Data Warehousing Essentials

Data warehouses can be designed using the bottom-up, top-down or hybrid design models. This book aims to shed light on some of the unexplored aspects of data warehousing.

Author: Julio Bolton

Publisher: Larsen and Keller Education

ISBN: 1641720735

Category:

Page: 189

View: 318

DOWNLOAD →

A data warehouse (DW) is a system used in computing for data analysis and reporting. It is a core component of business intelligence. It stores integrated historical and current data from one or more sources. Data can be characterized according to data integration, time-variance, subject orientation, volatility, granularity, etc. It is then arranged into groups, facts and aggregate facts. The sources of data are cleansed, catalogued, transformed and used for data mining, market research, decision support and online analytical processing. The ways to analyze or retrieve the data, transform, load and extract data and manage the data dictionary are essential components of a data warehousing system. Data warehouses can be designed using the bottom-up, top-down or hybrid design models. This book aims to shed light on some of the unexplored aspects of data warehousing. Most of the topics introduced herein cover new techniques and applications of this field. Those in search of information to further their knowledge will be greatly assisted by this textbook.

Data Warehousing Fundamentals for IT Professionals

Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as significant recent trends in the field.

Author: Paulraj Ponniah

Publisher: John Wiley & Sons

ISBN: 9781118211304

Category: Computers

Page: 608

View: 172

DOWNLOAD →

CUTTING-EDGE CONTENT AND GUIDANCE FROM A DATA WAREHOUSING EXPERT—NOW EXPANDED TO REFLECT FIELD TRENDS Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerous enterprises have implemented data warehouse systems and reaped enormous benefits. Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as significant recent trends in the field. The author provides an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery. This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information. Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.

Data Warehousing Fundamentals

CHAPTER OBJECTIVES Review the essentials of planning for a data warehouse Distinguish between data warehouse projects and OLTP system projects Learn how to adapt the life cycle approach for a data warehouse project Discuss project team ...

Author: Paulraj Ponniah

Publisher: John Wiley & Sons

ISBN: 9780471463894

Category: Computers

Page: 544

View: 423

DOWNLOAD →

Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.

Data Warehousing Essentials

The objective of this book is to provide the reader with an insight to the world of Data Warehousing, in a lucid manner devoid of mathematical complications.

Author: Sudhir Warier

Publisher: CreateSpace

ISBN: 1463590482

Category: Computers

Page: 132

View: 322

DOWNLOAD →

The deployment of Data Warehouses as a business application has grown tremendously over the past decade. Data warehouses are today considered to be one of the key components of an organizations overall IT strategy and architecture. This is especially true in the current Knowledge based global economy. Innovation and creativity is the current buzzword as business enterprises struggle to retain their stranglehold and find new markets for their products or services. Data warehouses are being developed and deployed for all businesses irrespective of its size and nature. Foreseeing a huge growth potential major hardware and software vendors, across the world, have quickly developed products and services specifically targeting the data warehousing market. The objective of this book is to provide the reader with an insight to the world of Data Warehousing, in a lucid manner devoid of mathematical complications.

Oracle Essentials

Oracle began adding data warehousing features to Oracle7 in the early 1990s. Ever since, additional features for warehousing and analytics appeared, enabling better performance, functionality, scalability, and management.

Author: Rick Greenwald

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449343187

Category: Computers

Page: 432

View: 233

DOWNLOAD →

Written by Oracle insiders, this indispensable guide distills an enormous amount of information about the Oracle Database into one compact volume. Ideal for novice and experienced DBAs, developers, managers, and users, Oracle Essentials walks you through technologies and features in Oracle’s product line, including its architecture, data structures, networking, concurrency, and tuning. Complete with illustrations and helpful hints, this fifth edition provides a valuable one-stop overview of Oracle Database 12c, including an introduction to Oracle and cloud computing. Oracle Essentials provides the conceptual background you need to understand how Oracle truly works. Topics include: A complete overview of Oracle databases and data stores, and Fusion Middleware products and features Core concepts and structures in Oracle’s architecture, including pluggable databases Oracle objects and the various datatypes Oracle supports System and database management, including Oracle Enterprise Manager 12c Security options, basic auditing capabilities, and options for meeting compliance needs Performance characteristics of disk, memory, and CPU tuning Basic principles of multiuser concurrency Oracle’s online transaction processing (OLTP) Data warehouses, Big Data, and Oracle’s business intelligence tools Backup and recovery, and high availability and failover solutions

The Essential Guide to Computer Data Storage

THE ESSENTIAL GUIDE TO DATA WAREHOUSING Agosta THE ESSENTIAL GUIDE TO WEB STRATEGY FOR ENTREPRENEURS Bergman THE ESSENTIAL GUIDE TO THE BUSINESS OF US WIRELESS COMMUNICATIONS Burnham THE ESSENTIAL GUIDE TO TELECOMMUNICATIONS, ...

