Visualizing Data with Microsoft Power View SET 2

Author: Brian Larson
Publisher: McGraw Hill Professional
ISBN: 0071780831
Format: PDF
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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

Author: Alberto Ferrari
Publisher: Microsoft Press
ISBN: 1509302816
Format: PDF
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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

Author: April Reeve
Publisher: Newnes
ISBN: 0123977916
Format: PDF, ePub
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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

Author: Ben Fry
Publisher: "O'Reilly Media, Inc."
ISBN: 0596519303
Format: PDF, ePub, Mobi
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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

Author: Daniil Maslyuk
Publisher: Microsoft Press
ISBN: 0134857798
Format: PDF, ePub
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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

Author: Doug Harts
Publisher: McGraw Hill Professional
ISBN: 0071601449
Format: PDF, Docs
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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

Author: Brian Larson
Publisher: McGraw-Hill Education
ISBN: 9781259641480
Format: PDF, Kindle
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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

Tableau 8 The Official Guide

Author: George Peck
Publisher: McGraw Hill Professional
ISBN: 007181678X
Format: PDF, Mobi
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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

Google Maps

Author: Evangelos Petroutsos
Publisher: McGraw Hill Professional
ISBN: 0071823042
Format: PDF, Kindle
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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

A Developer s Guide to Data Modeling for SQL Server

Author: Eric Johnson
Publisher: Addison-Wesley Professional
ISBN: 0132701537
Format: PDF, ePub, Mobi
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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