Managing Data in Motion

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one 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. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. 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 Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

Produk Detail:

  • Author : April Reeve
  • Publisher : Newnes
  • Pages : 204 pages
  • ISBN : 0123977916
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKManaging Data in Motion

Managing Data in Motion

Managing Data in Motion
  • Author : April Reeve
  • Publisher : Newnes
  • Release : 26 February 2013
GET THIS BOOKManaging Data in Motion

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of

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  • Publisher : Academic Press
  • Release : 25 January 2022
GET THIS BOOKMeeting the Challenges of Data Quality Management

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  • Publisher : Academic Press
  • Release : 27 May 2021
GET THIS BOOKExecuting Data Quality Projects

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  • Author : Chuck Ballard,Daniel M Farrell,Mark Lee,Paul D Stone,Scott Thibault,Sandra Tucker,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release : 14 September 2010
GET THIS BOOKIBM InfoSphere Streams Harnessing Data in Motion

In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphereTM Streams (V1). See: http://www.redbooks.ibm.com/abstracts/sg247970.html for the newer InfoSphere Streams (V2) release. Stream computing is a new paradigm. In traditional processing, queries are typically run against relatively static sources of data to provide a query result set for analysis. With stream computing, a process that can be thought of as a continuous query, that

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  • Publisher : Microsoft Press
  • Release : 12 June 2014
GET THIS BOOKIntroducing Microsoft Azure HDInsight

Microsoft Azure HDInsight is Microsoft’s 100 percent compliant distribution of Apache Hadoop on Microsoft Azure. This means that standard Hadoop concepts and technologies apply, so learning the Hadoop stack helps you learn the HDInsight service. At the time of this writing, HDInsight (version 3.0) uses Hadoop version 2.2 and Hortonworks Data Platform 2.0. In Introducing Microsoft Azure HDInsight, we cover what big data really means, how you can use it to your advantage in your company or organization, and one of the services

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  • Author : Gaur, Loveleen,Solanki, Arun,Jain, Vishal,Khazanchi, Deepak
  • Publisher : IGI Global
  • Release : 17 April 2020
GET THIS BOOKHandbook of Research on Engineering Innovations and Technology Management in Organizations

As technology weaves itself more tightly into everyday life, socio-economic development has become intricately tied to these ever-evolving innovations. Technology management is now an integral element of sound business practices, and this revolution has opened up many opportunities for global communication. However, such swift change warrants greater research that can foresee and possibly prevent future complications within and between organizations. The Handbook of Research on Engineering Innovations and Technology Management in Organizations is a collection of innovative research that explores

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  • Publisher : "O'Reilly Media, Inc."
  • Release : 05 November 2021
GET THIS BOOKKafka: The Definitive Guide

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production

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GET THIS BOOKBig Data

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  • Author : G. Ranganathan,Joy Chen,Álvaro Rocha
  • Publisher : Springer Nature
  • Release : 24 September 2020
GET THIS BOOKInventive Communication and Computational Technologies

This book gathers selected papers presented at the 4th International Conference on Inventive Communication and Computational Technologies (ICICCT 2020), held on 28–29 May 2020 at Gnanamani College of Technology, Tamil Nadu, India. The respective contributions highlight recent research efforts and advances in a new paradigm called ISMAC (IoT in Social, Mobile, Analytics and Cloud contexts). The topics covered include the Internet of Things, Social Networks, Mobile Communications, Big Data Analytics, Bio-inspired Computing and Cloud Computing. Given its scope, the book is chiefly intended

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  • Author : Xiang Li,Xiaofeng Xu
  • Publisher : Springer
  • Release : 22 January 2017
GET THIS BOOKProceedings of the Fourth International Forum on Decision Sciences

These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems. Beijing University of Chemical Technology organized IFDS2016, the 4th International Forum on Decision Sciences, with the theme “Data-Driven Decision-Making.” The proceedings collect 84 selected papers presenting cutting-edge modeling and solution methods and include numerous practical case studies, making it a valuable resource for students, researchers and practitioners working in the fields of decision science, operations research, management science and engineering.

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  • Publisher : Springer
  • Release : 18 October 2016
GET THIS BOOKEnterprise Interoperability VII

A concise reference to the state of the art in systems interoperability, Enterprise Interoperability VII will be of great value to engineers and computer scientists working in manufacturing and other process industries and to software engineers and electronic and manufacturing engineers working in the academic environment. Furthermore, it shows how knowledge of the meaning within information and the use to which it will be put have to be held in common between enterprises for consistent and efficient inter-enterprise networks. Over 30

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  • Author : Dietmar Winkler,Stefan Biffl,Johannes Bergsmann
  • Publisher : Springer
  • Release : 05 January 2015
GET THIS BOOKSoftware Quality. Software and Systems Quality in Distributed and Mobile Environments

This book constitutes the refereed proceedings of the scientific track of the 7th Software Quality Days Conference, SWQD 2015, held in Vienna, Austria, in January 2015. The SWQD conference offers a range of comprehensive and valuable information by presenting new ideas from the latest research papers, keynote speeches by renowned academics and industry leaders, professional lectures, exhibits, and tutorials. The four scientific full papers accepted for SWQD were each peer reviewed by three or more reviewers and selected out of 13 high-quality submissions.