Author: Andrei Khurshudov

Publisher: Prentice Hall Professional

ISBN: 9780130927392

Category: Computers

Page: 356

View: 644

DOWNLOAD →

Explores recent innovations in information and data storage technology.

Fundamentals of Data Warehouses

The central problem addressed in this chapter is the refreshment of a data warehouse in order to reflect the changes that have occurred in the sources from which the data warehouse is defined. The possibility of having "fresh data" in a ...

Author: Matthias Jarke

Publisher: Springer Science & Business Media

ISBN: 9783662051535

Category: Computers

Page: 224

View: 937

DOWNLOAD →

This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.

Data Warehousing

Continuously providing your company with new information and merging the data from disparate systems is essential to maximizing the value of an enterprise data warehouse . Remember to build your data warehouse in complete alignment with ...

Author: Paul Westerman

Publisher: Morgan Kaufmann

ISBN: 155860684X

Category: Computers

Page: 297

View: 799

DOWNLOAD →

What is data warehousing? -- Project planning -- Business exploration -- Business case study and ROI analysis -- Organizational integration -- Technology -- Database maintenance -- Technical construction of the Wal-Mart data warehouse -- Postimplementation of the Wal-Mart data warehouse -- Store operations sample analyses -- Merchandising sample analyses.

Enterprise Business Intelligence and Data Warehousing

This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to ...

Author: Alan Simon

Publisher: Morgan Kaufmann

ISBN: 9780128017463

Category: Computers

Page: 100

View: 927

DOWNLOAD →

Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing. Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing.

Essential Oracle8i Data Warehousing

Designing, Building, and Managing Oracle Data Warehouses Gary Dodge, Tim Gorman. 05309 80 UMMU IBKS 410623683 ELTR 09118101 Advance Praise for Essential Oracle8i Data Warehousing Data warehousing is now an imperative in order to ...

Author: Gary Dodge

Publisher: Wiley

ISBN: UOM:39015053098110

Category: Computers

Page: 928

View: 836

DOWNLOAD →

"This book is the definitive guide for serious Oracle8i professionals and is required reading for all Oracle data warehousing practitioners."-Shannon Platz, Senior Director, Business Intelligence & Warehouse Global Service Line, Oracle Corporation A complete hands-on guide to Oracle8i and earlier versions In this updated and expanded edition of their critically acclaimed Oracle8 Data Warehousing, Gary Dodge and Tim Gorman clearly explain everything you'll need to know to build and manage a large, high-performance data warehouse using Oracle8i. They provide a technical roadmap to the specific Oracle8 or Oracle8i features that are relevant to designing, building, tuning, and administering an Oracle data warehouse. After a brief review of the basic concepts, you'll find descriptions of the various hardware platforms to support the Oracle data warehouse. The authors then cover the Oracle features that can enhance a large data warehouse, the design considerations for a warehouse, and the steps necessary to load data into the warehouse. You'll also find out how to perform parallel operations using Oracle8 and Oracle8i to accomplish massive tasks more quickly. And you'll discover the specific features and techniques for implementing a distributed architecture. With this book, you'll learn how to: - Design a data warehouse for optimum performance - Construct the data warehouse using Oracle8 and Oracle8i database technology - Load data into the data warehouse - Summarize and aggregate data within a warehouse - Administer and monitor a data warehouse for optimum performance - Build and manage very large (multiterabyte) data warehouses Visit our Web site at www.wiley.com/compbooks/ Visit the companion Web site at www.wiley.com/compbooks/dodge for scripts, extensions, and additional material.

Essentials of Marketing Research

Databases and Data Warehousing A database is a collection of raw data arranged logically and organized in a form that can be stored and processed by a computer. A customer mailing list is one type of database.

