Ms Cloud Summit 2017 - Power Bi, le tour complet 2017
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Ms Cloud Summit 2017 - Power Bi, le tour complet 2017
- 1. Franck Mercier Technical Evangelist – Microsoft - @FranmerMS Power BI, le tour complet 2017 Isabelle Van Campenhoudt Data Platform MVP – ShareQL - @thesqlgrrrl
- 2. WHO’S WHO SQL Server MVP, Brussels Consultant, speaker, trainer, GUSS Board Member, PASS V-Chapter Leader Managing partner de www.ShareQL.com SQL Server since 1999 Blog: http://thesqlgrrrl.wordpress.com/ ivc@ShareQL.com @thesqlgrrrl Isabelle Van Campenhoudt
- 3. WHO’S WHO Franck Mercier Technical Evangelist Microsoft France @FranmerMS http://aka.ms/franck
- 4. AGENDA Introduction Power BI Services Power BI Desktop Sécurité Mobilité Temps reel Industrialisation Futur
- 5. Qu’est-ce que Power BI ? Power BI Desktop Outil gratuit de création de modèles et rapports interactifs multi sources de données Power BI Service Service Cloud d’analyses et de visualisation de données. (https://app.powerbi.com) Add in Power BI pour Excel Création de modèles et rapports interactifs multi sources de données au sein d’Excel App Power BI Application Power BI pour appareils mobiles
- 6. Les bénéfices de Power BI Modèles de tableaux de bords et rapports disponibles pour les plus grand services Saas Intégration avec Azure et les produits Microsoft Prise en main rapide et exploration des données en langage naturel Tableaux de bords en temps réel Déploiement rapide, connexion hybride. Solution prête pour l’entreprise Connexion sécurisée aux données Cloud ou sur site
- 7. Power BI vue d’ensemble Power BI service (http://app.powerbi.com) Sources de données SaaS solutions E.g. Marketo, Salesforce, GitHub, Google analytics On-premises data E.g. Analysis Services Organizational content packs Corporate data sources, or external data services Azure services E.g. Azure SQL, Stream Analytics Excel files Workbook data or data models Power BI Desktop files Related data from files, databases, Azure, and other sources Partage et collaboration Requête en langage naturel Mise à jour des données Visualisations Temps réel Content packs Rapports Jeux de données01001 10101 Power BI REST API Préparation Exploration PartageRapport Power BI Desktop / Excel & Power BI Add-in / Power BI Embedded
- 9. Les bases Power BI service propose un service simple et intuitif pour interagir avec toutes vos données Power BI service a été conçu pour : • Simplifier l’accès aux données hétérogènes • Réaliser rapidement des analyses approfondies de vos données • Créer des tableaux de bord et rapport mettant en avant vos informations clefs • Partager vos tableaux de bord et rapports
- 10. Simple d’accès : https://app.powerbi.com •Microsoft Edge •Internet Explorer, 10 or 11 •Chrome desktop, latest version •Safari Mac, latest version •Firefox desktop, latest version Les bases Compatible avec de nombreux navigateurs web :
- 12. Démarrer Building Blocks • Dashboard • Reports • DataSets
- 13. Explorer Explore
- 14. Report
- 15. Partage & collaboration •Partage des tableaux de bord et de tuiles •Groupes Office 365 •Content packs organisationnels •Partage public des rapports •Embarqué dans SharePoint Online •Export vers PowerPoint (preview) • Partage des tableaux de bords dans l’organisation et à l’extérieur. Possibilité d’appliquer la sécurité RLS. • Création de groupe Office 365 pour collaborer autour des rapports, discussions et documents • Possibilité de partage dans SharePoint Online, dans dans un site web public • Intégration dans PowerPoint Share & collaborate
- 16. Nouvelles fonctionnalités Epingler des éléments de SQL Server Reporting Services Epingler des tables Excel (range) Epingler snapshots of Excel elements Epingler des données temps reels Analyses rapides (Quick Insights) Export dans Excel Publication web Row-level security Alertes sur les données Cortana pour Power BI Dashboard data classification …
- 17. Power BI Service
- 18. POWER BI DESKTOP
- 20. Power BI Desktop • Récupérer et préparer les données avec des connecteurs et fonctions avancées • Transformation des données et création de modèles d’analyses des données • Libre exploration des données • Exécution de scripts R directement dans Power BI Desktop • Création de rapports interactifs avec des “data visualization” modernes Power BI Desktop Explore Share & collaborate Prepare Report
- 21. Share & collaborate Report Explore Prepare Power BI Desktop •Source de données •Nettoyage •“Mash-up” Récupérer, nettoyer et mixer les données
