Mastering Data Storage And Processing

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Mastering Data Storage and Processing

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 171 pages
Book Rating : 4.8/5 (677 download)

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Book Synopsis Mastering Data Storage and Processing by : Cybellium Ltd

Download or read book Mastering Data Storage and Processing written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Effective Data Storage and Processing with "Mastering Data Storage and Processing" In today's data-driven world, the ability to store, manage, and process data effectively is the cornerstone of success. "Mastering Data Storage and Processing" is your definitive guide to mastering the art of seamlessly managing and processing data for optimal performance and insights. Whether you're an experienced data professional or a newcomer to the realm of data management, this book equips you with the knowledge and skills needed to navigate the intricacies of modern data storage and processing. About the Book: "Mastering Data Storage and Processing" takes you on an enlightening journey through the intricacies of data storage and processing, from foundational concepts to advanced techniques. From storage systems to data pipelines, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of data storage technologies, file systems, and data processing paradigms. · Storage Systems: Explore a range of data storage systems, from relational databases and NoSQL databases to cloud-based storage solutions, understanding their strengths and applications. · Data Modeling and Design: Learn how to design effective data schemas, optimize storage structures, and establish relationships for efficient data organization. · Data Processing Paradigms: Dive into various data processing paradigms, including batch processing, stream processing, and real-time analytics, for extracting valuable insights. · Big Data Technologies: Master the essentials of big data technologies such as Hadoop, Spark, and distributed computing frameworks for processing massive datasets. · Data Pipelines: Understand the design and implementation of data pipelines for data ingestion, transformation, and loading, ensuring seamless data flow. · Scalability and Performance: Discover strategies for optimizing data storage and processing systems for scalability, fault tolerance, and high performance. · Real-World Use Cases: Gain insights from real-world examples across industries, from finance and healthcare to e-commerce and beyond. · Data Security and Privacy: Explore best practices for data security, encryption, access control, and compliance to protect sensitive information. Who This Book Is For: "Mastering Data Storage and Processing" is designed for data engineers, developers, analysts, and anyone passionate about effective data management. Whether you're aiming to enhance your skills or embark on a journey toward becoming a data management expert, this book provides the insights and tools to navigate the complexities of data storage and processing. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Enterprise Master Data Management

Author : Allen Dreibelbis
Publisher : Pearson Education
ISBN 13 : 0132704277
Total Pages : 833 pages
Book Rating : 4.1/5 (327 download)

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Book Synopsis Enterprise Master Data Management by : Allen Dreibelbis

Download or read book Enterprise Master Data Management written by Allen Dreibelbis and published by Pearson Education. This book was released on 2008-06-05 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration

MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT

Author : Michael J. A. Berry
Publisher :
ISBN 13 : 9788126518258
Total Pages : 512 pages
Book Rating : 4.5/5 (182 download)

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Book Synopsis MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT by : Michael J. A. Berry

Download or read book MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT written by Michael J. A. Berry and published by . This book was released on 2008-09-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.

Mastering Data Modeling

Author : John Carlis
Publisher : Addison-Wesley Professional
ISBN 13 : 0134176537
Total Pages : 629 pages
Book Rating : 4.1/5 (341 download)

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Book Synopsis Mastering Data Modeling by : John Carlis

