Managing Data in Motion: Data Integration Best Practice Techniques and Technologies

Managing Data in Motion: Data Integration Best Practice Techniques and Technologies
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作者:
出版社: Morgan Kaufmann
2013-03
版次: 1
ISBN: 9780123971678
定价: 594.80
装帧: 平装
页数: 204页
正文语种: 英语
  • "Managing Data in Motion" includes the techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling a scalable data architecture. Author April Reeve brings over two decades of experience to present a vendor-neutral approach that can be understood by IT and business managers as well as programmers and architects. 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. It presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types. It explains, in non-technical terms, the architecture and components required for an organization to perform Data Integration. It describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data". 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. 
  • 内容简介:
    "Managing Data in Motion" includes the techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling a scalable data architecture. Author April Reeve brings over two decades of experience to present a vendor-neutral approach that can be understood by IT and business managers as well as programmers and architects. 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. It presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types. It explains, in non-technical terms, the architecture and components required for an organization to perform Data Integration. It describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data".
  • 作者简介:
    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. 
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