Author: Barry J. Babin

Publisher: Cengage Learning

ISBN: 9781305688094

Category: Business & Economics

Page: 512

View: 532

DOWNLOAD →

ESSENTIALS OF MARKETING RESEARCH, 6E, provides a concise, yet complete guide to the design, execution, analysis, and reporting of marketing research to support smart business decisions. Covering essential principles and techniques in a streamlined, engaging way, the text equips students with the core knowledge and skills needed to manage marketing research effectively. This proven text provides valuable business context while introducing both traditional research methods, such as designing questionnaires, and the latest technological advances, including current data collection devices, basic data analysis tools, practical approaches to data analytics, and the impact of social media and artifactual online data. Designed specifically for instructors who prefer a concise introduction to marketing research topics, the Sixth Edition of this trusted text features updates based on recent trends and technology, including an increased emphasis on ethical and international issues, reflecting their growing importance in modern marketing research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A Manager s Guide to Data Warehousing

For example, a meeting's purpose may be to educate senior managers about data warehousing basics, to share project status, or to ask for more funding. One way to help hone in on what messages to communicate in a meeting is to ask ...

Author: Laura Reeves

Publisher: John Wiley & Sons

ISBN: 9780470176382

Category: Computers

Page: 480

View: 845

DOWNLOAD →

Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You’ll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best meet unified objectives.

Oracle Essentials

Written by Oracle insiders, this indispensable guide distills an enormous amount of information about the Oracle Database into one compact volume.

Author: Rick Greenwald

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449343170

Category: Computers

Page: 432

View: 881

DOWNLOAD →

Written by Oracle insiders, this indispensable guide distills an enormous amount of information about the Oracle Database into one compact volume. Ideal for novice and experienced DBAs, developers, managers, and users, Oracle Essentials walks you through technologies and features in Oracle’s product line, including its architecture, data structures, networking, concurrency, and tuning. Complete with illustrations and helpful hints, this fifth edition provides a valuable one-stop overview of Oracle Database 12c, including an introduction to Oracle and cloud computing. Oracle Essentials provides the conceptual background you need to understand how Oracle truly works. Topics include: A complete overview of Oracle databases and data stores, and Fusion Middleware products and features Core concepts and structures in Oracle’s architecture, including pluggable databases Oracle objects and the various datatypes Oracle supports System and database management, including Oracle Enterprise Manager 12c Security options, basic auditing capabilities, and options for meeting compliance needs Performance characteristics of disk, memory, and CPU tuning Basic principles of multiuser concurrency Oracle’s online transaction processing (OLTP) Data warehouses, Big Data, and Oracle’s business intelligence tools Backup and recovery, and high availability and failover solutions

Business Essentials

Two techniques designed to utilise the ever-increasing amounts of data held by organisations are data warehousing and datamining. 7.1 Data warehousing Definition A data warehouse consists of a database, containing data from various ...

Author: BPP Learning Media

Publisher: BPP Learning Media

ISBN: 9780751791587

Category: Business & Economics

Page: 377

View: 356

DOWNLOAD →

This book is designed to be of value to anyone who is studying management, whether as a subject in its own right or as a module forming part of any business-related degree or diploma.However, it provides complete coverage of the topics listed in the Edexcel Guidelines for Units 15 (Managing Business Activities to Achieve Results) and 16 (Managing Communications, Knowledge and Information), of the BTEC Higher Nationals in Business (revised 2010). The book contains these sections: * Managing activities to achieve results * Managing communications, knowledge and informationFeatures include summary diagrams, worked examples and illustrations, activities, discussion topics, chapter summaries and quick quizzes, all presented in a user friendly format that helps to bring the subject to life.

IBM Data Warehousing

IBM DB2 offers the IBM DB2 Data Warehouse Center, which is an integrated component of the DB2 Control Center, ... Data. Warehouse. Center. Essentials. There are fundamental components of DWC important for you to understand.

Author: Michael L. Gonzales

Publisher: John Wiley & Sons

ISBN: 9780471457367

Category: Computers

Page: 704

View: 425

DOWNLOAD →

Reviews planning and designing architecture and implementing the data warehouse. Includes discussions on how and why to apply IBM tools. Offers tips, tricks, and workarounds to ensure maximum performance. Companion Web site includes technical notes, product updates, corrections, and links to relevant material and training.

The Kimball Group Reader

This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field.

Author: Ralph Kimball

Publisher: John Wiley & Sons

ISBN: 9781119238799

Category: Computers

Page: 912

View: 652

DOWNLOAD →

The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefaced by original commentaries explaining their role in the overall Kimball Group methodology. Data warehousing/business intelligence industry's current multi-billion dollar value is due in no small part to the contributions of Ralph Kimball and the Kimball Group. Their publications are the standards on which the industry is built, and nearly all data warehouse hardware and software vendors have adopted their methods in one form or another. This book is a compendium of Kimball Group expertise, and an essential reference for anyone in the field. Learn data warehousing and business intelligence from the field's pioneers Get up to date on best practices and essential design tips Gain valuable knowledge on every stage of the project lifecycle Dig into the Kimball Group methodology with hands-on guidance Ralph Kimball and the Kimball Group have continued to refine their methods and techniques based on thousands of hours of consulting and training. This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field.

