TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity, Switzerland

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Today’s business managers depend heavily on data analysis and decision-speed information, raising the stakes for data integration. At the same time, the work of integrating data has become increasingly complex. The simple processes of extract, transform, and load (ETL) integration for structured enterprise data no longer meet the need. Unstructured data, big data, departmental data, end-user data, and external data all challenge old models for data integration. Meeting modern data integration challenges calls for data integration strategy and architecture.

Get ready to build reliable and adaptable data integration systems and to make the most of recent advances in data integration technologies by following the path of strategy first, architecture next, and then integration systems and technology.

BI, MDM, and data warehousing program and project managers; data integration architects, designers, and developers; data and technology architects.

The role, purpose, and issues of data integration strategy
How to fit unstructured data into integration strategy, architecture, and systems
How to use integration architecture and patterns to handle large volume data challenges
How to apply architecture and patterns for enterprise, departmental, and local data
How to select, mix-and-match, and apply several data integration methods including ETL, federated, service-oriented, and virtualized
Techniques to collect and manage data integration requirements
Tips and techniques for success throughout the data integration lifecycle—strategy, architecture, systems development, and operations

Module 1 - Data Integration Strategy

What Is Data Integration Strategy?
- Strategy Defined
- Data Integration Strategy Defined
Elements of Data Integration Strategy
- Data Consumers and Data Sources
- Data Integration Processes
- Data Stores
- Access and Navigation
- Control Objectives
- The Big Picture
Creating Data Integration Strategy
- Goals and States
- Analysis
Applied Data Integration Strategy
- Planning and Projects
- Data Governance

Module 2 - Data Integration Architecture

What Is Data Integration Architecture?
- Architecture Defined
- Data Integration Architecture Defined
Integration Patterns
- Methods of Information Sharing
- Shared Databases and Replication
- Gateways and Portals
- Entity Aggregation
- Data Services
- Data Services & Messaging
- Publish and Subscribe, File Transfer
- Virtualization
- Virtualization and Federation
Architecture Concepts and Components
- Constructs in Data Integration Architecture
- Reference Architecture

Module 3 - Creating Data Integration Architecture

Data Sources
- Source Systems
- Structural Variations
- Source Data Locations and Technologies
Data Flow
- Data Acquisition
- TDWI Data Integration Principles and Practices: Creating Information Unity from
- Data Disparity
- Data Integration Functions
- Data Stores
- Data Integration Methods
- Data Delivery
- Metadata Flow
Data Consumers
- People
- Applications
- Requirements
Architecture Design and Definition
- Define the End Points
- Structure the Middle
- Define Data Access
- Architecture Validation
Data Integration Approaches
- Many Types and Levels of Integration
- ETL/ELT
- Streaming
- o Virtualization
- Federation
- Big Data Integration
- Self-Service Integration
- Cloud Integration
- Hybrid Integration

Module 4 - Using Data Integration Architecture

Systems and Data Integration Architecture
- Existing Systems
- New Systems
Development and Data Integration Architecture
- Requirements Analysis
- Design and Construction
- Testing
Management and Data Integration Architecture
- Management and Governance
- Change Management
- Support and Operations
Next Steps
- What Will You Do Next?

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TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity Training Course in Switzerland

Switzerland, or officially known as the Swiss Confederation, is a federated country of central Europe. Because of its linguistic diversity, Switzerland is known by a variety of native names, such as Schweiz, Suisse, Svizzera and Svizra. While Bern is the administrative capital, Lausanne is the judicial centre of Switzerland. Zurich, Geneva and Basel are bases of some important international organisations such as the WTO, the WHO and FIFA. The country is well-known for its high welfare; Switzerland has the highest nominal wealth per adult.

Alongside the beautiful scenery, tourists visit Switzerland for the country's cultural attractions. There are many museums, galleries and historic buildings within popular cities such as Zurich, Geneva, and Lausanne. One of the most popular things to do is a train journey to the Top of Europe; Jungfraujoch. The longest glacier in Europe, the Great Aletsch Glacier begins at Jungfraujoch, and is also a UNESCO World Heritage Site.

Experience a paradigm shift in IT training with Bilginç IT Academy as we cater to the specific needs of Switzerland. Our training catalog showcases an array of Certification Exam preparation courses and accredited corporate training options, all delivered with innovative methodologies that will transform your learning journey.

TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity Training in Switzerland

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TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity Training in Switzerland

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