Download or read book Mastering Data Modeling written by John Carlis and published by Addison-Wesley Professional. This book was released on 2000-11-10 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs. Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data that users need. Assuming no prior knowledge, Mastering Data Modeling sets forth several fundamental problems of data modeling, such as reconciling the software developer's demand for rigor with the users' equally valid need to speak their own (sometimes vague) natural language. In addition, it describes the good habits that help you respond to these fundamental problems. With these good habits in mind, the book describes the Logical Data Structure (LDS) notation and the process of controlled evolution by which you can create low-cost, user-approved data models that resist premature obsolescence. Also included is an encyclopedic analysis of all data shapes that you will encounter. Most notably, the book describes The Flow, a loosely scripted process by which you and the users gradually but continuously improve an LDS until it faithfully represents the information needs. Essential implementation and technology issues are also covered. You will learn about such vital topics as: The fundamental problems of data modeling The good habits that help a data modeler be effective and economical LDS notation, which encourages these good habits How to read an LDS aloud--in declarative English sentences How to write a well-formed (syntactically correct) LDS How to get users to name the parts of an LDS with words from their own business vocabulary How to visualize data for an LDS A catalog of LDS shapes that recur throughout all data models The Flow--the template for your conversations with users How to document an LDS for users, data modelers, and technologists How to map an LDS to a relational schema How LDS differs from other notations and why "Story interludes" appear throughout the book, illustrating real-world successes of the LDS notation and controlled evolution process. Numerous exercises help you master critical skills. In addition, two detailed, annotated sample conversations with users show you the process of controlled evolution in action.

Master Data Management

Author : David Loshin
Publisher : Morgan Kaufmann
ISBN 13 : 0080921213
Total Pages : 301 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Master Data Management by : David Loshin

Download or read book Master Data Management written by David Loshin and published by Morgan Kaufmann. This book was released on 2010-07-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect.Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. - Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to "master. - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure

Master Data Management in Practice

Author : Dalton Cervo
Publisher : John Wiley & Sons
ISBN 13 : 111808568X
Total Pages : 272 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Master Data Management in Practice by : Dalton Cervo

Download or read book Master Data Management in Practice written by Dalton Cervo and published by John Wiley & Sons. This book was released on 2011-05-25 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.

Multi-Domain Master Data Management

Author : Mark Allen
Publisher : Morgan Kaufmann
ISBN 13 : 0128011475
Total Pages : 244 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Multi-Domain Master Data Management by : Mark Allen

Download or read book Multi-Domain Master Data Management written by Mark Allen and published by Morgan Kaufmann. This book was released on 2015-03-21 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. - Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. - Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. - Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.

Smarter Modeling of IBM InfoSphere Master Data Management Solutions

Author : Jan-Bernd Bracht
Publisher : IBM Redbooks
ISBN 13 : 0738436801
Total Pages : 596 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Smarter Modeling of IBM InfoSphere Master Data Management Solutions by : Jan-Bernd Bracht

Download or read book Smarter Modeling of IBM InfoSphere Master Data Management Solutions written by Jan-Bernd Bracht and published by IBM Redbooks. This book was released on 2012-08-09 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication presents a development approach for master data management projects, and in particular, those projects based on IBM InfoSphere® MDM Server. The target audience for this book includes Enterprise Architects, Information, Integration and Solution Architects and Designers, Developers, and Product Managers. Master data management combines a set of processes and tools that defines and manages the non-transactional data entities of an organization. Master data management can provide processes for collecting, consolidating, persisting, and distributing this data throughout an organization. IBM InfoSphere Master Data Management Server creates trusted views of master data that can improve applications and business processes. You can use it to gain control over business information by managing and maintaining a complete and accurate view of master data. You also can use InfoSphere MDM Server to extract maximum value from master data by centralizing multiple data domains. InfoSphere MDM Server provides a comprehensive set of prebuilt business services that support a full range of master data management functionality.

Mastering Cloud Computing

Author : Rajkumar Buyya
Publisher : Newnes
ISBN 13 : 0124095399
Total Pages : 469 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Mastering Cloud Computing by : Rajkumar Buyya

Download or read book Mastering Cloud Computing written by Rajkumar Buyya and published by Newnes. This book was released on 2013-04-05 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. - Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment - Real-world case studies include scientific, business, and energy-efficiency considerations

Mastering Data Ingestion

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.8/5 (628 download)

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Book Synopsis Mastering Data Ingestion by : Cybellium Ltd

