| 期刊全稱 | Building a Data Integration Team | | 期刊簡(jiǎn)稱 | Skills, Requirements | | 影響因子2023 | Jarrett Goldfedder | | 視頻video | http://file.papertrans.cn/192/191816/191816.mp4 | | 發(fā)行地址 | 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 enhan | | 圖書封面 |  | | 影響因子 | 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 “l(fā)anguage” of | | Pindex | Book 2020 |
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