Managing Data in Motion Book

Managing Data in Motion


  • Author : April Reeve
  • Publisher : Morgan Kaufmann Pub
  • Release Date : 2013
  • Genre: Computers
  • Pages : 174
  • ISBN 10 : 0123971675

DOWNLOAD BOOK
Managing Data in Motion Excerpt :

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"

Managing Data in Motion Book

Managing Data in Motion


  • Author : April Reeve
  • Publisher : Newnes
  • Release Date : 2013-02-26
  • Genre: Computers
  • Pages : 204
  • ISBN 10 : 9780123977915

DOWNLOAD BOOK
Managing Data in Motion Excerpt :

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"

IBM InfoSphere Streams Harnessing Data in Motion Book

IBM InfoSphere Streams Harnessing Data in Motion


  • Author : Chuck Ballard
  • Publisher : IBM Redbooks
  • Release Date : 2010-09-14
  • Genre: Computers
  • Pages : 360
  • ISBN 10 : 9780738434735

DOWNLOAD BOOK
IBM InfoSphere Streams Harnessing Data in Motion Excerpt :

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 is, the results are continuously updated as the data sources are refreshed. So, traditional queries seek and access static data, but with stream computing, a continuous stream of data flows to the application and is continuously evaluated by static queries. However, with IBM InfoSphere Streams, those queries can be modified over time as requirements change. IBM InfoSphere Streams takes a fundamentally different approach to continuous processing and differentiates itself with its distributed runtime platform, programming model, and tools for developing continuous processing applications. The data streams consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams.

Data Management courseware based on CDMP Fundamentals Book

Data Management courseware based on CDMP Fundamentals


  • Author : Strategy Alliance BV
  • Publisher : Van Haren
  • Release Date : 2022-11-27
  • Genre: Computers
  • Pages : 165
  • ISBN 10 : 9789401807999

DOWNLOAD BOOK
Data Management courseware based on CDMP Fundamentals Excerpt :

Besides the courseware publication (ISBN: 9789401807999), you are advised to obtain the DAMA DMBOK publication (ISBN: 9781634622349). Optionally, you can use the publication Data management: a gentle introduction (ISBN: 9789401805506) as inspiration for examples and quotes about the field of data management. This material is intended to prepare participants for the CDMP exam by DAMA International. The courseware can only be ordered by partners and is based on the current version of the DAMA DMBOK. The material will be updated when new versions of DMBOK are published. DAMA DMBOK is the industry reference for data management. It is published by DAMA International and is currently in its second version. The DMBOK is developed by professionals and can be seen as a collection of best practices. The domain of data management is divided into functional areas which are discussed in terms of definitions (what is it), goals (what are we trying to achieve), steps (what are typical activities), inputs/outputs, and participating roles. Developing and sustaining an effective data management function is far from an easy task. The DMBOK framework is adopted by many organizations as the foundation for their data management function: standardized language and good practices speed up the learning process. After the training, you have an overview of the field of data management, its terminology, and current best practices.

Intelligent Innovations in Multimedia Data Engineering and Management Book

Intelligent Innovations in Multimedia Data Engineering and Management


  • Author : Bhattacharyya, Siddhartha
  • Publisher : IGI Global
  • Release Date : 2018-09-07
  • Genre: Computers
  • Pages : 316
  • ISBN 10 : 9781522571087

DOWNLOAD BOOK
Intelligent Innovations in Multimedia Data Engineering and Management Excerpt :

With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient methods for storage and archiving of this data. Intelligent Innovations in Multimedia Data Engineering and Management provides emerging research exploring the theoretical and practical aspects of storage systems and computing methods for large forms of data. Featuring coverage on a broad range of topics such as binary image, fuzzy logic, and metaheuristic algorithms, this book is ideally designed for computer engineers, IT professionals, technology developers, academicians, and researchers seeking current research on advancing strategies and computing techniques for various types of data.

Executing Data Quality Projects Book

Executing Data Quality Projects


  • Author : Danette McGilvray
  • Publisher : Academic Press
  • Release Date : 2021-05-27
  • Genre: Computers
  • Pages : 376
  • ISBN 10 : 9780128180167

DOWNLOAD BOOK
Executing Data Quality Projects Excerpt :

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling d

Growing Business Intelligence Book

Growing Business Intelligence


  • Author : Larry Burns
  • Publisher : Technics Publications
  • Release Date : 2016-09-23
  • Genre: Computers
  • Pages : 196
  • ISBN 10 : 9781634621496

DOWNLOAD BOOK
Growing Business Intelligence Excerpt :

How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won’t tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include: · Have an overarching strategy, plan, and roadmap · Recognize and leverage your existing technology investments · Support both data discovery and data reuse · Keep data in motion, not at rest · Separate information delivery from data storage · Emphasize data transparency over data quality · Take an agile approach to BI development. This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature. It will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively. This book is about many things. But principally, it’s about success. The goal of any enterprise initiative is to succeed and to derive benefit—benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how. This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort—not just the data people or the IT people, but also the bu

Mastering Identity and Access Management with Microsoft Azure Book

Mastering Identity and Access Management with Microsoft Azure


  • Author : Jochen Nickel
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-02-26
  • Genre: Computers
  • Pages : 698
  • ISBN 10 : 9781789131154

