Microsoft Power BI quick start guide :: build dashboards and visualizations to make your data come to life /
Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights from your organization's data. This book will get you started with Business Intelligence using the Power BI tool, covering essential concepts like installation, building basic dashboards and visualiza...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2018.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights from your organization's data. This book will get you started with Business Intelligence using the Power BI tool, covering essential concepts like installation, building basic dashboards and visualizations to make your data come to life. |
| Beschreibung: | 1 online resource : illustrations |
| ISBN: | 9781789130928 1789130921 1789138221 9781789138221 |
Internformat
MARC
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| 245 | 1 | 0 | |a Microsoft Power BI quick start guide : |b build dashboards and visualizations to make your data come to life / |c Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana. |
| 246 | 3 | |a Microsoft Power Business Intelligence quick start guide | |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2018. | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 588 | 0 | |a Online resource; title from PDF file page (EBSCO, viewed December 17, 2019). | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Importing Data Options; Getting started; Importing data; Excel as a source; SQL Server as a source; Web as a source; DirectQuery; Limitations; Live Connection; Limitations; Which should I choose?; Summary; Chapter 2: Data Transformation Strategies; The Power Query Editor; Transform basics; Use First Row as Headers; Remove Columns; Change type; Add Column From Examples; Advanced data transformation options; Conditional Columns; Fill Down; Unpivot | |
| 505 | 8 | |a Merging QueriesAppending Queries; Leveraging R; Installation and configuration; The R Script transform; M formula language; #shared; Summary; Chapter 3: Building the Data Model; Building relationships; Editing relationships; Creating a new relationship; Working with complex relationships; Many-to-many relationships; Cross-filtering direction; Enabling filtering from the many side of a relationship; Role-playing tables; Importing the date table; Usability enhancements; Hiding tables and columns; Renaming tables and columns; Default summarization; How to display one column but sort by another | |
| 505 | 8 | |a Data categorizationCreating hierarchies; Summary; Chapter 4: Leveraging DAX; Building calculated columns; String functions -- Month, Year; Format function -- Month Year; Age calculation; SWITCH() -- age breakdown; Navigation functions -- RELATED; Calculated measures -- the basics; Calculated measure -- basic aggregations; Total Sales; Total Cost; Profit; Profit Margin; Optional parameters; Filter context; Calculate; Percentage of total calculation; Time intelligence; Year to Date Sales; YTD Sales (Fiscal Calendar); Prior Year Sales; Summary; Chapter 5: Visualizing Data; Data visualization basics | |
| 505 | 8 | |a Visuals for filteringInteractive filtering; The Slicer visual; Visualizing tabular data; The table visual; The Matrix visual; Visualizing categorical data; Bar and Column charts; Pie and Donut charts; The Treemap visual; The Scatter chart; Visualizing trend data; Line and Area charts; Combo charts; The Ribbon Chart; The Waterfall Chart; The Funnel Chart; Visualizing KPI data; The Gauge visual; The KPI visual; Visualizing geographical data; The Map visual; The Filled Map visual; The Shape Map visual; The ArcGIS Map visual; Leveraging Power BI custom visuals; Data visualization tips and tricks | |
| 505 | 8 | |a Edit interactionsThe Analytics pane; The Top N filter; Show value as; Summary; Chapter 6: Digital Storytelling with Power BI; Configuring drillthrough filters; Storytelling with the Selection pane and bookmarks; Bookmarks pane; Selection pane; Summary; Chapter 7: Using a Cloud Deployment with the Power BI Service; Deploying to the Power BI service; DATASETS; WORKBOOKS; Creating and interacting with dashboards; Creating your first dashboard; Asking your dashboard a question; Subscribing to reports and dashboards; Sharing your dashboards; Workspaces; Setting up row-level security | |
| 520 | |a Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights from your organization's data. This book will get you started with Business Intelligence using the Power BI tool, covering essential concepts like installation, building basic dashboards and visualizations to make your data come to life. | ||
| 630 | 0 | 0 | |a Microsoft Excel (Computer file) |0 http://id.loc.gov/authorities/names/n86025775 |
| 630 | 0 | 0 | |a Microsoft PowerPivot (Computer file) |0 http://id.loc.gov/authorities/names/no2011135961 |
| 630 | 0 | 7 | |a Microsoft Excel (Computer file) |2 fast |
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| 650 | 0 | |a Visual analytics. |0 http://id.loc.gov/authorities/subjects/sh2007004134 | |
| 650 | 0 | |a Management |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85080339 | |
