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Visualizing Data with Microsoft Power View SET 2

Visualizing Data with Microsoft Power View  SET 2 Author Brian Larson
ISBN-10 9780071780834
Release 2012-05-06
Pages 338
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Reveals how to build rich BI reports with just a few clicks using Crescent, Microsoft’s newest BI tool Technical review by Microsoft’s Crescent team and Foreword by Group Program Manager for Crescent Complete, practical examples are immediately usable to readers in a commercial environment CD-ROM contains 30+ reusable reports, all code samples, and supporting animations that walk thru each example



Analyzing Data with Power BI and Power Pivot for Excel

Analyzing Data with Power BI and Power Pivot for Excel Author Alberto Ferrari
ISBN-10 9781509302819
Release 2017-04-28
Pages 320
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Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data



Managing Data in Motion

Managing Data in Motion Author April Reeve
ISBN-10 9780123977915
Release 2013-02-26
Pages 204
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Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"



Visualizing Data

Visualizing Data Author Ben Fry
ISBN-10 9780596519308
Release 2007-12-18
Pages 382
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Provides information on the methods of visualizing data on the Web, along with example projects and code.



Exam Ref 70 778 Analyzing and Visualizing Data by Using Microsoft Power BI

Exam Ref 70 778 Analyzing and Visualizing Data by Using Microsoft Power BI Author Daniil Maslyuk
ISBN-10 9780134857794
Release 2018-06-12
Pages 416
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Prepare for Microsoft Exam 70-778–and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI



Microsoft SQL Server 2008 R2 Analytics Data Visualization

Microsoft   SQL Server 2008 R2 Analytics   Data Visualization Author Doug Harts
ISBN-10 9780071601443
Release 2010-09-30
Pages 576
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Master the Next-Generation Business Intelligence Tools in SQL Server 2008 R2 Effectively convey meaningful business insights to users across your enterprise with help from this practical guide. Written by a team of business intelligence experts, Microsoft SQL Server 2008 R2 Analytics & Data Visualization shows how to achieve greater information absorption using the latest reporting tools. Learn how to build maps and gauges, integrate OLAP data, and develop dashboards. Security, performance tuning, and cloud computing techniques are also covered in this comprehensive resource. Design and deploy chart-based reports using SSRS 2008 R2 Display geo-spatial map data with location-based indicators Visually represent metrics and KPIs on graphs and gauges Distribute reports through SharePoint and PerformancePoint Create and publish web page parts, dashboards, and mash-ups Set up and manage cloud-based services using SQL Azure Incorporate data mining and forecasting features with Visio Integrate large amounts of data using PowerPoint for Excel Derive matrix, table, and chart data from OLAP cubes Doug Harts is a Services Executive at Microsoft currently helping U.S. Federal agencies implement Microsoft technology roadmaps. He is the author of Microsoft Office 2007 Business Intelligence, and maintains a BI community website at www.OfficeBIcentral.com. Jim Dugan is a Solutions Architect with the Microsoft Healthcare and Benefits team in Microsoft Federal. He previously served as Technical Director of Microsoft's Technology and Innovation Center in Reston, Virginia. Tricia Wilcox Almas is a Technical Architect for Business Intelligence Solutions for MicroLink, LLC, a Microsoft Gold Partner. She has been developing solutions and managing IT projects for more than 25 years.



Delivering Business Intelligence with Microsoft SQL Server 2016 Fourth Edition

Delivering Business Intelligence with Microsoft SQL Server 2016  Fourth Edition Author Brian Larson
ISBN-10 1259641481
Release 2016-11-02
Pages 880
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Distribute Actionable, Timely BI with Microsoft® SQL Server® 2016 and Power BI Drive better, faster, more informed decision making across your organization using the expert tips and best practices featured in this hands-on guide. Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, shows, step-by-step, how to distribute high-performance, custom analytics to users enterprise-wide. Discover how to build BI Semantic Models, create data marts and OLAP cubes, write MDX and DAX scripts, and share insights using Microsoft client tools. The book includes coverage of self-service business intelligence with Power BI. • Understand the goals and components of successful BI • Build data marts, OLAP cubes, and Tabular models • Load and cleanse data with SQL Server Integration Services • Manipulate and analyze data using MDX and DAX scripts and queries • Work with SQL Server Analysis Services and the BI Semantic Model • Author interactive reports using SQL Server Data Tools • Create KPIs and digital dashboards • Implement time-based analytics • Embed data model content in custom applications using ADOMD.NET • Use Power BI to gather, model, and visualize data in a self-service environment