DOWNLOAD BOOK
Mastering Identity and Access Management with Microsoft Azure Excerpt :

Start empowering users and protecting corporate data, while managing identities and access with Microsoft Azure in different environments Key FeaturesUnderstand how to identify and manage business drivers during transitionsExplore Microsoft Identity and Access Management as a Service (IDaaS) solutionOver 40 playbooks to support your learning process with practical guidelinesBook Description Microsoft Azure and its Identity and access management are at the heart of Microsoft's software as service products, including Office 365, Dynamics CRM, and Enterprise Mobility Management. It is crucial to master Microsoft Azure in order to be able to work with the Microsoft Cloud effectively. You’ll begin by identifying the benefits of Microsoft Azure in the field of identity and access management. Working through the functionality of identity and access management as a service, you will get a full overview of the Microsoft strategy. Understanding identity synchronization will help you to provide a well-managed identity. Project scenarios and examples will enable you to understand, troubleshoot, and develop on essential authentication protocols and publishing scenarios. Finally, you will acquire a thorough understanding of Microsoft Information protection technologies. What you will learnApply technical descriptions to your business needs and deploymentsManage cloud-only, simple, and complex hybrid environmentsApply correct and efficient monitoring and identity protection strategiesDesign and deploy custom Identity and access management solutionsBuild a complete identity and access management life cycleUnderstand authentication and application publishing mechanismsUse and understand the most crucial identity synchronization scenariosImplement a suitable information protection strategyWho this book is for This book is a perfect companion for developers, cyber security specialists, system and security engineers, IT consultants/architects, and system administrators who are lookin

Data Management at Scale Book
Score: 5
From 1 Ratings

Data Management at Scale


  • Author : Piethein Strengholt
  • Publisher : O'Reilly Media
  • Release Date : 2020-07-29
  • Genre: Computers
  • Pages : 348
  • ISBN 10 : 9781492054757

DOWNLOAD BOOK
Data Management at Scale Excerpt :

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Kafka  The Definitive Guide Book

Kafka The Definitive Guide


  • Author : Gwen Shapira
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2021-11-05
  • Genre: Computers
  • Pages : 488
  • ISBN 10 : 9781492043034

DOWNLOAD BOOK
Kafka The Definitive Guide Excerpt :

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 Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems

A Primer in Financial Data Management Book

A Primer in Financial Data Management


  • Author : Martijn Groot
  • Publisher : Academic Press
  • Release Date : 2017-05-10
  • Genre: Technology & Engineering
  • Pages : 306
  • ISBN 10 : 9780128099001

DOWNLOAD BOOK
A Primer in Financial Data Management Excerpt :

A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological challenge, but as a key asset that underpins effective business management. This broad survey of data management in financial services discusses the data and process needs from the business user, client and regulatory perspectives. Its non-technical descriptions and insights can be used by readers with diverse interests across the financial services industry. The need has never been greater for skills, systems, and methodologies to manage information in financial markets. The volume of data, the diversity of sources, and the power of the tools to process it massively increased. Demands from business, customers, and regulators on transparency, safety, and above all, timely availability of high quality information for decision-making and reporting have grown in tandem, making this book a must read for those working in, or interested in, financial management. Focuses on ways information management can fuel financial institutions’ processes, including regulatory reporting, trade lifecycle management, and customer interaction Covers recent regulatory and technological developments and their implications for optimal financial information management Views data management from a supply chain perspective and discusses challenges and opportunities, including big data technologies and regulatory scrutiny

The Apache Ignite Book Book

The Apache Ignite Book


  • Author : Michael Zheludkov
  • Publisher : Lulu.com
  • Release Date : 2019-02-25
  • Genre: Computers
  • Pages : 642
  • ISBN 10 : 9780359439379

DOWNLOAD BOOK
The Apache Ignite Book Excerpt :

Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support. On the other hand, Apache Ignite can be used for accelerating existing Relational and NoSQL databases, processing events & streaming data or developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning. Please see the table of contents for more details.

Technologies and Applications for Big Data Value Book

Technologies and Applications for Big Data Value


  • Author : Edward Curry
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: Application software
  • Pages : 555
  • ISBN 10 : 9783030783075

DOWNLOAD BOOK
Technologies and Applications for Big Data Value Excerpt :

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Healthcare Data Analytics and Management Book

Healthcare Data Analytics and Management


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2018-11-15
  • Genre: Science
  • Pages : 340
  • ISBN 10 : 9780128156360

DOWNLOAD BOOK
Healthcare Data Analytics and Management Excerpt :

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges

Proceedings of the International Conference on Interdisciplinary Research in Electronics and Instrumentation Engineering 2015 Book

Proceedings of the International Conference on Interdisciplinary Research in Electronics and Instrumentation Engineering 2015


  • Author : Kokula Krishna Hari Kunasekaran
  • Publisher : Association of Scientists, Developers and Faculties (ASDF)
  • Release Date : 2015-08-11
  • Genre: Computers
  • Pages : 99
  • ISBN 10 : 9788192986630

DOWNLOAD BOOK
Proceedings of the International Conference on Interdisciplinary Research in Electronics and Instrumentation Engineering 2015 Excerpt :

Proceedings of the International Conference on Interdisciplinary Research in Electronics and Instrumentation Engineering 2015 (ICIREIE)