| 650 | 6 | |a Visualisation de l'information |x Logiciels. | |
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| 650 | 6 | |a Analyse visuelle. | |
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| contents | Cover; Title Page; Copyright and Credits; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Importing Data Options; Getting started; Importing data; Excel as a source; SQL Server as a source; Web as a source; DirectQuery; Limitations; Live Connection; Limitations; Which should I choose?; Summary; Chapter 2: Data Transformation Strategies; The Power Query Editor; Transform basics; Use First Row as Headers; Remove Columns; Change type; Add Column From Examples; Advanced data transformation options; Conditional Columns; Fill Down; Unpivot Merging QueriesAppending Queries; Leveraging R; Installation and configuration; The R Script transform; M formula language; #shared; Summary; Chapter 3: Building the Data Model; Building relationships; Editing relationships; Creating a new relationship; Working with complex relationships; Many-to-many relationships; Cross-filtering direction; Enabling filtering from the many side of a relationship; Role-playing tables; Importing the date table; Usability enhancements; Hiding tables and columns; Renaming tables and columns; Default summarization; How to display one column but sort by another Data categorizationCreating hierarchies; Summary; Chapter 4: Leveraging DAX; Building calculated columns; String functions -- Month, Year; Format function -- Month Year; Age calculation; SWITCH() -- age breakdown; Navigation functions -- RELATED; Calculated measures -- the basics; Calculated measure -- basic aggregations; Total Sales; Total Cost; Profit; Profit Margin; Optional parameters; Filter context; Calculate; Percentage of total calculation; Time intelligence; Year to Date Sales; YTD Sales (Fiscal Calendar); Prior Year Sales; Summary; Chapter 5: Visualizing Data; Data visualization basics Visuals for filteringInteractive filtering; The Slicer visual; Visualizing tabular data; The table visual; The Matrix visual; Visualizing categorical data; Bar and Column charts; Pie and Donut charts; The Treemap visual; The Scatter chart; Visualizing trend data; Line and Area charts; Combo charts; The Ribbon Chart; The Waterfall Chart; The Funnel Chart; Visualizing KPI data; The Gauge visual; The KPI visual; Visualizing geographical data; The Map visual; The Filled Map visual; The Shape Map visual; The ArcGIS Map visual; Leveraging Power BI custom visuals; Data visualization tips and tricks Edit interactionsThe Analytics pane; The Top N filter; Show value as; Summary; Chapter 6: Digital Storytelling with Power BI; Configuring drillthrough filters; Storytelling with the Selection pane and bookmarks; Bookmarks pane; Selection pane; Summary; Chapter 7: Using a Cloud Deployment with the Power BI Service; Deploying to the Power BI service; DATASETS; WORKBOOKS; Creating and interacting with dashboards; Creating your first dashboard; Asking your dashboard a question; Subscribing to reports and dashboards; Sharing your dashboards; Workspaces; Setting up row-level security |
| ctrlnum | (OCoLC)1050953503 |
| dewey-full | 005.54 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.54 |
| dewey-search | 005.54 |
| dewey-sort | 15.54 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBU-on1050953503 |
| illustrated | Illustrated |
| indexdate | 2024-11-26T14:49:31Z |
| institution | BVB |
| isbn | 9781789130928 1789130921 1789138221 9781789138221 |
| language | English |
| oclc_num | 1050953503 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource : illustrations |
| psigel | ZDB-4-EBU |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Packt Publishing, |
| record_format | marc |
| spelling | Knight, Devin, author. Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana. Microsoft Power Business Intelligence quick start guide Birmingham, UK : Packt Publishing, 2018. 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF file page (EBSCO, viewed December 17, 2019). Cover; Title Page; Copyright and Credits; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Importing Data Options; Getting started; Importing data; Excel as a source; SQL Server as a source; Web as a source; DirectQuery; Limitations; Live Connection; Limitations; Which should I choose?; Summary; Chapter 2: Data Transformation Strategies; The Power Query Editor; Transform basics; Use First Row as Headers; Remove Columns; Change type; Add Column From Examples; Advanced data transformation options; Conditional Columns; Fill Down; Unpivot Merging QueriesAppending Queries; Leveraging R; Installation and configuration; The R Script transform; M formula language; #shared; Summary; Chapter 3: Building the Data Model; Building relationships; Editing relationships; Creating a new relationship; Working with complex relationships; Many-to-many relationships; Cross-filtering direction; Enabling filtering from the many side of a relationship; Role-playing tables; Importing the date table; Usability enhancements; Hiding tables and columns; Renaming tables and