- 22. File Database Azure Online Services Other • CSV • Excel • JSON • SharePoint Folder • Text • XML • Access • Amazon Redshift • DirectQuery for SQL Server • IBM DB2 • IBM Informix • Impala • MySQL • Oracle • PostgreSQL • SAP Business Warehouse • SAP HANA • Snowflake • SQL Server • SQL Server Analysis Services • Sybase • Teradata • Blob Storage • Data Lake Store • DirectQuery for SQL Database • DocumentDB • HDInsight • HDInsight Spark • Marketplace • SQL Database • SQL Data Warehouse • Table Storage • appFigures • Azure Enterprise • comScore Digital Analytics • Dynamics 365 for Financials • Dynamics CRM Online • Exchange Online • Facebook • GitHub • Google Analytics • MailChimp • Marketo • Mixpanel • Planview Enterprise • ProjectPlace • QuickBooks Online • Salesforce • SharePoint Online • Smartsheet • Spark • SparkPost • SQL Sentry • Stripe • SweetIQ • Troux • Twilio • tyGraph • Webtrends • Zendesk • Active Directory • Blank Query • Hadoop File (HDFS) • Microsoft Exchange • OData Feed • ODBC • OLEDB • R Script • SharePoint List • Web Nombreuses sources de données disponibles Navigation rapide dans les données avec la technologie “In-Memory” Filtrer la source de donner avant le chargement des données Récupération automatique des tables liés lors de la connexion aux sources de données Data sources available in Power BI Desktop Share & collaborate Report Explore Prepare Accès aux donnéesPower BI Desktop
- 23. Feature Modes de connexion Share & collaborate Report Explore Prepare Power BI Desktop Import DirectQuery Live/Exploration Principes • ETL* • Téléchargement des données • Sélection des tables • Pas de téléchargement de données • Requêtes déclenchées depuis les visualisations du rapport • Exploration des objets sources depuis PBID • Pas de téléchargement de données • Requêtes déclenchées depuis les visualisations du rapport Sources de données supportées • Toutes les sources de données (>60 sources) • SQL Server • Azure SQL Database • Azure SQL Data Warehouse • SAP HANA • Oracle • Teradata • SQL Server Analysis Services (Tabular & Multidimensional) Nombre de sources de données par rapport • Illimité • 1 • 1 Transformations • Toutes les transformations (100’s) • Support partiel (en fonction des sources de données) • None Possibilités de Mashup • Merge (Joins) • Append (Union) • Parameterized queries • Merge (Joins) • Append (Union) • None Création de modèle • Relations • Tables et colonnes calculées & mesures • Hierarchies • Colonnes calculées • Mesures • Changement de type des colonnes • None 3 possibilités de connexion : Import, DirectQuery, Live/Exploration * Extract, Transform and Load
- 24. Feature • Retirer des lignes • Renommer des colonnes • Changer le type de données • Pivot et « unpivot » des colonnes • Supprimer des relations • Identifier et corriger les erreurs • Fusionner des requêtes • Extraire et isoler des informations • Nom des mois depuis des valeurs Date/Heure Transformations communes• Transformer les données via une interface intuitive o Sélection des données à intégrer o Nettoyage des données / Retirer les erreurs o Définition des étapes de transformation o Modification du type de données • Adapté pour les scenarios avancés de “Mashup” de données • Exécution de scripts R Share & collaborate Report Explore Prepare Transformer les données en fonction des besoinsPower BI Desktop Shape and combine data
- 25. Feature Création automatique d’un modèle via l’importation des données o Les relations sont détectées automatiquement, les données sont catégorisées et des agrégations par défaut sont appliquées o Création de relations entre les tables par « drag & drop » Enrichissement du modèle permettant des calculs complexes Création de mesures et colonnes calculées Haute performance avec un moteur en mémoire Protection des données avec la fonction Row Level Security (RLS). Création de modèle Share & collaborate Report Explore Prepare Power BI Desktop
- 26. Feature Exploration des données via de nombreux objets de visualisations o Pivoter et découper les données o Naviguer dans les données o Croisement de plusieurs jeux de données o Filtres et tri des données (dont min & max) o Fonctions de calculs rapides o Changement simple de visualisation o Fonctions d’analyses natives : group, top n, forecast,… Filtrer les données sur plusieurs niveaux : Visualisation, pages, rapport Utilisation des visualisations R Share & collaborate Report Explore Prepare Explorerles données en toute libertéPower BI Desktop
- 27. Feature • Création de rapports intéractifs • Intégration de visualisations personnalisées − https://app.powverbi.com/visuals • Fusion de données de sources multiple dans un seul rapport • Intégration de scripts R pour la visualisation des données • Création de rapports optimisés pour les mobiles • Création de rapports avec des indicateurs de tendance • Info bulles personnalisables • Formatage conditionnel • Echelle linéaire ou logarithmique sur l’axe Y Création de rapports avancés : visualisations personnalisées Share & collaborate Report Explore Prepare Power BI Desktop