Google Maps

Google Maps Author Evangelos Petroutsos
ISBN-10 9780071823043
Release 2014-03-21
Pages 464
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Create custom applications with the Google Maps API Featuring step-by-step examples, this practical resource gets you started programming the Google Maps API with JavaScript in no time. Learn how to embed maps on web pages, annotate the embedded maps with your data, generate KML files to store and reuse your map data, and enable client applications to request spatial data through web services. Google Maps: Power Tools for Maximizing the API explains techniques for visualizing masses of data and animating multiple items on the map. You’ll also find out how to embed Google maps in desktop applications to combine the richness of the Windows interface with the unique features of the API. You can use the numerous samples included throughout this hands-on guide as your starting point for building customized applications. Create map-enabled web pages with a custom look Learn the JavaScript skills required to exploit the Google Maps API Create highly interactive interfaces for mapping applications Embed maps in desktop applications written in .NET Annotate maps with labels, markers, and shapes Understand geodesic paths and shapes and perform geodesic calculations Store geographical data in KML format Add GIS features to mapping applications Store large sets of geography data in databases and perform advanced spatial queries Use web services to request spatial data from within your script on demand Automate the generation of standalone web pages with annotated maps Use the Geocoding and Directions APIs Visualize large data sets using symbols and heatmaps Animate items on a map Bonus online content includes: A tutorial on The SQL Spatial application A bonus chapter on animating multiple airplanes Three appendices: debugging scripts in the browser; scalable vector graphics; and applying custom styles



Tableau 8 The Official Guide

Tableau 8  The Official Guide Author George Peck
ISBN-10 9780071816786
Release 2013-09-10
Pages 230
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Present a unified view of complex BI using the entire Tableau 8 toolkit Create and distribute dynamic, feature-rich data visualizations and highly interactive BI dashboards--quickly and easily! Tableau 8: The Official Guide provides the hands-on instruction and best practices you need to meet your business intelligence objectives and drive better decision making. Discover how to work from the Tableau GUI, load BI from disparate sources, drag and drop to analyze data, set up custom visualizations, and build robust dashboards. This practical guide shows you, step by step, how to design and publish meaningful business communications to end users across your enterprise. Navigate the Tableau user interface and data window Connect to spreadsheets, databases, and other sources Select data fields and drag them to desired screen locations Work with pre-defined visualizations and sample workbooks Display background maps and perform geographic analysis Add calculated fields, graphs, charts, tables, and statistics Combine multiple data sources into real-time dashboards Export your visualizations to the Web or in various file formats Electronic content includes: Videos that demonstrate the techniques presented in the book Sample Tableau workbooks



A Developer s Guide to Data Modeling for SQL Server

A Developer s Guide to Data Modeling for SQL Server Author Eric Johnson
ISBN-10 9780132701532
Release 2008-06-24
Pages 304
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“ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” —Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. A Developer’s Guide to Data Modeling for SQL Server is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility



Database System Concepts

Database System Concepts Author
ISBN-10 9780077418007
Release
Pages
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Database System Concepts has been writing in one form or another for most of life. You can find so many inspiration from Database System Concepts also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Database System Concepts book for free.



Database Modeling for Industrial Data Management Emerging Technologies and Applications

Database Modeling for Industrial Data Management  Emerging Technologies and Applications Author Ma, Zongmin
ISBN-10 9781591406860
Release 2005-12-31
Pages 374
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"This book covers industrial databases and applications and offers generic database modeling techniques"--Provided by publisher.



