Analytics Modules Installation And Porting Guide For Microstrategy 9 2 1m
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Analytics Modules Installation And Porting Guide For Microstrategy 9 2 1m
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Author : MicroStrategy Product Manuals
language : en
Publisher: MicroStrategy
Release Date : 2011-12-20
Analytics Modules Installation And Porting Guide For Microstrategy 9 2 1m written by MicroStrategy Product Manuals and has been published by MicroStrategy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-20 with Computers categories.
Analytics Modules
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Author : MicroStrategy Product Manuals
language : en
Publisher: MicroStrategy
Release Date : 2013-04-30
Analytics Modules written by MicroStrategy Product Manuals and has been published by MicroStrategy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-30 with Computers categories.
Analytics Modules Installation And Porting Guide For Microstrategy 9 5
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Author : MicroStrategy Product Manuals
language : en
Publisher: MicroStrategy, Inc.
Release Date : 2015-02-01
Analytics Modules Installation And Porting Guide For Microstrategy 9 5 written by MicroStrategy Product Manuals and has been published by MicroStrategy, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-01 with Computers categories.
A technical reference for the MicroStrategy Analytics Modules that come with MicroStrategy Architect. This guide provides installation and configuration steps for setting up the Analytics Modules.
Building A Data Warehouse
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Author : Vincent Rainardi
language : en
Publisher: Apress
Release Date : 2007-12-27
Building A Data Warehouse written by Vincent Rainardi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-27 with Computers categories.
Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore 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. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation. What you’ll learn A detailed understanding of what it takes to build a data warehouse The implementation code in SQL Server to build the data warehouse Dimensional modeling, data extraction methods, data warehouse loading, populating dimension and fact tables, data quality, data warehouse architecture, and database design Practical data warehousing applications such as business intelligence reports, analytics applications, and customer relationship management Who this book is for There are three audiences for the book. The first are the people who implement the data warehouse. This could be considered a field guide for them. The second is database users/admins who want to get a good understanding of what it would take to build a data warehouse. Finally, the third audience is managers who must make decisions about aspects of the data warehousing task before them and use the book to learn about these issues.
Systems Engineering
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Author : Reinhard Haberfellner
language : en
Publisher: Springer
Release Date : 2019-06-06
Systems Engineering written by Reinhard Haberfellner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-06 with Science categories.
This translation brings a landmark systems engineering (SE) book to English-speaking audiences for the first time since its original publication in 1972. For decades the SE concept championed by this book has helped engineers solve a wide variety of issues by emphasizing a top-down approach. Moving from the general to the specific, this SE concept has situated itself as uniquely appealing to both highly trained experts and anybody managing a complex project. Until now, this SE concept has only been available to German speakers. By shedding the overtly technical approach adopted by many other SE methods, this book can be used as a problem-solving guide in a great variety of disciplines, engineering and otherwise. By segmenting the book into separate parts that build upon each other, the SE concept’s accessibility is reinforced. The basic principles of SE, problem solving, and systems design are helpfully introduced in the first three parts. Once the fundamentals are presented, specific case studies are covered in the fourth part to display potential applications. Then part five offers further suggestions on how to effectively practice SE principles; for example, it not only points out frequent stumbling blocks, but also the specific points at which they may appear. In the final part, a wealth of different methods and tools, such as optimization techniques, are given to help maximize the potential use of this SE concept. Engineers and engineering students from all disciplines will find this book extremely helpful in solving complex problems. Because of its practicable lessons in problem-solving, any professional facing a complex project will also find much to learn from this volume.
Introducing Data Science
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Author : Davy Cielen
language : en
Publisher: Simon and Schuster
Release Date : 2016-05-02
Introducing Data Science written by Davy Cielen and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-02 with Computers categories.
Summary Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. About the Book Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science. What’s Inside Handling large data Introduction to machine learning Using Python to work with data Writing data science algorithms About the Reader This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. About the Authors Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors. Table of Contents Data science in a big data world The data science process Machine learning Handling large data on a single computer First steps in big data Join the NoSQL movement The rise of graph databases Text mining and text analytics Data visualization to the end user
Disruptive Analytics
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Author : Thomas W. Dinsmore
language : en
Publisher: Apress
Release Date : 2016-08-27
Disruptive Analytics written by Thomas W. Dinsmore and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Computers categories.
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.
Contemporary Issues In Strategic Management
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Author : Paul Phillips
language : en
Publisher: Routledge
Release Date : 2018-03-19
Contemporary Issues In Strategic Management written by Paul Phillips and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Business & Economics categories.
Traditional narratives on strategic management no longer fulfil the needs of students, practitioners, consultants and business owners operating within contemporary society. This textbook provides a differentiated approach to the topic, highlighting the dichotomy between theory and practice, and guiding readers towards an understanding of the future of strategic management. Moving beyond the short-sighted goal of profit maximization, Contemporary Issues in Strategic Management shines a light on measures that really matter, such as value. A wealth of global examples provide an illustration of competitive advantage from market-based and state-based perspectives, giving an insight into the activities that lead to the formation of successful and unsuccessful strategies. Written by two distinguished scholars in the field, this global textbook is essential reading for postgraduate students of strategic management worldwide.
Technological Developments In Education And Automation
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Author : Magued Iskander
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-30
Technological Developments In Education And Automation written by Magued Iskander and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-30 with Education categories.
Technological Developments in Education and Automation includes set of rigorously reviewed world-class manuscripts dealing with the increasing role of technology in daily lives including education and industrial automation Technological Developments in Education and Automation contains papers presented at the International Conference on Industrial Electronics, Technology & Automation and the International Conference on Engineering Education, Instructional Technology, Assessment, and E-learning which were part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering
Essentials Of Database Management
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Author : Jeffrey A. Hoffer
language : en
Publisher:
Release Date : 2014
Essentials Of Database Management written by Jeffrey A. Hoffer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Database management categories.
Focusing on the topics that leading database practitioners say are most important, Essentials of Database Management presents a concise overview designed to ensure practical success for database professionals. Built upon the strong foundation of Modern Database Management, currently in its eleventh edition, the new Essentials of Database Management is ideal for a less-detailed approach. Like its comprehensive counterpart, it guides readers into the future by presenting research that could reveal the "next big thing" in database management. And it features up-to-date coverage in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology. KEY TOPICS: The Database Environment and Development Process; Modeling Data in the Organization; The Enhanced E-R Model; Logical Database Design and the Relational Model; Physical Database Design and Performance; Introduction to SQL; Advanced SQL; Database Application Development; Data Warehousing MARKET: Readers who want an up-to-date overview of database development and management.