High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI
High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI

Author: Adam Aspin

Publisher: Apress

Published: 2016-11-16

Total Pages: 618

ISBN-13: 1484224000

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Take business intelligence delivery to a new level that is interactive, engaging, even fun, all while driving commercial success through sound decision making. Do this through the power of visualization using this updated edition covering new features and added support for visualization in Excel 2016, and describing the latest developments in Get & Transform and DAX. The example data set has also been updated to demonstrate all that Microsoft's self-service business intelligence suite is now capable of. High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI, 2nd Edition helps in harnessing the power of Microsoft’s flagship, self-service business intelligence suite to deliver compelling and interactive insight with remarkable ease. Learn the essential techniques needed to enhance the look and feel of reports and dashboards so that you can seize your audience’s attention and provide them with clear and accurate information. Also learn to integrate data from a variety of sources and create coherent data models displaying clear metrics and attributes. Power View is Microsoft's ground-breaking tool for ad-hoc data visualization and analysis. It's designed to produce elegant and visually arresting output. It's also built to enhance user experience through polished interactivity. Power Map is a similarly powerful mechanism for analyzing data across geographic and political units. Get & Transform lets you load, shape and streamline data from multiple sources. Power Pivot can extend and develop data into a dynamic model. Power BI allows you to share your findings with colleagues, and present your insights to clients. High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI, 2nd Edition helps you master this suite of powerful tools from Microsoft. You'll learn to identify data sources, and to save time by preparing your underlying data correctly. You'll also learn to deliver your powerful visualizations and analyses through the cloud to PCs, tablets and smartphones. Simple techniques take raw data and convert it into information. Slicing and dicing metrics delivers interactive insight. Visually arresting output grabs and focuses attention on key indicators. What You Will Learn Produce designer output that will astound your bosses and peers. Drive business intelligence from Excel using BI in the Cloud. Gather source data from corporate and public sources. Integrate charts, maps, and tables to deliver visually stunning information. Discover new insights as you chop and tweak your data as never before. Adapt delivery to mobile devices. Outshine competing products and enhance existing skills. Who This Book Is For Any Power BI Desktop, Excel or SharePoint user. Business Intelligence developers, power users, IT managers, finance experts, and more can use this book to outshine the competition by producing high-impact business intelligence reporting on a variety of devices from a variety of sources.

Pro Power BI Desktop
Pro Power BI Desktop

Author: Adam Aspin

Publisher: Apress

Published: 2017-12-08

Total Pages: 783

ISBN-13: 1484232100

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Deliver eye-catching Business Intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features, including combo charts, Cartesian charts, trend lines, use of gauges, and more. Also covered are Top-N features, the ability to bin data into groupings and chart the groupings, and new techniques for detecting and handling outlier data points. You can take data from virtually any source and use it to produce stunning dashboards and compelling reports that will seize your audience’s attention. Slice and dice the data with remarkable ease and then add metrics and KPIs to project the insights that create your competitive advantage. Make raw data into clear, accurate, and interactive information with Microsoft’s free self-service business intelligence tool. Pro Power BI Desktop shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced. You’ll be able to deliver those results on the PC, tablets, and smartphones, as well as share results via the cloud. This book helps you save time by preparing the underlying data correctly without needing an IT department to prepare it for you. What You'll Learn Deliver attention-grabbing information, turning data into insight Mash up data from multiple sources into a cleansed and coherent data model Create dashboards that help in monitoring key performance indicators of your business Build interdependent charts, maps, and tables to deliver visually stunning information Share business intelligence in the cloud without involving IT Deliver visually stunning and interactive charts, maps, and tables Find new insights as you chop and tweak your data as never before Adapt delivery to mobile devices such as phones and tablets Who This Book Is For Everyone from CEOs and Business Intelligence developers to power users and IT managers

Querying SQL Server
Querying SQL Server

Author: Adam Aspin

Publisher: BPB Publications

Published: 2022-06-21

Total Pages: 660

ISBN-13: 9355512376

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Learning real-world analytics using SQL KEY FEATURES ● Hands-on approach to learning the fundamentals of data analysis ● Covers all levels of SQL expertise from novice to master with examples ● Includes techniques and approaches to query complex databases more effectively DESCRIPTION This book will take you on an interactive journey to master SQL querying from the most fundamental to the most advanced level using various T-SQL techniques to provide meaningful insights from your SQL Server data. The book begins with an introduction to the fundamental concepts of both SQL and SQL Server. It then guides readers through the process of building queries, using simple and then more complex table joins and progressively more advanced data filtering, to deliver advanced queries based on a variety of SQL techniques. The reader will understand how to deliver relevant and trustworthy analysis of the data through learning how to apply fundamental computations in T-SQL, relational logic, and how to group and aggregate data. There is also coverage of other SQL concepts, such as formatting queries, writing subqueries, creating derived tables, joining and filtering tables, etc. In addition to that, the book discusses how to conduct rolling analyses, examine time-series data, and manage large and complex datasets. After finishing the book, readers won't merely be able to write complex queries; rather, they will be able to construct their methodology for analysing relational datasets and arriving at the desired insights. WHAT YOU WILL LEARN ● Analyze data using simple math and logic, multiple filters, and data aggregation. ● Become proficient with table expressions, subqueries, and writing complex computations. ● Perform rolling analysis and time series analysis using advanced methods. ● Review SQL concepts such as table joins, data filtering, query structuring, and table derivation. WHO THIS BOOK IS FOR This book is for data professionals, such as database developers, SQL developers, data analysts, and BI experts, who wish to construct complex queries and extract the desired analytics from their datasets. The book also encourages smart new learners to learn SQL and use it right away in their first jobs. TABLE OF CONTENTS 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in SQL Server 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output

