Building a Data Integration Team
Skills, Requirements, and Solutions for Designing Integrations
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Beschreibung
Find the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both one-time migration and daily integration systems.
The growth of data is exploding. With multiple sources of information constantly arriving across enterprise systems, combining these systems into a single, cohesive, and documentable unit has become more important than ever. But the approach toward integration is much different than in other software disciplines, requiring the ability to code, collaborate, and disentangle complex business rules into a scalable model.
Data migrations and integrations can be complicated. In many cases, project teams save the actual migration for the last weekend of the project, and any issues can lead to missed deadlines or, at worst, corrupted data that needs tobe reconciled post-deployment. This book details how to plan strategically to avoid these last-minute risks as well as how to build the right solutions for future integration projects.
You will:
- Understand the “language” of integrations and how they relate in terms of priority and ownership
- Create valuable documents that lead your team from discovery to deployment
- Research the most important integration tools in the market today
- Monitor your error logs and see how the output increases the cycle of continuous improvement
- Market across the enterprise to provide valuable integration solutions
Find the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both one-time migration and daily integration systems.
The growth of data is exploding. With multiple sources of information constantly arriving across enterprise systems, combining these systems into a single, cohesive, and documentable unit has become more important than ever. But the approach toward integration is much different than in other software disciplines, requiring the ability to code, collaborate, and disentangle complex business rules into a scalable model.
Data migrations and integrations can be complicated. In many cases, project teams save the actual migration for the last weekend of the project, and any issues can lead to missed deadlines or, at worst, corrupted data that needs to be reconciled post-deployment. This book details how to plan strategically to avoid these last-minute risks as well as how to build the right solutions for future integration projects.
What You Will Learn
- Understand the “language” of integrations and how they relate in terms of priority and ownership
- Create valuable documents that lead your team from discovery to deployment
- Research the most important integration tools in the market today
- Monitor your error logs and see how the output increases the cycle of continuous improvement
- Market across the enterprise to provide valuable integration solutions
Who This Book Is For
The executive and integration team leaders who are building the corresponding practice. It is also for integration architects, developers, and business analysts who need additional familiarity with ETL tools, integration processes, and associated project deliverables.
Other technical guides focus on the use of a specific integration tool (ETL, scripting) rather than the actual framework itself—this book offers a strong foundation for promoting these tools and enhancing teamwork Educate business users on the nuances behind assigning the right staff to the right tasks Design the integration team with a strategic approach from the outset of a project rather than a last-minute afterthought
Autor*in
Jarrett Goldfedder
Themen in »Building a Data Integration Team«
Data Integration Data Migration Extraction, Transformation, and Load ETL Integration Team Source to Target Mapping Platform Automation Continous Improvement Model Data Roadmaps