columns; Default summarization; How to display one column but sort by another Data categorizationCreating hierarchies; Summary; Chapter 4: Leveraging DAX; Building calculated columns; String functions -- Month, Year; Format function -- Month Year; Age calculation; SWITCH() -- age breakdown; Navigation functions -- RELATED; Calculated measures -- the basics; Calculated measure -- basic aggregations; Total Sales; Total Cost; Profit; Profit Margin; Optional parameters; Filter context; Calculate; Percentage of total calculation; Time intelligence; Year to Date Sales; YTD Sales (Fiscal Calendar); Prior Year Sales; Summary; Chapter 5: Visualizing Data; Data visualization basics Visuals for filteringInteractive filtering; The Slicer visual; Visualizing tabular data; The table visual; The Matrix visual; Visualizing categorical data; Bar and Column charts; Pie and Donut charts; The Treemap visual; The Scatter chart; Visualizing trend data; Line and Area charts; Combo charts; The Ribbon Chart; The Waterfall Chart; The Funnel Chart; Visualizing KPI data; The Gauge visual; The KPI visual; Visualizing geographical data; The Map visual; The Filled Map visual; The Shape Map visual; The ArcGIS Map visual; Leveraging Power BI custom visuals; Data visualization tips and tricks Edit interactionsThe Analytics pane; The Top N filter; Show value as; Summary; Chapter 6: Digital Storytelling with Power BI; Configuring drillthrough filters; Storytelling with the Selection pane and bookmarks; Bookmarks pane; Selection pane; Summary; Chapter 7: Using a Cloud Deployment with the Power BI Service; Deploying to the Power BI service; DATASETS; WORKBOOKS; Creating and interacting with dashboards; Creating your first dashboard; Asking your dashboard a question; Subscribing to reports and dashboards; Sharing your dashboards; Workspaces; Setting up row-level security Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights from your organization's data. This book will get you started with Business Intelligence using the Power BI tool, covering essential concepts like installation, building basic dashboards and visualizations to make your data come to life. Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775 Microsoft PowerPivot (Computer file) http://id.loc.gov/authorities/names/no2011135961 Microsoft Excel (Computer file) fast Microsoft PowerPivot (Computer file) fast Business intelligence Computer programs. Information visualization Computer programs. Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Visual analytics. http://id.loc.gov/authorities/subjects/sh2007004134 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Visualisation de l'information Logiciels. Gestion Informatique. Analyse visuelle. Operational research. bicssc Database design & theory. bicssc Information visualization. bicssc Information architecture. bicssc Enterprise software. bicssc Computers Data Modeling & Design. bisacsh Computers Enterprise Applications Business Intelligence Tools. bisacsh Management Data processing fast Information visualization Computer programs fast Business Data processing fast Visual analytics fast Electronic book. Knight, Brian, 1976- author. https://id.oclc.org/worldcat/entity/E39PCjwktXBwGqHY34qwJ3prjd Pearson, Mitchell, author. Quintana, Manuel, author. FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1860848 Volltext |
| spellingShingle | Knight, Devin Knight, Brian, 1976- Pearson, Mitchell Quintana, Manuel Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / Cover; Title Page; Copyright and Credits; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Importing Data Options; Getting started; Importing data; Excel as a source; SQL Server as a source; Web as a source; DirectQuery; Limitations; Live Connection; Limitations; Which should I choose?; Summary; Chapter 2: Data Transformation Strategies; The Power Query Editor; Transform basics; Use First Row as Headers; Remove Columns; Change type; Add Column From Examples; Advanced data transformation options; Conditional Columns; Fill Down; Unpivot Merging QueriesAppending Queries; Leveraging R; Installation and configuration; The R Script transform; M formula language; #shared; Summary; Chapter 3: Building the Data Model; Building relationships; Editing relationships; Creating a new relationship; Working with complex relationships; Many-to-many relationships; Cross-filtering direction; Enabling filtering from the many side of a relationship; Role-playing tables; Importing the date table; Usability enhancements; Hiding tables and columns; Renaming tables and columns; Default summarization; How to display one column but sort by another Data categorizationCreating hierarchies; Summary; Chapter 4: Leveraging DAX; Building calculated columns; String functions -- Month, Year; Format function -- Month Year; Age calculation; SWITCH() -- age breakdown; Navigation functions -- RELATED; Calculated measures -- the basics; Calculated measure -- basic aggregations; Total Sales; Total Cost; Profit; Profit Margin; Optional parameters; Filter context; Calculate; Percentage of total calculation; Time intelligence; Year to Date Sales; YTD Sales (Fiscal