Systems Analysis and Design in a Changing World

Systems Analysis and Design in a Changing World Author John W. Satzinger
ISBN-10 9781305465268
Release 2015-02-01
Pages 512
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Refined and streamlined, SYSTEMS ANALYSIS AND DESIGN IN A CHANGING WORLD, 7E helps students develop the conceptual, technical, and managerial foundations for systems analysis design and implementation as well as project management principles for systems development. Using case driven techniques, the succinct 14-chapter text focuses on content that is key for success in today's market. The authors' highly effective presentation teaches both traditional (structured) and object-oriented (OO) approaches to systems analysis and design. The book highlights use cases, use diagrams, and use case descriptions required for a modeling approach, while demonstrating their application to traditional, web development, object-oriented, and service-oriented architecture approaches. The Seventh Edition's refined sequence of topics makes it easier to read and understand than ever. Regrouped analysis and design chapters provide more flexibility in course organization. Additionally, the text's running cases have been completely updated and now include a stronger focus on connectivity in applications. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Software Architecture

Software Architecture Author Oliver Vogel
ISBN-10 9783642197369
Release 2011-09-18
Pages 478
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As a software architect you work in a wide-ranging and dynamic environment. You have to understand the needs of your customer, design architectures that satisfy both functional and non-functional requirements, and lead development teams in implementing the architecture. And it is an environment that is constantly changing: trends such as cloud computing, service orientation, and model-driven procedures open up new architectural possibilities. This book will help you to develop a holistic architectural awareness and knowledge base that extends beyond concrete methods, techniques, and technologies. It will also help you to acquire or expand the technical, methodological, and social competences that you need. The authors place the spotlight on you, the architect, and offer you long-term architectural orientation. They give you numerous guidelines, checklists, and best practices to support you in your practical work. "Software Architecture" offers IT students, software developers, and software architects a holistic and consistent orientation across relevant topics. The book also provides valuable information and suggestions for system architects and enterprise architects, since many of the topics presented are also relevant for their work. Furthermore, IT project leads and other IT managers can use the book to acquire an enhanced understanding of architecture. Further information is available at www.software-architecture-book.org.



Active Knowledge Modeling of Enterprises

Active Knowledge Modeling of Enterprises Author Frank Lillehagen
ISBN-10 9783540794165
Release 2008-09-16
Pages 436
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Enterprise Modeling has been defined as the art of externalizing enterprise knowledge, i.e., representing the core knowledge of the enterprise. Although useful in product design and systems development, for modeling and model-based approaches to have a more profound effect, a shift in modeling approaches and methodologies is necessary. Modeling should become as natural as drawing, sketching and scribbling, and should provide powerful services for capturing work-centric, work-supporting and generative knowledge, for preserving context and ensuring reuse. A solution is the application of Active Knowledge Modeling (AKM). The AKM technology is about discovering, externalizing, expressing, representing, sharing, exploring, configuring, activating, growing and managing enterprise knowledge. An AKM solution is about exploiting the Web as a knowledge engineering medium, and developing knowledge-model-based families of platforms, model-configured workplaces and services. This book was written by the inventors of AKM arising out of their cooperation with both scientists and industrial practitioners over a long period of time, and the authors give examples, directions, methods and services to enable new ways of working, exploiting the AKM approach to enable effective c-business, enterprise design and development, and lifecycle management. Industry managers and design engineers will become aware of the manifold possibilities of, and added values in, IT-supported distributed design processes, and researchers for collaborative design environments will find lots of stimulation and many examples for future developments.



Expanding the Frontiers of Visual Analytics and Visualization

Expanding the Frontiers of Visual Analytics and Visualization Author John Dill
ISBN-10 9781447128045
Release 2012-04-17
Pages 531
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The field of computer graphics combines display hardware, software, and interactive techniques in order to display and interact with data generated by applications. Visualization is concerned with exploring data and information graphically in such a way as to gain information from the data and determine significance. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. Expanding the Frontiers of Visual Analytics and Visualization provides a review of the state of the art in computer graphics, visualization, and visual analytics by researchers and developers who are closely involved in pioneering the latest advances in the field. It is a unique presentation of multi-disciplinary aspects in visualization and visual analytics, architecture and displays, augmented reality, the use of color, user interfaces and cognitive aspects, and technology transfer. It provides readers with insights into the latest developments in areas such as new displays and new display processors, new collaboration technologies, the role of visual, multimedia, and multimodal user interfaces, visual analysis at extreme scale, and adaptive visualization.



Information and Software Technologies

Information and Software Technologies Author Tomas Skersys
ISBN-10 9783642419478
Release 2013-10-06
Pages 416
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This book constitutes the refereed proceedings of the 19th International Conference on Information and Software Technologies, ICIST 2013, held in Kaunas, Lithuania, in October 2013. The 34 papers presented were carefully reviewed and selected from 60 submissions. The papers focus on the following topics: information systems, business intelligence, software engineering, and IT applications.