapping Location tracking SQL Anywhere Retail Application SAP HANA CLOUD PLATFORM RDSync HANA 25

26 SOMETHING NEW? NO SAP HAS LONG BEEN AT THE FOREFRONT OF EDGE COMPUTE WITH SQL ANYWHERE AND HANA RDSYNC FOR IOT SQL Anywhere in IoT Gateway HANA RDSync Secure bi-directional, structured data synchronization across unreliable networks Synchronizes many thousands of remote databases with a single back-end server RDSync Server SAP HANA Business Suite Sensors and Actuators (aka. things ) HTTP(S) HANA Landscape File system SQL Anywhere Server Enterprise-caliber database for embedded and frontline environments Rich SQL support for OLTP and OLAP applications 26

27 SAP RED HAT EDGE COMPUTING VALUE Integrate best of breed technologies from both Red Hat and SAP to turn data into actionable intelligence Hana Cloud Platform for analytics and Predictive Models Red Hat JBoss Middleware 27

28 FOR MORE INFORMATION Visit Visit Questions? 28

29 THANK YOU

30 INTELLIGENT GATEWAY Data acquisition, integration, and rules activation, providing dynamic intelligence at the edge Bridge between IT and OT by streamlining the many data formats and velocities Process and act on data at scale Reduce latency and bandwidth Apply real-time decisions locally Transform IoT data and connect with enterprise systems Control and manage millions of IoT devices 30