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Mdx Cube Reporting Guide For Microstrategy 95
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Book Synopsis System Administration Guide for MicroStrategy 10 by : MicroStrategy Product Manuals
Download or read book System Administration Guide for MicroStrategy 10 written by MicroStrategy Product Manuals and published by MicroStrategy, Inc.. This book was released on 2015-06-04 with total page 1267 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System Administration Guide for MicroStrategy 9.5 by : MicroStrategy Product Manuals
Download or read book System Administration Guide for MicroStrategy 9.5 written by MicroStrategy Product Manuals and published by MicroStrategy, Inc.. This book was released on 2015-02-01 with total page 1372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The System Administration Guide describes the concepts and high-level steps to implement, deploy, maintain, tune, and troubleshoot a MicroStrategy business intelligence system.
Book Synopsis System Administration Guide for MicroStrategy 9. 3 by : MicroStrategy Product Manuals
Download or read book System Administration Guide for MicroStrategy 9. 3 written by MicroStrategy Product Manuals and published by MicroStrategy. This book was released on 2012-09-30 with total page 1354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System Administration Guide for MicroStrategy 9. 3. 1 by : MicroStrategy Product Manuals
Download or read book System Administration Guide for MicroStrategy 9. 3. 1 written by MicroStrategy Product Manuals and published by MicroStrategy. This book was released on 2013-04-30 with total page 1377 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System Administration Guide for MicroStrategy 9.2.1m by : MicroStrategy Product Manuals
Download or read book System Administration Guide for MicroStrategy 9.2.1m written by MicroStrategy Product Manuals and published by MicroStrategy. This book was released on 2011-12-20 with total page 1166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Implementing MicroStrategy by : MicroStrategy University
Download or read book Implementing MicroStrategy written by MicroStrategy University and published by MicroStrategy Inc.. This book was released on 2013-09-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Implementing MicroStrategy: Development and Deployment course provides an overview of the stages involved in developing, implementing, and maintaining a business intelligence project. You will first get an intensive, yet high-level overview of the project design and report creation processes, followed by the document and dashboard creation basics. The course also covers deployment to MicroStrategy Web™ and MicroStrategy Mobile™, as well as administration and maintenance of MicroStrategy environment.
Book Synopsis Building a Data Warehouse by : Vincent Rainardi
Download or read book Building a Data Warehouse written by Vincent Rainardi and published by Apress. This book was released on 2008-03-11 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.
Book Synopsis Dimensional Modeling: In a Business Intelligence Environment by : Chuck Ballard
Download or read book Dimensional Modeling: In a Business Intelligence Environment written by Chuck Ballard and published by IBM Redbooks. This book was released on 2012-07-31 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this IBM Redbooks publication we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.
Book Synopsis Data Warehouse Systems by : Alejandro Vaisman
Download or read book Data Warehouse Systems written by Alejandro Vaisman and published by Springer Nature. This book was released on 2022-08-16 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.
Book Synopsis Informatics in Economy by : Gheorghe Cosmin Silaghi
Download or read book Informatics in Economy written by Gheorghe Cosmin Silaghi and published by Springer. This book was released on 2017-12-27 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 15th International Conference on Informatics in Economy, IE 2016, held in Cluj-Napoca, Romania, in June 2016. The 10 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 31 extended paper submissions for this book. They are organized in sections on Distributed Systems, Information Systems Adoption, Knowledge Representation and Processing, Domain-specific Data Analysis, and Computational Models. The volume also contains one invited keynote paper in full-paper length.
Book Synopsis Disruptive Analytics by : Thomas W. Dinsmore
Download or read book Disruptive Analytics written by Thomas W. Dinsmore and published by Apress. This book was released on 2016-08-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.
Book Synopsis Advanced Data Warehousing by : MicroStrategy University
Download or read book Advanced Data Warehousing written by MicroStrategy University and published by MicroStrategy, Inc.. This book was released on with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Business Intelligence for the Real-Time Enterprise by : Malu Castellanos
Download or read book Business Intelligence for the Real-Time Enterprise written by Malu Castellanos and published by Springer. This book was released on 2009-08-04 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: In todayís competitive and highly dynamic environment, analyzing data to understand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, - abled by the availability of up-to-date, high-quality information. As a response, the notion of "real-time enterprise" has emerged and is beginning to be recognized in the industry. Gartner defines it as “using up-to-date information, getting rid of delays, and using speed for competitive advantage is what the real-time enterprise is all about. . . Indeed, the goal of the real-time enterprise is to act on events as they happen. ” Although there has been progress in this direction and many com- nies are introducing products toward making this vision a reality, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires new techniques and methodologies capable of dealing with the new requirements imposed by the real-time enterprise.
Book Synopsis Business Intelligence Tools for Small Companies by : Albert Nogués
Download or read book Business Intelligence Tools for Small Companies written by Albert Nogués and published by Apress. This book was released on 2017-05-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies. Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database. The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll Learn You will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to: Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure Extract data from any enterprise resource planning (ERP) tool Process and integrate BI data using open-source extract-transform-load (ETL) tools Query, report, and analyze BI data using open-source visualization and dashboard tools Use a MOLAP tool to define next year's budget, integrating real data with target scenarios Deploy BI solutions and big data experiments inexpensively on cloud platforms Who This Book Is For Engineers, DBAs, analysts, consultants, and managers at small companies with limited resources but whose BI requirements have outgrown the limitations of Excel spreadsheets; personnel in mid-sized companies with established BI systems who are exploring technological updates and more cost-efficient solutions
Book Synopsis Developments in Information & Knowledge Management for Business Applications by : Natalia Kryvinska
Download or read book Developments in Information & Knowledge Management for Business Applications written by Natalia Kryvinska and published by Springer Nature. This book was released on 2020-12-14 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides solutions to manage information competently in order to increase its business usage. The information/knowledge business is a highly-dynamic evolving industry, and the novel methodologies and practices for the business information processing, as well as application of mathematical models to the business analytics and efficient management, are the most essential for the decision-making and further development of this field. Consequently, in this series subline first volume, the authors study challenges and opportunities, as well as embrace different aspects of business information processing for an efficient enterprise management. The authors cover also methods and techniques, as well as strategies for the efficient business information processing for management. Besides, the authors analyse strategies for lowering business information/data loss, while improving customer satisfaction and maintenance levels. The major goal is to analyse the key aspects of managerial implications on the informational business on the continuous basis.
Book Synopsis The Data Warehouse Toolkit by : Ralph Kimball
Download or read book The Data Warehouse Toolkit written by Ralph Kimball and published by John Wiley & Sons. This book was released on 2011-08-08 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
Book Synopsis Business Intelligence by : David Loshin
Download or read book Business Intelligence written by David Loshin and published by Newnes. This book was released on 2012-11-27 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. - Guides managers through developing, administering, or simply understanding business intelligence technology - Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge - Contains a handy, quick-reference to technologies and terminology