Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

For Developers : Real-Time Analytics on Data in Motion


Published on

InfoSphere Streams is an advanced computing platform that can quickly ingest, analyze and correlate information as it arrives from thousands of real-time sources.
IT professionals are being asked to do more with less and highly skilled resources are in demand. As streaming applications play a growing role in critical applications so does the need for simplicity. InfoSphere Streams empowers IT users of all types and skill levels to have deeper insights into operations and performance. In today’s engaged world, a five minute delay means business goes elsewhere. A new administration console, a Java Management Extensions (JMX) management and monitoring application programming interface (API), simpler security and adoption of Apache Zookeeper are now available in InfoSphere Streams

Published in: Data & Analytics
  • Be the first to comment

For Developers : Real-Time Analytics on Data in Motion

  1. 1. © 2014 IBM Corporation For Developers: Real-Time Analytics on Data in Motion Analyze More, Speed Actions, Store Less
  2. 2. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 2 • Core components • Choice of deployment methods • Cloud real-time analytics use case • Traditional Analytics to Real-Time Analytics • Application pattern • InfoSphere Streams Quick Start Edition • Developer Community • InfoSphere Streams open source project • Get start now • Learn more Agenda
  3. 3. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 3 Three core components of InfoSphere Streams Integrated Development Environment Scale-Out Runtime Analytic Toolkits Cloud and on premise available for flexible deployment Agile and Manageable Functional and OptimizedFlexible and Scalable
  4. 4. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 4 Work Orders Asset Status Inventory Planning Asset Management Enterprise Asset Management Asset Master Work History Example architecture – smart grid Data Consolidation Operations Guidance Capital Planning Operational Systems Real-time AnalyticsUnstructured Structured ETL/ELTandTxNReplication Historian Structured Data Pure Data for Analytics Big Insights Information Server Data in motion Data at rest Data in many forms RCM SCADA Condition Monitoring Trading Load Forecast Demand Response Operations Logs GIS Test and Inspection Bulletins PMU/PDC Weather/ Environment EAM Data Warehouse InfoSphere Streams iLog CPLEX ACQUIRE ANALYZE ACT Optimization Predictive Analytics Informix TimeSeries High Volume / High Velocity Events Scoring Models Aggregated Streaming Data Raw and composite measurements and events Control Signals Mathematical Optimization Constraints and Rule Definition Presentation: KPIs, Dashboards, and Drill-downs Business Analytics Statistical Analytics Decision Mgt Orchestration and Integration Pre and Post Processing Analytic Data Store Predictive Maintenance and Quality (PMQ) Geo- Spatial KPIs and Integrated Dash- boards Search/ Discovery Information Consolidation and Situational Awareness Intelligent Operations Center (IOC/IOW) Resource AllocationCorrelation and Optimization
  5. 5. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 55 InfoSphere Streams Your choice of infrastructure and deployment model IBM PowerIntel Servers On Cloud
  6. 6. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 6 5c45150-8023-4d3e-a3d4- 5a3a8ca8e407&fromCatalog=true Cloud deployment options  High performance ingestion and analysis of geospatial data  Dynamic dashboards and real- time, interactive mapping  Visualization of regions to monitor objects moving into, out of and inside a defined region  Sample applications to jump start your project  Delivered via IBM Bluemix  Real-time analytics when and where you need it  Faster and simplified systems management for IT users  Data driven decisions in real time to adapt and respond faster  Monthly or perpetual license available  Real-time analytics via the IBM Cloud Marketplace Geospatial Analytics restoreSearch=true#!overview IBM Streams on Cloud
  7. 7. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 77 Demand over time Capacity Customers face changing real-time requirements Industry Cloud real-time analytics use case Insurance Monitor unique sensor data such as temperature, wind and wave height, scaling up sophisticated analytics resources on the cloud during hurricane season instead of paying for resources all year. Benefit: Keeps more people safe while managing costs. Retail Deploy real-time analytics on the cloud during key marketing campaigns such as holiday sales and dynamically adjust resources to sales traffic. Benefit: Reduces costs and improves marketing effectiveness. Government Scale up cloud resources to increase surveillance monitoring and create social media watch lists during large public concerts or political events to find criminals hiding in the chatter. Benefit: Enables faster response times and better-informed first responders Automotive Send data from a connected car or other vehicle for real-time analytics to initiate actions such as automatically applying brakes, turning on windshield wipers, alerting emergency medical providers or notifying a dealer about engine trouble. Benefit: Helps promote safe driving; enhances customer satisfaction and loyalty Energy and utilities Use the cloud to increase real-time monitoring and analysis of distribution networks during severe weather like droughts or the “polar vortex” to optimize load, recommend energy conservation measures and costs. Benefit: Improve operational efficiency while managing costs
  8. 8. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 8 Shift from queries to real-time insight in context Ask Query Ask a question Find the data Analyze Store the data Is the analysis helpful? ??? Traditional Analytics Real-Time Analytics Fast Context Aware Analytics
  9. 9. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 9 InfoSphere Streams application pattern Ingest Prepare Detect and Predict Decide Act Store Transform Filter Correlate Aggregate Enrich Classification Patterns Anomalies Scoring Business Rules Conditional Logic Notify Publish Execute Visualize Sensors Social Machine Data Location Audio Video Text Warehouse, Hadoop, Operational Store, Files
  10. 10. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 10 InfoSphere Streams Quick Start Edition What is InfoSphere Streams Quick Start? – No charge, downloadable edition to allow you to experiment with stream computing – No time or data limitations for use on your unique use cases in non-production systems – Sophisticated analytics for large data sets; quickly ingest, analyze and correlate data – Comprehensive development tools and scale-out architecture to get up and running quickly, support available through forums & communities Download Now! VM Ware image & regular install available Video Tutorial Over 10,000 downloads
  11. 11. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 11 InfoSphere Streams Developer Community Discuss, Learn, Share Your direct channel to the InfoSphere Streams development team Engage across 5 key areas – Documentation: Get started, code articles/snippets, how to videos and more – Downloads: Links to the latest downloads – Get help: Online information and articles, post questions and get answers – Blogs: Read about the latest features and discuss feature usage and improvements – Events: Find an event near you, explore a complete calendar
  12. 12. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 12 InfoSphere Streams open source project Harness the energy of the open source community Empower developers to be more agile and faster – Easy customizations – Community resources and community growth – Ability to steer the direction of InfoSphere Streams product development Start faster with lower risk, begin with open source and extend – Support of IBM with the flexibility and speed of open source Increase the range and scope of big data applications New
  13. 13. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less Get the PDF: Chapter 1: Big Data at Rest and in Motion Chapter 2: In-Motion Use Cases Chapter 3: Program, Framework, or Platform Chapter 4: InfoSphere Streams Chapter 5: The InfoSphere Streams Ecosystem Chapter 6: Getting Started Appendix: Resources and References
  14. 14. © 2014 IBM Corporation Analyze More, Speed Actions, Store Less 14 Explore more on Stream Computing  InfoSphere Streams product website  IBM Context-Aware Stream Computing webpage  IBM Context-Aware Stream Computing on Big Data Hub  InfoSphere Streams developerWorks community  InfoSphere Streams Developer Community  InfoSphere Streams data sheet  InfoSphere Streams for industry alignment webpage Kimberly Madia @madiakc Avadhoot (Avi) Patwardhan @avi_patwardhan