Mastering Data Storage And Processing
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Mastering Data Storage And Processing
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Data Storage And Processing written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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
Data Warehousing
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 101-01-01
Data Warehousing written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.
Introducing the "Data Warehousing: Optimizing Data Storage and Retrieval for Business Success" bundle! Unlock the full potential of your data with this comprehensive collection of four essential books: 1. Data Warehousing Fundamentals: A Beginner's Guide · Dive into the foundational principles of data warehousing and learn how to build a solid framework for storing and managing your organization's data. · Understand the importance of data modeling and gain insights into the extraction, transformation, and loading (ETL) processes essential for efficient data management. 2. Mastering Data Modeling for Data Warehousing · Take your data modeling skills to the next level with advanced techniques for conceptual, logical, and dimensional modeling. · Learn how to design scalable and efficient data warehouses that meet the evolving needs of your organization. 3. Advanced ETL Techniques for Data Warehousing Optimization · Optimize your ETL processes and streamline data extraction, transformation, and loading for maximum efficiency. · Explore advanced techniques such as incremental loading and change data capture (CDC) to ensure the smooth operation of your data warehouse. 4. Big Data Analytics: Harnessing the Power of Data Warehousing for Experts · Unlock the transformative potential of big data analytics and gain actionable insights to drive informed decision-making. · Discover how to leverage your data warehouse for real-time data processing, predictive modeling, and more. With this bundle, you'll gain the knowledge and skills needed to optimize your data storage and retrieval processes, empowering you to harness the power of data for business success. Whether you're a beginner looking to build a solid foundation or an expert seeking advanced strategies, this bundle has something for everyone. Don't miss out on this opportunity to revolutionize your approach to data warehousing and take your business to new heights!
Mastering Data Warehousing
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Data Warehousing written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Architect, Build, and Optimize Your Data Warehouse Are you ready to revolutionize the way your organization stores and accesses data? "Mastering Data Warehousing" is your definitive guide to architecting, building, and optimizing data warehouses that facilitate efficient data storage and retrieval. Whether you're a data architect designing robust warehouse structures or a business leader aiming to glean insights from your data, this book equips you with the knowledge and strategies to master the art of data warehousing. Key Features: 1. Architecting Data Warehouses: Immerse yourself in the world of data warehousing, understanding its significance, challenges, and opportunities. Build a strong foundation that empowers you to design data warehouses that cater to your organization's needs. 2. Data Warehouse Models: Master various data warehouse models. Learn about star schema, snowflake schema, and other dimensional modeling techniques for organizing data for efficient querying and analysis. 3. Data ETL (Extract, Transform, Load): Uncover the power of ETL processes in data warehousing. Explore techniques for extracting data from diverse sources, transforming it for analysis, and loading it into your warehouse. 4. Data Quality and Governance: Delve into data quality and governance within data warehousing. Learn how to ensure data accuracy, consistency, and compliance within your warehouse. 5. Optimizing Query Performance: Master techniques for optimizing query performance. Learn about indexing, partitioning, and materialized views to enhance query speed and responsiveness. 6. Scalability and High Availability: Explore strategies for scaling and ensuring high availability of your data warehouse. Learn how to handle growing data volumes and ensure uninterrupted access to critical information. 7. Cloud Data Warehousing: Discover the world of cloud data warehousing. Learn about designing and migrating data warehouses to cloud platforms, enabling scalability and cost-efficiency. 8. Data Warehousing Tools and Platforms: Uncover a range of tools and platforms for data warehousing. Explore traditional solutions as well as modern technologies like columnar databases and data lakes. 9. Real-Time Data Warehousing: Dive into real-time data warehousing techniques. Learn how to capture and process streaming data for instant insights and decision-making. 10. Real-World Applications: Gain insights into real-world use cases of data warehousing across industries. From business intelligence to customer analytics, discover how organizations leverage data warehouses for strategic advantage. Who This Book Is For: "Mastering Data Warehousing" is an essential resource for data architects, analysts, and business professionals aiming to excel in designing and managing data warehouses. Whether you're enhancing your technical skills or transforming data into actionable insights, this book will guide you through the intricacies and empower you to harness the full potential of data warehousing. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Your Data
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Author : Andy Graham
language : en
Publisher: Koios Associates Ltd
Release Date : 2015-01-01
Mastering Your Data written by Andy Graham and has been published by Koios Associates Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-01 with Computers categories.
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
Master Data Management
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Author : David Loshin
language : en
Publisher: Morgan Kaufmann
Release Date : 2010-07-28
Master Data Management written by David Loshin and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-28 with Computers categories.
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 And Data Governance 2 E
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Author : Alex Berson
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-12-06
Master Data Management And Data Governance 2 E written by Alex Berson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-06 with Computers categories.
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
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Author : Whei-Jen Chen
language : en
Publisher: IBM Redbooks
Release Date : 2014-10-19
Master Data Management For Saas Applications written by Whei-Jen Chen and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-19 with Computers categories.
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.
Enterprise Master Data Management
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Author : Allen Dreibelbis
language : en
Publisher: Pearson Education
Release Date : 2008-06-05
Enterprise Master Data Management written by Allen Dreibelbis and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-05 with Business & Economics categories.
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
Master Data Management In Practice
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Author : Dalton Cervo
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-25
Master Data Management In Practice written by Dalton Cervo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-25 with Business & Economics categories.
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
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Author : Mark Allen
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-03-21
Multi Domain Master Data Management written by Mark Allen and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-21 with Computers categories.
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.