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Power Query for Power BI and Excel / by Chris Webb
Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink BücherPublisher: [Berkeley, Calif.] : Apress, 2014Description: Online-Ressource (XV, 272 p. 326 illus, online resource)ISBN:- 9781430266921
- 9781430266914
- 004
- QA76.76.A65
Contents:
Summary: This book is a practical guide to Power Query (part of the Microsoft Power BI suite) which automates the process of getting data into Excel. Topics covered include: importing data from sources including relational databases, text files, web pages, Excel workbooks, Facebook, Windows Azure Marketplace, Wikipedia, and OData feeds; building repeatable processes to filter, clean, aggregate, and transform data; loading data into an Excel table or directly into the Excel 2013 Data Model; writing complex expressions in Power Query's M expression language; sharing queries and their data with other users; and positioning data for further analysis using Power View, Power Map, Power Pivot, and the rest of Microsoft's Power BI suite. This book is for readers interested in business intelligence from data analysisSummary: Power Query for Power BI and Excel is a book for people who are tired of copying and pasting data into Excel worksheets. Power Query, part of the Microsoft Power BI suite, is a tool that automates the process of getting data into Excel and will save you hours of dull, repetitive, and error-prone work! Power Query makes it easy to extract data from many different data sources, filter that data, aggregate it, clean it and perform calculations on it, finally loading that data into either your worksheet or directly into the new Excel 2013 Data Model used by Power Pivot. This concise, practical book provides a complete guide to Power Query and how to use it to solve all of your Excel data-loading problems. Power Query for Power BI and Excel goes well beyond the surface of what Power Query can do. The book goes deep into the underlying M language, showing you how to do amazing things that aren’t going to be possible from just the GUI interface that is covered in most other books. You’ll have full command of the GUI, and you’ll be able to drop into the M language to go beyond what the GUI provides. The depth in this book makes it a must-have item for anyone who is pushing Power BI and Excel to their limits in the pursuit of business intelligence from data analysis. Teaches the basics of using Power Query to load data into Excel Helps you solve common, data-related problems with Power Query Shows how to write your own solutions in the powerful M languagePPN: PPN: 1658874196Package identifier: Produktsigel: ZDB-2-CWD
Contents at a Glance; Chapter 1: Introducing Power Query; Power Query and Power BI; Power BI Components; Power Query; Power Pivot and the Excel 2013 Data Model; Power View; Power Map; SharePoint and Power BI for Office 365; Mobile BI; Workflow Summary; Power Query and Power BI Licensing; Installing Power Query; Power Query Concepts; Power Query Walkthrough; Creating a Simple Query; Editing an Existing Query; Why Use Power Query?; Faster Release Cycles; Connectivity to New Data Sources; Improved Connectivity to Existing Data Sources; Automate Data Loads
Create Transformations and Calculations EasilyDo the Work in the Data Source, Not on the Desktop; Share Queries between Workbooks and Users; Summary; Chapter 2: Power Query Data Sources; Querying Relational Databases; Connecting to SQL Server; Navigating through a Database in the Query Editor; Connecting to Other Databases; Extracting Data from Files; Working with CSV Files; Working with Text Files; Working with XML Files; Working with JSON Files; Working with Excel Files; Working with Folders and Multiple Files; Working with Data from the Windows File System
Combining Data from Multiple Text FilesWorking with Data from the Current Excel Workbook; Working with Data from the Web; Scraping Data from Web Pages; Calling a Web Service; Finding Data Using Power Query Online Search; Searching for Public Data; Searching for Shared Queries and Other Organizational Data; Using the Search Tab; Using Other Queries as Data Sources; Referencing Entire Queries; Duplicating Queries; Using Individual Values from Queries; OData Data Sources; Working with Generic OData Web Services; Working with Data from Excel Workbooks Stored in SharePoint
Working with Data from SharePoint ListsWorking with Data from the Windows Azure Marketplace; Working with Data from Windows Azure Blob Storage and Table Storage; Working with Data from HDFS and HDInsight; Working with Active Directory Data; Working with Data from Microsoft Exchange; Working with Data from Facebook; Working with Data from SAP BusinessObjects; Reusing Recent Data Sources; Managing Credentials; The Importance of Locale; Setting a Default Locale; CSV Files and Code Pages; Summary; Chapter 3: Transforming Data with Power Query; Queries and Steps; Working with Columns
Naming ColumnsMoving Columns; Removing Columns; Splitting Columns; Merging Columns; Setting the Data Type of a Column; Changing Data Types and Locales; Filtering Rows; Filtering Rows Using Auto-Filter; Filtering Rows Using Number, Text, and Date Filters; Number Filters; Text Filters; Date Filters; Filtering Rows by Range; Removing Duplicate Values; Filtering Out Rows with Errors; Sorting a Table; Changing Values in a Table; Replacing Values with Other Values; Text Transforms; Number Transforms; Date/Time/Duration Transforms; Filling Up and Down to Replace Missing Values; Aggregating Values
Unpivoting Columns to Rows
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