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Beginning Big Data with Power BI and Excel 2013

In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps. While Beginning Big Data with Power BI and Excel 2013 covers prominent tools such as Hadoop and the NoSQL databases, it recognizes that most small and medium-sized businesses don’t have the Big Data processing needs of a Netflix, Target, or Facebook. Instead, it shows how to import data and use the self-service analytics available in Excel with Power BI. As you’ll see through the book’s numerous case examples, these tools—which you already know how to use—can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects. Through instruction, insight, advice, and case studies, Beginning Big Data with Power BI and Excel 2013 will show you how to: Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources. Tap into the analytical power of PivotTables and PivotCharts and develop relational data models to track trends and make predictions based on a wide range of data. Understand basic statistics and use Excel with PowerBI to do sophisticated statistical analysis—including identifying trends and correlations. Use SQL within Excel to do sophisticated queries across multiple tables, including NoSQL databases. Create complex formulas to solve real-world business problems using Data Analysis Expressions (DAX).

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide introduces you to Microsoft's BI tools and systems. You'll gain hands-on experience building solutions that handle data warehousing, reporting, and predictive analytics. With step-by-step tutorials, you'll be equipped to transform data into actionable insights. What this Book will help me do Understand and implement multidimensional data models using SSAS and MDX. Write and use DAX queries and leverage SSAS tabular models effectively. Improve and maintain data integrity using MDS and DQS tools. Design and develop polished, insightful dashboards and reports using PerformancePoint, Power View, and SSRS. Explore advanced data analysis features, such as Power Query, Power Map, and basic data mining techniques. Author(s) Abolfazl Radgoudarzi and Reza Rad are experienced practitioners and educators in the field of business intelligence. They specialize in SQL Server BI technologies and have extensive careers helping organizations harness data for decision-making. Their approach combines clear explanations with practical examples, ensuring readers can effectively apply what they learn. Who is it for? This book is ideal for database developers, system analysts, and IT professionals looking to build strong foundations in Microsoft SQL Server's BI technologies. Beginners in business intelligence or data management will find the topics accessible. Intermediate practitioners will expand their ability to build complete BI solutions. It's designed for anyone eager to develop skills in data modeling, analysis, and visualization.

SQL Server Analysis Services 2012 Cube Development Cookbook

The 'SQL Server Analysis Services 2012 Cube Development Cookbook' equips you with the practical skills needed to design and implement OLAP cubes using both multidimensional and tabular models. By working through hands-on recipes, you'll quickly gain the expertise to create robust Business Intelligence solutions with SQL Server Analysis Services. What this Book will help me do Build and enhance multidimensional and tabular models for effective data analysis. Implement key OLAP features like dimensions, cubes, actions, and aggregations. Scale and optimize your Business Intelligence solutions for enterprise-level performance. Utilize MDX and DAX languages proficiently to query and manipulate data. Develop skills in securing, monitoring, and troubleshooting SQL Server Analysis Services. Author(s) None Dewald is an experienced business intelligence professional with years of hands-on expertise with SQL Server Analysis Services. His approach to teaching focuses on practical application and equipping his audience with tools to be successful in deploying and maintaining BI solutions. Who is it for? This book is perfect for BI and ETL developers who work with SQL Server Analysis Services to build OLAP cubes. It assumes familiarity with relational database management systems, Excel, and SQL. If you're looking to deepen your understanding of Microsoft's BI stack and improve your practical skills in SSAS, this book is for you.

Business Intelligence in Microsoft SharePoint 2013

Dive into the business intelligence features in SharePoint 2013—and use the right combination of tools to deliver compelling solutions. Take control of business intelligence (BI) with the tools offered by SharePoint 2013 and Microsoft SQL Server 2012. Led by a group of BI and SharePoint experts, you’ll get step-by-step instructions for understanding how to use these technologies best in specific BI scenarios—whether you’re a SharePoint administrator, SQL Server developer, or business analyst. Discover how to: Manage the entire BI lifecycle, from determining key performance indicators to building dashboards Use web-based Microsoft Excel services and publish workbooks on a SharePoint Server Mash up data from multiple sources and create Data Analysis Expressions (DAX) using PowerPivot Create data-driven diagrams that provide interactive processes and context with Microsoft Visio Services Use dashboards, scorecards, reports, and key performance indicators to monitor and analyze your business Use SharePoint to view BI reports side by side, no matter which tools were used to produced them

Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX

Understand Microsoft's dramatically updated new release of its premier toolset for business intelligence The first major update to Microsoft's state-of-the-art, complex toolset for business intelligence (BI) in years is now available and what better way to master it than with this detailed book from key members of the product's development team? If you're a database or data warehouse developer, this is the expert resource you need to build full-scale, multi-dimensional, database applications using Microsoft's new SQL Server 2012 Analysis Services and related tools. Discover how to solve real-world BI problems by leveraging a slew of powerful new Analysis Services features and capabilities. These include the new DAX language, which is a more user-friendly version of MDX; PowerPivot, a new tool for performing simplified analysis of data; BISM, Microsoft's new Business Intelligence Semantic Model; and much more. Serves as an authoritative guide to Microsoft's new SQL Server 2012 Analysis Services BI product and is written by key members of the Microsoft Analysis Services product development team Covers SQL Server 2012 Analysis Services, a major new release with a host of powerful new features and capabilities Topics include using the new DAX language, a simplified, more user-friendly version of MDX; PowerPivot, a new tool for performing simplified analysis of data; BISM, Microsoft's new Business Intelligence Semantic Model; and a new, yet-to-be-named BI reporting tool Explores real-world scenarios to help developers build comprehensive solutions Get thoroughly up to speed on this powerful new BI toolset with the timely and authoritative Professional Microsoft SQL Server 2012 Analysis Services with MDX.

Microsoft® SQL Server® 2012 Analysis Services: The BISM Tabular Model

Build agile and responsive Business Intelligence solutions Analyze tabular data using the BI Semantic Model (BISM) in Microsoft SQL Server 2012 Analysis Services—and discover a simpler method for creating corporate-level BI solutions. Led by three BI experts, you’ll learn how to build, deploy, and query a BISM tabular model with step-by-step guides, examples, and best practices. This hands-on book shows you how the tabular model’s in-memory database enables you to perform rapid analytics—whether you’re a professional BI developer new to Analysis Services or familiar with its multidimensional model. Discover how to: Determine when a tabular or multidimensional model is right for your project Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2010 Integrate data from multiple sources into a single, coherent view of company information Use the Data Analysis eXpressions (DAX) language to create calculated columns, measures, and queries Choose a data modeling technique that meets your organization’s performance and usability requirements Optimize your data model for better performance with xVelocity storage engine Manage complex data relationships, such as multicolumn, banding, and many-to-many Implement security by establishing administrative and data user roles

Delivering Business Intelligence with Microsoft SQL Server 2012 3/E, 3rd Edition

Implement a Robust BI Solution with Microsoft SQL Server 2012 Equip your organization for informed, timely decision making using the expert tips and best practices in this practical guide. Delivering Business Intelligence with Microsoft SQL Server 2012, Third Edition explains how to effectively develop, customize, and distribute meaningful information to users enterprise-wide. Learn how to build data marts and create BI Semantic Models, work with the MDX and DAX languages, and share insights using Microsoft client tools. Data mining and forecasting are also covered in this comprehensive resource. Understand the goals and components of successful BI Design, deploy, and manage data marts and OLAP cubes 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 Use data mining to identify patterns, correlations, and clusters Implement time-based analytics Embed BI reports in custom applications using ADOMD.NET