Download or read book Mastering Data Ingestion written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficiently Capture and Prepare Data for Analysis Are you ready to optimize the way your organization captures and prepares data for analysis? "Mastering Data Ingestion" is your definitive guide to mastering the art of efficiently collecting, transforming, and organizing data for insights. Whether you're a data engineer streamlining data pipelines or a business leader aiming to leverage accurate information, this book equips you with the knowledge and strategies to excel in data ingestion. Key Features: 1. Enter the World of Data Ingestion: Immerse yourself in the realm of data ingestion, understanding its significance, challenges, and opportunities. Build a strong foundation that empowers you to design seamless processes for data collection. 2. Data Collection Techniques: Master various data collection techniques. Learn about batch processing, real-time streaming, and event-driven approaches for ingesting data from diverse sources. 3. Data Transformation and Enrichment: Delve into data transformation and enrichment during ingestion. Explore techniques for cleansing, structuring, and augmenting data to ensure its quality and usability. 4. Ingestion Patterns and Architectures: Uncover the power of data ingestion patterns and architectures. Learn how to design scalable and fault-tolerant data pipelines that handle high volumes of information. 5. Data Formats and Serialization: Explore data formats and serialization techniques. Learn how to handle diverse data structures, choose appropriate serialization methods, and ensure interoperability. 6. Ingestion Tools and Platforms: Discover a range of tools and platforms for data ingestion. Explore ETL (Extract, Transform, Load) tools, message brokers, and cloud-based services for efficient data movement. 7. Real-Time Data Ingestion: Master real-time data ingestion techniques. Learn how to capture and process streaming data for instant insights and timely decision-making. 8. Data Ingestion Best Practices: Delve into best practices for successful data ingestion projects. Learn how to handle data schema evolution, ensure data integrity, and optimize performance. 9. Cloud Data Ingestion: Explore cloud-based data ingestion strategies. Learn how to ingest data from cloud services, integrate with cloud databases, and leverage serverless architectures. 10. Real-World Applications: Gain insights into real-world use cases of data ingestion across industries. From IoT data streams to social media feeds, discover how organizations leverage efficient data collection for competitive advantage. Who This Book Is For: "Mastering Data Ingestion" is an essential resource for data engineers, analysts, and business professionals aiming to excel in efficiently collecting and preparing data for analysis. Whether you're enhancing your technical skills or optimizing data workflows, this book will guide you through the intricacies and empower you to harness the full potential of data ingestion. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

MASTERING DATA QUALITY MANAGEMENT

Author : Sandeep Rangineni
Publisher : Xoffencerpublication
ISBN 13 : 8119534654
Total Pages : 252 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis MASTERING DATA QUALITY MANAGEMENT by : Sandeep Rangineni

Download or read book MASTERING DATA QUALITY MANAGEMENT written by Sandeep Rangineni and published by Xoffencerpublication. This book was released on 2023-12-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lacking coherence and ambiguity Product information drives up the cost of compliance, slows down the time it takes to bring a product to market, creates inefficiencies in the supply chain, and results in market penetration that is lower than anticipated. Lacking coherence and ambiguity in addition to obscuring revenue recognition, posing dangers, causing sales inefficiencies, leading to ill-advised marketing campaigns, and causing consumers to lose loyalty, consumer information. Due to the fact that the data from suppliers is inconsistent and fragmented, there is a greater likelihood of exceptions from suppliers, there is less efficiency in the supply chain, and there is a negative impact on the attempts to manage spending. "Product," "Customer," and "Supplier" are only few of the significant business entities that are included in Master Data. There are many more important business entities as well. Master data is the queen when it comes to the analytical and transactional operations that are necessary for the operation of a business. The purpose of Master Data Management (MDM), which is a collection of applications and technology that consolidates, cleans, and augments this data, is to achieve the aim of synchronizing this corporate master data with all of the applications, business processes, and analytical tools. As a direct result of this, operational efficiency, effective reporting, and decision-making that is founded on facts are all significantly improved. Over the course of the last several decades, the landscapes of information technology have seen the proliferation of a multitude of new systems, applications, and technologies. A significant number of data problems have surfaced as a consequence of this disconnected environment.