Querying MariaDB
Querying MariaDB

Author: Adam Aspin

Publisher: BPB Publications

Published: 2022-07-25

Total Pages: 677

ISBN-13: 935551252X

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Employ analytics in relational databases to advance your career KEY FEATURES ● Use of multiple MariaDB datasets to gain hands-on experience with data analysis principles. ● Extensive examples take the reader through all levels of SQL skill, from novice to expert. ● Includes methods and techniques for doing complex database queries in MariaDB. DESCRIPTION This book will take you on an engaging experience to understand SQL querying from the most basic to the most expert level, using various SQL techniques to extract valuable insights from your MariaDB databases. The adventure will begin with the most basic level and end with the most professional level. This book's first section provides an introduction to the fundamental concepts of both SQL and MariaDB. It then guides users through building queries using simple and then more complex table joins and progressively more powerful data filtering to generate advanced queries utilizing various SQL techniques. The reader will understand MariaDB database analysis better by learning the basics of SQL computation, relational logic, and data grouping and aggregation. Also covered are SQL basics like formatting queries, making subqueries, making derived tables, joining and filtering tables, etc. In addition, the book explains how to conduct rolling analysis, investigate time-series data, and manage enormous and complex MariaDB datasets. When readers have finished the book, they can devise their techniques for analyzing relational MariaDB datasets and acquiring the necessary insights. WHAT YOU WILL LEARN ● Examine SQL principles such as table joins, data filtering, query design, and table derivation. ● Make it simpler to manipulate data that is dispersed across multiple tables. ● Use basic math and logic, multiple filters, and data aggregation to look at the data. ● Learn to use table expressions, subqueries, and complex calculations well. ● Utilize sophisticated techniques for rolling analysis and time series analysis. WHO THIS BOOK IS FOR This book is for MariaDB users and data professionals, including database developers, SQL developers, data analysts, and BI specialists, who wish to design complicated queries and extract the needed insights from their datasets. TABLE OF CONTENTS 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in MariaDB 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output

Querying MySQL
Querying MySQL

Author: Adam Aspin

Publisher: BPB Publications

Published: 2022-06-28

Total Pages: 682

ISBN-13: 9355512678

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Carry out real-world analytics to advance your career KEY FEATURES ● Learning the principles of data analysis with MySQL datasets in a practical manner. ● Extensive examples guide the reader through all stages of SQL proficiency, from complete newbie to master. ● Includes methods and methodologies for doing sophisticated MySQL database queries. DESCRIPTION This book will take you on an interactive journey to understand SQL querying from the most basic to the most expert level utilising a variety of SQL techniques to extract relevant insights from your MySQL databases. The first section of this book serves as an introduction to the fundamental ideas of both SQL and MySQL. It then walks readers through constructing queries using simple and then more sophisticated table joins and gradually more advanced data filtering to produce advanced queries based on a range of SQL techniques. The reader will better understand MySQL database analysis by mastering the fundamentals of SQL computation, relational logic, and data grouping and aggregation. SQL fundamentals such as query formatting, constructing subqueries, generating derived tables, joining and filtering tables, etc., are also covered. In addition, the book explains how to do rolling analysis, study time-series data, and manage huge and complex MySQL datasets. After completing the book, readers can create their methods for analysing relational MySQL datasets and gaining the needed insights. WHAT YOU WILL LEARN ● Review SQL concepts like table join, data filtering, query structuring, and table derivation. ● Make it easier to work with data that is spread out over several tables with similar or identical structures. ● Use simple math and logic, multiple filters, and data aggregation to look at the data. ● Learn how to use table expressions, subqueries, and complex calculations well. ● Use advanced methods to do rolling analysis and time series analysis. WHO THIS BOOK IS FOR This book is for data professionals, such as database developers, SQL developers, data analysts, and BI experts, who wish to construct complex queries and extract the desired analytics from their datasets. The book also encourages smart new learners to learn SQL and use it right away in their first jobs. TABLE OF CONTENTS Introduction 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in MySQL 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output