PowerPivot for Business Intelligence Using Excel and SharePoint

PowerPivot comprises a set of technologies for easy access to data mining and business intelligence analysis from Microsoft Excel and SharePoint. Power users and developers alike can create sophisticated, online analytic processing (OLAP) solutions using PowerPivot for Excel, and then share those solutions with other users via PowerPivot for SharePoint. Data can be pulled in from any of the leading database platforms, as well as from spreadsheets and flat files. PowerPivot for Business Intelligence Using Excel and SharePoint is your key to mastering PowerPivot. The book takes a scenario-based approach to showing you how to collect data, to mine that data through insightful analysis, and to draw conclusions that drive business performance. Each chapter in the book is focused on a specific challenge that you'll encounter when using PowerPivot. Each chapter takes you through a solution technique that's been proven in the real world. Covers the leading technology for bringing data analytics to the desktop Presents real-world solutions to real-world scenarios Written by a Microsoft Virtual Technical Specialist (VTS) for Business Intelligence What you'll learn Install and verify the PowerPivot software Integrated existing, available data to deliver business intelligence Leverage Time Intelligence to report change over time Write Data Analysis Expressions (DAX) to create custom measures Identify and implement solutions for role-playing dimensions Recognize and work-around PowerPivot's missing features Who this book is for PowerPivot Solutions for Excel and SharePoint is aimed at information workers and data analysts who typically use Excel to drive business decisions. The book shows how you can apply PowerPivot to problems typically addressed through complicated and arcane spreadsheet techniques. Business people without the time and interest in learning Excel arcane will especially appreciate how PowerPivot enables them to easily create models and perform analysis far in advance of anything they could do using Excel alone.

Practical PowerPivot & DAX Formulas for Excel 2010

250 + ready-to-use, powerful DAX formulas Develop effective business intelligence (BI) solutions and drive faster, better decision making across your enterprise with help from an experienced database consultant and trainer. Through clear explanations, screenshots, and examples, Practical PowerPivot & DAX Formulas for Excel 2010 shows you how to extract actionable insights from vast amounts of corporate data. More than 250 downloadable DAX formulas plus valuable appendixes covering SQL, MDX, and DMX query design are included in this hands-on guide. Build pivot tables and charts with PowerPivot for Excel Import information from Access, Excel, data feeds, SQL Server, and other sources Organize and format BI reports using the PowerPivot Field List Write DAX formulas that filter, sort, average, and denormalize data Construct complex DAX formulas from statistical, math, and date functions Compare current and past performance using date and time intelligence Handle non-additive numbers, non-numeric values, and running totals Develop complete self-service and sharable BI solutions in a few minutes Download the source code from www.mhprofessional.com/computingdownload