Essential PySpark for Scalable Data Analytics

A data sink, as its name suggests, is a storage layer for storing raw or processed data either for short-term staging or long-term persistent storage. Though the term of data sink is commonly used in real-time data processing, ...

Author: Sreeram Nudurupati

Publisher: Packt Publishing Ltd

ISBN: 9781800563094

Category:

Page: 322

View: 203

DOWNLOAD →

Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale Key Features Discover how to convert huge amounts of raw data into meaningful and actionable insights Use Spark's unified analytics engine for end-to-end analytics, from data preparation to predictive analytics Perform data ingestion, cleansing, and integration for ML, data analytics, and data visualization Book Description Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark's Python language API, which offers Python developers an easy-to-use scalable data analytics framework. Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You'll begin your analytics journey with the data engineering process, learning how to perform data ingestion, cleansing, and integration at scale. This book helps you build real-time analytics pipelines that help you gain insights faster. You'll then discover methods for building cloud-based data lakes, and explore Delta Lake, which brings reliability to data lakes. The book also covers Data Lakehouse, an emerging paradigm, which combines the structure and performance of a data warehouse with the scalability of cloud-based data lakes. Later, you'll perform scalable data science and machine learning tasks using PySpark, such as data preparation, feature engineering, and model training and productionization. Finally, you'll learn ways to scale out standard Python ML libraries along with a new pandas API on top of PySpark called Koalas. By the end of this PySpark book, you'll be able to harness the power of PySpark to solve business problems. What you will learn Understand the role of distributed computing in the world of big data Gain an appreciation for Apache Spark as the de facto go-to for big data processing Scale out your data analytics process using Apache Spark Build data pipelines using data lakes, and perform data visualization with PySpark and Spark SQL Leverage the cloud to build truly scalable and real-time data analytics applications Explore the applications of data science and scalable machine learning with PySpark Integrate your clean and curated data with BI and SQL analysis tools Who this book is for This book is for practicing data engineers, data scientists, data analysts, and data enthusiasts who are already using data analytics to explore distributed and scalable data analytics. Basic to intermediate knowledge of the disciplines of data engineering, data science, and SQL analytics is expected. General proficiency in using any programming language, especially Python, and working knowledge of performing data analytics using frameworks such as pandas and SQL will help you to get the most out of this book.

Advanced Data Warehousing

MicroStrategy Engine Essentials • MicroStrategy Architect: Advanced Project Design • MicroStrategy Advanced Data Warehousing • MicroStrategyDataMining andAdvanced Analytics • Deploying MicroStrategy HighPerformance BI • MicroStrategy ...

Author: MicroStrategy University

Publisher: MicroStrategy Inc.

ISBN: 9781937418427

Category: Computers

Page: 300

View: 982

DOWNLOAD →

The MicroStrategy Advanced Data Warehousing course explains data modeling design challenges and solutions when implementing a MicroStrategy project. The course assumes prerequisite knowledge of MicroStrategy Desktop: Reporting Essentials, MicroStrategy Architect: Project Design Essentials, and MicroStrategy Architect: Advanced Project Design. You will learn how to model complex hierarchies and attribute relationships, implement role attributes and versioning, use logical views, and optimize query performance.

Advanced Data Warehouse Design

Methodological support for data warehouse development is essential owing to the intrinsic complexity of this task. This support is increasingly important when spatial and temporal information is included, owing in particular to the ...

Author: Elzbieta Malinowski

Publisher: Springer Science & Business Media

ISBN: 9783540744054

Category: Computers

Page: 435

View: 558

DOWNLOAD →

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Data Virtualization for Business Intelligence Systems

Revolutionizing Data Integration for Data Warehouses Rick van der Lans ... Commun ACM December 1972;15(12) Recently republished in Software Fundamentals, Collected Papers by David ...

Author: Rick van der Lans

Publisher: Elsevier

ISBN: 9780123978172

Category: Computers

Page: 296

View: 622

DOWNLOAD →

Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data. First independent book on data virtualization that explains in a product-independent way how data virtualization technology works. Illustrates concepts using examples developed with commercially available products. Shows you how to solve common data integration challenges such as data quality, system interference, and overall performance by following practical guidelines on using data virtualization. Apply data virtualization right away with three chapters full of practical implementation guidance. Understand the big picture of data virtualization and its relationship with data governance and information management.