Practical Applications of Data Processing, Algorithms, and Modeling

Author : Whig, Pawan
Publisher : IGI Global
ISBN 13 :
Total Pages : 334 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Practical Applications of Data Processing, Algorithms, and Modeling by : Whig, Pawan

Download or read book Practical Applications of Data Processing, Algorithms, and Modeling written by Whig, Pawan and published by IGI Global. This book was released on 2024-04-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.

Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive

Author : Peter Jones
Publisher : Walzone Press
ISBN 13 :
Total Pages : 195 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive by : Peter Jones

Download or read book Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive written by Peter Jones and published by Walzone Press. This book was released on 2024-10-19 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Immerse yourself in the realm of big data with "Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive," your definitive guide to mastering two of the most potent technologies in the data engineering landscape. This book provides comprehensive insights into the complexities of Apache Hadoop and Hive, equipping you with the expertise to store, manage, and analyze vast amounts of data with precision. From setting up your initial Hadoop cluster to performing sophisticated data analytics with HiveQL, each chapter methodically builds on the previous one, ensuring a robust understanding of both fundamental concepts and advanced methodologies. Discover how to harness HDFS for scalable and reliable storage, utilize MapReduce for intricate data processing, and fully exploit data warehousing capabilities with Hive. Targeted at data engineers, analysts, and IT professionals striving to advance their proficiency in big data technologies, this book is an indispensable resource. Through a blend of theoretical insights, practical knowledge, and real-world examples, you will master data storage optimization, advanced Hive functionalities, and best practices for secure and efficient data management. Equip yourself to confront big data challenges with confidence and skill with "Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive." Whether you're a novice in the field or seeking to expand your expertise, this book will be your invaluable guide on your data engineering journey.

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

Author : Alex Berson
Publisher : McGraw Hill Professional
ISBN 13 : 0071744592
Total Pages : 537 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E by : Alex Berson

Download or read book MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E written by Alex Berson and published by McGraw Hill Professional. This book was released on 2010-12-06 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance

Master Data Management for SaaS Applications

Author : Whei-Jen Chen
Publisher : IBM Redbooks
ISBN 13 : 0738440043
Total Pages : 148 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Master Data Management for SaaS Applications by : Whei-Jen Chen

Download or read book Master Data Management for SaaS Applications written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2014-10-19 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprises today understand the value of employing a master data management (MDM) solution for managing and governing mission critical information assets. chief data officers and chief information officers drive MDM initiatives with IBM® InfoSphere® Master Data Management to improve business results and operational efficiencies, which can help to lower costs and to reduce the risk of using untrusted master information in business process. Cloud computing introduces new considerations where enterprise IT architectures are extended beyond the corporate networks into the cloud. Many enterprises are now adopting turnkey business applications offered as software as a service (SaaS) solutions, such as customer relationship management (CRM), payroll processing, human resource management, and many more. However, in the context of MDM solutions, many organizations perceive risks in having these solutions deployed on the cloud. In some cases, organization are concerned with the legal restrictions of deploying solutions on the cloud, whereas in other cases organizations have policies and strategies in force that limit solution deployment on the cloud. Immaterial of what all the cases might be, industry trends point to a prediction that many "extended enterprises" will keep MDM solutions on premises and will want its integrations with SaaS applications, specifically customer and asset domains. This trend puts a key focus on an important component in the solution construct, that is, the cloud integration middleware and how it fits with hybrid cloud architectures that span on premises and cloud services. As this trend pans out, the on-premises MDM solution integration with SaaS applications will be the key pain point for the "extended enterprise." This IBM Redbooks® publication provides guidance to chief data officers, chief information officers, MDM practitioners, integration architects, and others who are interested in the integration of IBM InfoSphere Master Data Management with SaaS applications. This book lays the background on how mastering and governance needs for SaaS applications is quite similar to what on-premises business applications would need. It draws the perspective for serving the on-premises application and the SaaS application with the same MDM hub. This book describes how IBM WebSphere® Cast Iron® Cloud Integration can serve as the "de-facto" cloud integration middleware to integrate the on-premises InfoSphere Master Data Management systems with any SaaS application by using Saleforce.com integration as an example. This book also covers aspects of handling bulk operations with IBM InfoSphere Information Server. After reading this book, you will have a good understanding about the considerations for on-premises InfoSphere Master Data Management integration with SaaS applications in general and Salesforce.com in particular. The MDM practitioners and integration architects will understand the deployable integrations patterns and, in general, will be able to effectively contribute to delivering strategies that involve building solutions in this area. Additionally, SaaS vendors and customers looking to build or implement SaaS solutions that might require trusted master information will be able to use this compilation to ensure that the right architecture is put together and adhered to as a set of standard integrations patterns with all the core building blocks is essential for the longevity of a solution in this space.

