managed in enterprises dr. daniel fasel, ceo ... · modern information platforms – how...
TRANSCRIPT
Modern Information Platforms – How
digitalization can be managed in enterprises
Dr. Daniel Fasel, CEO
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Content
• Data Driven Process• Modern Information Platform• Logical Layers
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Data Driven Process - Crime in New York City
• Application to predict crimes and to highlight dangerous places in New York City
• Evaluation which open data can improve prediction for crime• Open data, technologies and visualization• Data sources & methods
• Open crime data (Kernel Density Estimation)• Foursquare (Point of Interest)• Twitter (Text analysis and topic extraction for tweets at specific places)
• Logistic regression for prediction
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Data Driven Process- Architecture
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Quelle: Yang D., Heaney T., Tonon A., Wang L. and Cudré-Mauroux P. CrimeTelescope: Crime Hotspot Prediction based on Urban and Social Media Data Fusion, In Submission to Decision Support Systems 2017
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Modern Information Platform
• Heterogeneous multi-technology stack• Polyglot persistence of data• Agile and stable platform throughout technology changes• Modular platform• Reduces complexity for Operations• Map of technologies in a logical layer concept• Segregation of technologies • Multiple technologies in layers to fulfil different requirements
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Technology Layers
• Access• Processing• Governance & Security• Analytics• Storage• Ingestion
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Technology Layers Example
On-Premise
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Technology Layer Examples
Hybrid Cloud
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Logical Layers
• After the technology layers are defined, a logical layer concept is specified• Logical layers explain
• How data is integrated• How data is stored• How applications and labs are integrated• How governance is conducted• How security is applied
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Logical Layers
• Ingestion Data Feeds• Different sourcing requirements per source
• Raw Data Store• Keeps data as it is ingested from source feed• poly-structured store• Isolation and Security
• Canonical Store• Curate data• Multi Layer curation• Transforms raw data into information objects
• Data Lake• Raw Data Store & Canonical Store
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Logical Layers
• Labs• Environment for development and exploration• Walled environment• Data from external sources can be put in lab• Only accessible for limited user group
• Application• Industrialized environment for data applications• Well governed• Only consumes from Data Lake• Access via Consumer Layer
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Logical Layers
• Consumer• Defines the access strategies for Applications and Data Lake• Access Security
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Logical Layers
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