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

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

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?
Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Finland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

04 tammikuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
14 tammikuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
04 tammikuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
14 tammikuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
14 helmikuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
22 helmikuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
04 maaliskuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
05 maaliskuuta 2025 (1 Day)
Helsinki, Espoo
Classroom / Virtual Classroom
TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

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