Mastering Your Data

Author : Andy Graham
Publisher : Koios Associates Ltd
ISBN 13 : 0956582931
Total Pages : 187 pages
Book Rating : 4.9/5 (565 download)

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Book Synopsis Mastering Your Data by : Andy Graham

Download or read book Mastering Your Data written by Andy Graham and published by Koios Associates Ltd. This book was released on 2015-01-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is my latest book on Data Architecture focusing on the subject of MDM (Master Data Management). It is intended to provide a overview of the subject with chapters covering key topics such as: the business case, data privacy, the challenges of global MDM, golden source and authoritative source explanations, the different MDM styles and the record matching process. The back cover text says the following: " Master Data Management (MDM for short) has become a whole industry, within an industry. There are many companies now claiming to be MDM software (or services) providers. Everyone wants a master data project on their CV, and in general it has become hip and trendy to talk about and do. The reality is that MDM is in fact the reincarnation of the problem of how to manage the consistency and integrity of the myriads of data assets that exist across the enterprise. This book provides an understanding of MDM, the business drivers behind it, the various techniques that are critical to its success and gives a good architectural grounding in the subject. It is perfect for anyone embarking on an ‘adventure’ in this problem space." I hope you find this book enjoyable and useful. Andy

Mastering Data Visualization with Microsoft Visio Professional 2016

Author : David J Parker
Publisher : Packt Publishing Ltd
ISBN 13 : 1785882821
Total Pages : 334 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Mastering Data Visualization with Microsoft Visio Professional 2016 by : David J Parker

Download or read book Mastering Data Visualization with Microsoft Visio Professional 2016 written by David J Parker and published by Packt Publishing Ltd. This book was released on 2016-05-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of presenting information visually using Microsoft Visio Professional 2016 and Visio Pro for Office365 About This Book A complete guide to data visualization with Microsoft Visio Professional 2016 Visualize information to meet the needs of your business Get the quick way to learn Microsoft Visio 2016 Who This Book Is For This book is aimed at the departmental-level business intelligence professional or Microsoft Office power-user who wants to create data diagrams with Microsoft Visio that can accurately represent business information visually. What You Will Learn Add external data from a variety of data sources Represent information with data graphics Create custom data-like shapes Export data from structured diagrams Present information graphics to non-Visio users Automate visualizations from data Develop custom templates and code for others In Detail Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually, from network infrastructure to organization charts, from process diagrams to office layouts. Starting off with a brief introduction to Visio Professional 2016 and then moving on to data storage, linking data to shapes, and working with SQL Server to create a solid foundation. Then we'll cover topics such as refreshing data, working with geographical data, working with various graphics, and diagrams, and more. Finally, you'll find out how to deploy custom stencils, templates, and code. Style and approach This book has real life examples that will let you explore all the new features of Microsoft Visio 2016 and apply them in your daily life.