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Informationen zum Autor April Reeve has spent the last 25 years working as an enterprise architect and program manager, primarily for large financial services firms. Currently she is working for EMC Consulting as a Business Consultant in the Enterprise Information Management practice. April is an expert in multiple Data Management disciplines including Data Conversion, Data Warehousing, Business Intelligence, Master Data Management, Data Integration, and Data Governance. She is a regular speaker on Data Management topics at Industry conferences. Klappentext The average enterprise's computing environment is comprised of hundreds to thousands of disparate and changing computer systems that have been built, purchased, and acquired. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one system format to another when old systems are replaced and new systems are acquired.The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. As additional systems are added to an organization¿s portfolio, the complexity of the interfaces between the systems grows exponentially, making management of those interfaces overwhelming.This book will include the techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling a scalable architecture. Author April Reeve brings over two decades of experience and a built-in audience to present a vendor-neutral approach that can be understood by IT and business managers as well as programmers and architects. Readers will learn the different techniques, technologies, and best practices used to manage the passing of data between computer systems and integrating disparate data together in an enterprise environment. Inhaltsverzeichnis Part 1: An Introduction to Data Integration Part 2: Batch Data Integration ¿ ETL ¿ Data Warehousing ¿ Data Conversion ¿ Batch Data Integration Architecture and Metadata Part 3: Real-Time Data Integration ¿ Best Practice Patterns ¿ Technologies ¿ Message Modeling ¿ XML ¿ Master Data Management ¿ Real Time Data Integration Architecture and Metadata ¿ Interactions with Legacy Applications ¿ External Interaction Part 4: Cloud and Big Data Integration ...
