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The Industrial Internet, Data-as-a-service - Shankar Sengupta, GE Corporate, IT Executive - IVSZ MENTA 2015

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Szerver oldalon sincs egyszerű dolga a szolgáltatóknak, pár éve még elképzelhetetlen lett volna az a szerveres architektúra, amiket most építenek a szolgáltatók. Ahogyan az is elképzelhetetlen volt, hogy milliárdnyi adatot folyamatosan el kell érni, kezelni kell. Hol a határ?

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The Industrial Internet, Data-as-a-service - Shankar Sengupta, GE Corporate, IT Executive - IVSZ MENTA 2015

  1. 1. Shankar Sengupta – Executive Director, Industrial Data Lake
  2. 2. 5 GESoftware.com | @GESoftware | #IndustrialInternet
  3. 3. Case study – GE Aviation Asset productivity, minimize disruptions, improved forecasting 25 Airlines 3.4M Flights 340TB Data 10X Cost reduction 7 days Time-to-market for new analytic app 2000X Performance improvement  Isolate root causes  Identify sub-optimal performance parts  Minimize disruptions Note: Illustrative Aviation example based on Predix solution currently in development. Estimates based on data exploration, simulation and asset utilization models.
  4. 4. Industrial Big Data – fast and vast 50BMachines will be connected on the internet by 2020 2XIndustrial data growth within next 10 years *Sources: IDC, Ericsson, Wikibon, Fast Company, ComputerWeekly CRM, ERP, etc. Logs Social network data Geo-location data In practice only 3%of potentially useful data is tagged and even less is analyzed* 9MM Data points per hour for each locomotive 500GB Data per blade by gas turbines Sensor data Content (images, videos, manuals, etc.) Historian data Machine data 35GB Data per day from each Smart Meter 50X Data growth in healthcare (2012 – 2020) 1TB Data per flight
  5. 5. 12 GESoftware.com | @GESoftware | #IndustrialInternet 80% of an analytics project typically involves gathering and then preparing the data for analysis* Today’s approaches are not prepared for onslaught of Industrial Big Data *Source: IDC Too slow Too rigid Too expensive
  6. 6. All over the place Data across multiple locations Snapshot Limited to narrow snapshots and time Limited data types Mostly structured and semi-structured data types Logs Social network data Geo-location data CRM, ERP, etc. Yesterday’s data warehouse architecture TRADITIONAL DATA WAREHOUSE What is it telling me? How does it look? How is it doing? Data scientist Field operations Business analyst ONE STATIC DATA MODEL 1 2 3
  7. 7. All data Access to real-time data and historical data and not limited to snapshot of data Any data Handing of all data types including documents, images machine data, sensor data One place Access to all data in one place to quickly respond to the speed of business change 1 2 3 Rapid access to all data for analytics How long will it last without failures or maintenance? Is my asset ready when there is market opportunity? Is my asset performing optimally? How to configure for best operational results? FLEXIBLE DATA MODELS Industrial Data Lake architecture Underpinned by data governance appropriate to Business and Location INDUSTRIAL DATA LAKE Data scientist Field operations Business analyst Sensor data Content (images, videos, manuals, etc.) Machine data Historian data CRM, ERP, etc. Logs, click streams Geo- location data Social network data
  8. 8. Data Lake Consumption Patterns Integration & visualization Advanced Analytics Real-time analytics Use case patterns Search + API Structured Data Batch / CDC based replication Simple transformation w/ mastering Reporting tools Structured + Unstructured Batch / CDC based replication Machine Learning, Predictive Modeling Reporting tools & self discovery tools Structured + Unstructured Batch / CDC based replication Machine Learning, Predictive Modeling Search & API access to visualization Structured + Unstructured Real time ingestion Simple real time processing API based real time access 1 2 3 4
  9. 9. Thank you General Electric reserves the right to make changes in specifications and features, or discontinue the product or service described at any time, without notice or obligation. These materials do not constitute a representation, warranty or documentation regarding the product or service featured. Illustrations are provided for informational purposes, and your configuration may differ. This information does not constitute legal, financial, coding, or regulatory advice in connection with your use of the product or service. Please consult your professional advisors for any such advice. GE, the GE Monogram, Predix, Predictivity are trademarks of General Electric Company. ©2014 General Electric Company – All rights reserved.

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