Power Pivot and Power Bi: The Excel User's Guide to Dax, Power Query, Power Bi & Power Pivot in Excel 2010-2016
Power Pivot and Power Bi: The Excel User's Guide to Dax, Power Query, Power Bi & Power Pivot in Excel 2010-2016

Author: Avichal Singh

Publisher: Holy Macro! Books

Published: 2021-12

Total Pages: 308

ISBN-13: 9781615470754

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Microsoft PowerPivot is a free add-on to Excel from Microsoft that allows users to produce new kinds of reports and analyses that were simply impossible before, and this book is the first to tackle DAX formulas, the core capability of PowerPivot, from the perspective of the Excel audience. Written by the world's foremost PowerPivot blogger and practitioner, the book's concepts and approach are introduced in a step-by-step manner tailored to the learning style of Excel users everywhere. The techniques presented allow users to produce, in hours or even minutes, results that formerly would have taken entire teams weeks or months to produce. The "pattern-like" techniques and best practices contained in this book have been developed and refined over two years of onsite training with Excel users around the world, and the key lessons from those seminars costing thousands of dollars per day are now available within the pages of this easy-to-follow guide. This updated edition covers new features introduced with Office 2015.

Mastering Microsoft Power BI
Mastering Microsoft Power BI

Author: Brett Powell

Publisher: Packt Publishing Ltd

Published: 2018-03-29

Total Pages: 632

ISBN-13: 1788292286

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Design, create and manage robust Power BI solutions to gain meaningful business insights Key Features Master all the dashboarding and reporting features of Microsoft Power BI Combine data from multiple sources, create stunning visualizations and publish your reports across multiple platforms A comprehensive guide with real-world use cases and examples demonstrating how you can get the best out of Microsoft Power BI Book DescriptionThis book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization. BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual. BI managers will learn how Power BI’s tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed. By the end of this book, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data using the tools and techniques in Microsoft Power BI.What you will learn Build efficient data retrieval and transformation processes with the Power Query M Language Design scalable, user-friendly DirectQuery and Import Data Models Develop visually rich, immersive, and interactive reports and dashboards Maintain version control and stage deployments across development, test, and production environments Manage and monitor the Power BI Service and the On-premises data gateway Develop a fully on-premise solution with the Power BI Report Server Scale up a Power BI solution via Power BI Premium capacity and migration to Azure Analysis Services or SQL Server Analysis Services Who this book is for Business Intelligence professionals and existing Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book to be useful. While understanding of the basic BI concepts is required, some exposure to Microsoft Power BI will be helpful.

Collect, Combine, and Transform Data Using Power Query in Excel and Power BI
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI

Author: Gil Raviv

Publisher: Microsoft Press

Published: 2018-10-08

Total Pages: 874

ISBN-13: 1509307974

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Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time you’re finished, you’ll be ready to wrangle any data–and transform it into actionable knowledge. Prepare and analyze your data the easy way, with Power Query · Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI · Solve common data preparation problems with a few mouse clicks and simple formula edits · Combine data from multiple sources, multiple queries, and mismatched tables · Master basic and advanced techniques for unpivoting tables · Customize transformations and build flexible data mashups with the M formula language · Address collaboration challenges with Power Query · Gain crucial insights into text feeds · Streamline complex social network analytics so you can do it yourself For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems.

Data at Work
Data at Work

Author: Jorge Camões

Publisher: New Riders

Published: 2016-04-08

Total Pages: 545

ISBN-13: 0134268784

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Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The same is true with information visualization: a product manager, statistician, and graphic designer each approach visualization from different perspectives. Data at Work was written with you, the spreadsheet user, in mind. This book will teach you how to think about and organize data in ways that directly relate to your work, using the skills you already have. In other words, you don’t need to be a graphic designer to create functional, elegant charts: this book will show you how. Although all of the examples in this book were created in Microsoft Excel, this is not a book about how to use Excel. Data at Work will help you to know which type of chart to use and how to format it, regardless of which spreadsheet application you use and whether or not you have any design experience. In this book, you’ll learn how to extract, clean, and transform data; sort data points to identify patterns and detect outliers; and understand how and when to use a variety of data visualizations including bar charts, slope charts, strip charts, scatter plots, bubble charts, boxplots, and more. Because this book is not a manual, it never specifies the steps required to make a chart, but the relevant charts will be available online for you to download, with brief explanations of how they were created.

Data Analysis and Visualization Using Python
Data Analysis and Visualization Using Python

Author: Dr. Ossama Embarak

Publisher: Apress

Published: 2018-11-20

Total Pages: 390

ISBN-13: 1484241096

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Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python. Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python. In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far. What You Will LearnUse Python programming techniques for data science Master data collections in Python Create engaging visualizations for BI systems Deploy effective strategies for gathering and cleaning data Integrate the Seaborn and Matplotlib plotting systems Who This Book Is For Developers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.