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by Kevin Poskitt, Ginger Gatling
Managing Data Orchestration and Integration at Scale
1. Data Integration at Enterprise Scale
The Continuing Data Integration Challenge
Business Imperative for Data Integration
Enterprise Data Strategy
Hybrid Data Management
Role of Open Source Technologies with Data Integration
Challenges of Managing Multiple Open Source Stacks
Summary
2. Evolving from Data Integration to Data Orchestration with SAP Data Intelligence
Fundamental Architecture
From Data Integration to Data Orchestration
SAP Data
Non-SAP Data
Connectivity
Metadata Management: Data Catalog and Fact Sheet
Metadata Management: Business Understanding
Data Processing
Data Transforms
Processing Engines
Machine Learning Operationalization
Workflows
Summary
3. Examples of Data Orchestration at Scale in Complex Landscapes
Example 1: Predict Quality in Manufacturing Industry
Example 2: Extend the Usability of Complex Assets in the Utilities Industry
Example 3: Understand and Predict Consumer Behavior in Consumer Products Industry
Summary
So, What Should You Do Next?
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Managing Data Orchestration and Integration at Scale
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