Calendar); Prior Year Sales; Summary; Chapter 5: Visualizing Data; Data visualization basics Visuals for filteringInteractive filtering; The Slicer visual; Visualizing tabular data; The table visual; The Matrix visual; Visualizing categorical data; Bar and Column charts; Pie and Donut charts; The Treemap visual; The Scatter chart; Visualizing trend data; Line and Area charts; Combo charts; The Ribbon Chart; The Waterfall Chart; The Funnel Chart; Visualizing KPI data; The Gauge visual; The KPI visual; Visualizing geographical data; The Map visual; The Filled Map visual; The Shape Map visual; The ArcGIS Map visual; Leveraging Power BI custom visuals; Data visualization tips and tricks Edit interactionsThe Analytics pane; The Top N filter; Show value as; Summary; Chapter 6: Digital Storytelling with Power BI; Configuring drillthrough filters; Storytelling with the Selection pane and bookmarks; Bookmarks pane; Selection pane; Summary; Chapter 7: Using a Cloud Deployment with the Power BI Service; Deploying to the Power BI service; DATASETS; WORKBOOKS; Creating and interacting with dashboards; Creating your first dashboard; Asking your dashboard a question; Subscribing to reports and dashboards; Sharing your dashboards; Workspaces; Setting up row-level security Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775 Microsoft PowerPivot (Computer file) http://id.loc.gov/authorities/names/no2011135961 Microsoft Excel (Computer file) fast Microsoft PowerPivot (Computer file) fast Business intelligence Computer programs. Information visualization Computer programs. Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Visual analytics. http://id.loc.gov/authorities/subjects/sh2007004134 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Visualisation de l'information Logiciels. Gestion Informatique. Analyse visuelle. Operational research. bicssc Database design & theory. bicssc Information visualization. bicssc Information architecture. bicssc Enterprise software. bicssc Computers Data Modeling & Design. bisacsh Computers Enterprise Applications Business Intelligence Tools. bisacsh Management Data processing fast Information visualization Computer programs fast Business Data processing fast Visual analytics fast |
| subject_GND | http://id.loc.gov/authorities/names/n86025775 http://id.loc.gov/authorities/names/no2011135961 http://id.loc.gov/authorities/subjects/sh85018264 http://id.loc.gov/authorities/subjects/sh2007004134 http://id.loc.gov/authorities/subjects/sh85080339 |
| title | Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / |
| title_alt | Microsoft Power Business Intelligence quick start guide |
| title_auth | Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / |
| title_exact_search | Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / |
| title_full | Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana. |
| title_fullStr | Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana. |
| title_full_unstemmed | Microsoft Power BI quick start guide : build dashboards and visualizations to make your data come to life / Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana. |
| title_short | Microsoft Power BI quick start guide : |
| title_sort | microsoft power bi quick start guide build dashboards and visualizations to make your data come to life |
| title_sub | build dashboards and visualizations to make your data come to life / |
| topic | Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775 Microsoft PowerPivot (Computer file) http://id.loc.gov/authorities/names/no2011135961 Microsoft Excel (Computer file) fast Microsoft PowerPivot (Computer file) fast Business intelligence Computer programs. Information visualization Computer programs. Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Visual analytics. http://id.loc.gov/authorities/subjects/sh2007004134 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Visualisation de l'information Logiciels. Gestion Informatique. Analyse visuelle. Operational research. bicssc Database design & theory. bicssc Information visualization. bicssc Information architecture. bicssc Enterprise software. bicssc Computers Data Modeling & Design. bisacsh Computers Enterprise Applications Business Intelligence Tools. bisacsh Management Data processing fast Information visualization Computer programs fast Business Data processing fast Visual analytics fast |
| topic_facet | Microsoft Excel (Computer file) Microsoft PowerPivot (Computer file) Business intelligence Computer programs. Information visualization Computer programs. Business Data processing. Visual analytics. Management Data processing. Visualisation de l'information Logiciels. Gestion Informatique. Analyse visuelle. Operational research. Database design & theory. Information visualization. Information architecture. Enterprise software. Computers Data Modeling & Design. Computers Enterprise Applications Business Intelligence Tools. Management Data processing Information visualization Computer programs Business Data processing Visual analytics Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1860848 |
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