Professional Microsoft® PowerPivot for Excel® and SharePoint®

With PowerPivot, Microsoft brings the power of Microsoft's business intelligence tools to Excel and SharePoint users. Self-service business intelligence today augments traditional BI methods, allowing faster response time and greater flexibility. If you're a business decision-maker who uses Microsoft Office or an IT professional responsible for deploying and managing your organization's business intelligence systems, this guide will help you make the most of PowerPivot. Professional Microsoft PowerPivot for Excel and SharePoint describes all aspects of PowerPivot and shows you how to use each of its major features. By the time you are finished with this book, you will be well on your way to becoming a PowerPivot expert. This book is for people who want to learn about PowerPivot from end to end. You should have some rudimentary knowledge of databases and data analysis. Familiarity with Microsoft Excel and Microsoft SharePoint is helpful, since PowerPivot builds on those two products. This book covers the first version of PowerPivot, which ships with SQL Server 2008 R2 and enhances Microsoft Office 2010. It provides an overview of PowerPivot and a detailed look its two components: PowerPivot for Excel and PowerPivot for SharePoint. It explains the technologies that make up these two components, and gives some insight into why these components were implemented the way they were. Through an extended example, it shows how to build a PowerPivot application from end to end. The companion Web site includes all the sample applications and reports discussed. What This Book Covers After discussing self-service BI and the motivation for creating PowerPivot, the book presents a quick, end-to-end tutorial showing how to create and publish a simple PowerPivot application. It then drilsl into the features of PowerPivot for Excel in detail and, in the process, builds a more complex PowerPivot application based on a real-world case study. Finally, it discusses the server side of PowerPivot (PowerPivot for SharePoint) and provides detailed information about its installation and maintenance. Chapter 1, "Self-Service Business Intelligence and Microsoft PowerPivot," begins Part I of the book. This chapter describes self-service BI and introduces PowerPivot, Microsoft's first self-service BI tool. It provides a high-level look at the two components that make up PowerPivot - PowerPivot for Excel and PowerPivot for SharePoint. Chapter 2, "A First Look at PowerPivot," walks you through a simple example of creating a PowerPivot application from end to end. In the process, it shows how to set up the two components of PowerPivot, and describes the normal workflow of creating a simple PowerPivot application. Chapter 3, "Assembling Data," starts off Part II of the book, and explains how to bring data into PowerPivot from various external data sources. It also introduces the extended example that you will build in this and subsequent chapters. Chapter 4, "Enriching Data," shows how to enhance the data you brought into your application by creating relationships and using PowerPivot's expression language, Data Analysis Expressions (DAX). Chapter 5, "Self-Service Analysis," describes how to use your PowerPivot data with various Excel features, such as PivotTables, PivotCharts, and slicers to do analysis. Chapter 5 also delves further into DAX, showing how to create and use DAX measures. Chapter 6, "Self-Service Reporting," shows how to publish your PowerPivot workbook to the server side of PowerPivot (PowerPivot for SharePoint), and make use of its features to view and update PowerPivot reports. It also shows how to use the data in a PowerPivot workbook as a data source for reports created in other tools such as Report Builder 3.0 and Excel. Chapter 7, "Preparing for SharePoint 2010," is the first chapter in Part III of the book. It describes the components of SharePoint 2010 that are relevant for PowerPivot, and looks at how PowerPivot for SharePoint interacts with those components. Chapter 8, "PowerPivot for SharePoint Setup and Configuration," provides instructions on how to set up and configure a multi-machine SharePoint farm that contains PowerPivot for SharePoint. Chapter 9, "Troubleshooting, Monitoring, and Securing PowerPivot Services," gives tips on how to troubleshoot PowerPivot for SharePoint issues. It also shows how to monitor the health of your PowerPivot for SharePoint environment, and discusses relevant security issues. Chapter 10, "Diving into the PowerPivot Architecture," describes at a deeper level the architecture of PowerPivot, both client and server. It also explains the Windows Identity Foundation and discusses the use of Kerberos in the context of PowerPivot for SharePoint. Chapter 11, "Enterprise Considerations," talks about common PowerPivot for SharePoint enterprise considerations: capacity planning, optimizing the environment, upgrade considerations, and uploading performance. Appendix A provides instructions for setting up the data sources that are used to build the SDR Healthcare extended example in Chapters 3 through 6. Additionally, two "bonus" elements are available online at this book's companion Web site: Appendix B is a comprehensive DAX reference that describes all the DAX functions and provides code snippets that show how to use them. A special chapter describes real-world scenarios in which PowerPivot is used to solve common problems.

PowerPivot for the Data Analyst: Microsoft® Excel 2010

ANALYZE HUGE AMOUNTS OF BUSINESS DATA FASTER, MORE EASILY, AND MORE ACCURATELY! Use Microsoft’s free PowerPivot add-in for Excel 2010 to analyze immense amounts of data from any source, perform state-of-the-art business analysis far more easily, and make better decisions in less time! Simple, step-by-step instructions walk you through installing PowerPivot, importing data, using PivotTables with PowerPivot, using super-powerful DAX functions and measures, reporting to print or SharePoint, and a whole lot more. Whatever your Excel data analysis experience, this book will help you use PowerPivot to get the right answers, right now—without IT’s help! • Import and integrate data from spreadsheets, SQL Server, Access, Oracle, text files, Atom data feeds, and other sources • Analyze multiple tables together, without complicated VLOOKUPs • Format, sort, and filter data in the PowerPivot window • Add calculated columns using new DAX functions • Create powerful reports from PowerPivot data–and format them so executives instantly get your point • Discover PivotTable tricks that work even better in PowerPivot • Control multiple PivotTable elements on one worksheet, with one set of Excel 2010 Slicers • Use DAX Measures to quickly perform tasks that were difficult or impossible with Calculated Fields • Compare today’s sales to yesterday’s–or to sales from the parallel period last fiscal year. • Use Named Sets to prepare asymmetric reports, show actuals for past months and plan for future months. About MrExcel Library: Every book in the MrExcel Library pinpoints a specific set of crucial Excel tasks and presents focused skills and examples for performing them rapidly and effectively. Selected by Bill Jelen, Microsoft Excel MVP and mastermind behind the leading Excel solutions website MrExcel.com, these books will • Dramatically increase your productivity–saving you 50 hours a year, or more • Present proven, creative strategies for solving real-world problems • Show you how to get great results, no matter how much data you have • Help you avoid critical mistakes that even experienced users make