- 28. Feature Enregistrez Power BI Desktop report fichiers et publiez le facilement vers Power BI Partagez avec les autres utilisateurs Power BI dans votre organisation Copiez vos table, cellules ou colonnes Utilisez Power BI template (.pbit file) pour sauver et partager la définition du report, du data model et des queries, et non les données actuelles… Intégration avec Cortana Share & collaborate Report Explore Prepare Partagerdes rapports,des données avec un large publicPower BI Desktop
- 29. Power BI Desktop
- 30. MOBILITÉ
- 31. Applications Mobiles • Installez des applications mobiles natives pour accéder vos Dashboard, disponibles pour • Windows • iOS (iPhone and iPad) • Android • Fonctionnalité incluses • Mettez vos visualisations principales en favoris • Zoom in and out des visualisations • Annotation des visualisations et partage de capture • Configurer des alertes pour etre notifié des Indicateurs Business critiques-- KPIs
- 32. Application Mobile • Création dans Power BI Desktop
- 33. Mobilité
- 35. Qu’est ce que Power BI Embedded ? C’est un service Azure ! Intégration des rapports Power BI au sein de vos applications
- 36. Modèle conceptuel Power BI Embedded • Service Azure • Pas de licence pour l’utilisateur final • Gestion de l’authentification
- 37. SÉCURITÉ
- 38. Row-level security (RLS) • Il est possible de restreindre l’accès aux jeux de données • Les filtres fonctionnent au niveau de l’enregistrement et sont assignés à des rôles • Les utilisateurs sont ensuite assignés aux rôles • Pour le propriétaire du jeu de donnée il est possible de: • Assigner des rôles aux utilisateurs • Voir des rapports sur les rôles et les utilisateurs…
- 39. Row-level security (RLS) • Limitations: • Uniquement défini sur des jeux de données crée avec Power BI Desktop • Ne sont supporté que les données importées et les connexions DirectQuery • Q&A et Cortana ne sont pas supportés • L’analyze dans Excel n’est pas supporté • Le partage extérieur n’est pas supporté • If applied to a dataset owned by a group, roles will only be applied to read-only members Note: Fonctionnalité PowerBI Pro
- 40. Power BI Embedded avec RLS
- 41. TEMPS RÉEL
- 42. Architecture Event Hub & Stream Analytics
- 43. Il existe deux façons de créer un flux de données en continu en temps réel qui peut être consommé et visualisé par Power BI: Power BI REST API utilisant un point de terminaison en temps réel PubNub
- 44. Temps réel
- 46. Les clés de “L’industrialisation” •Rafraichissement sur des sources “vivantes” Partage et collaboration Sécurité Applications embarquées
- 47. Garder vos données à jour dans Power BI Power BI Gateway—Personnel • Scénario individuel • Les utilisateurs peuvent installer Power BI Gateway— Personal pour rafraichir les sources de données on premises supportées • Seulement en 64-bit • Utiliser “Runs as a service” si configure avec un compte administrator account; sinon “ runs as an application” • Le transfert de données est sécurisé (SSL) via Azure Service Bus • Aucune ouverture de ports de firewall requise • Certain scenarios ne peuvent pas etre planifiée pour du rafraichissement de données: • Instructions SQL personnalisées • Données d’une feuille Excel • Direct Connect or DirectQuery data sources
- 48. Garder vos données à jour dans Power BI On-Premises Data Gateway • Scénario d’entreprise • L’IT peut installer On-Premises Data Gateway au service de grands groups d’utilisateurs pour rafraichir des sources de données supportées • Successeur de Power BI Gateway—Enterprise • IT peut: • Gere de façon centralisée les utilisateurs et leur accès aux données • Gain de visibilité dans l’usage du gateway , sources de données les plus utilisées et leurs utilisateurs • Sources de données • SQL Server Analysis Services (Multidimensional and Tabular modes) • SQL Server • Oracle, Teradata, SAP HANA Note: For Analysis Services, the Power BI user is passed to Analysis Services as the effective username
- 49. On-premises data sources On-premises data gateway One gateway for multiple cloud services and experiences Files, SharePointSQL Server SQL Server Analysis Services Other data sources Cloud services Preview PowerApps Preview Microsoft FlowPower BI Azure Service Bus Application Gateway Data source connection credentials can only be decrypted by the gateway Gateway Cloud Service Data source connection credentials are encrypted Read access, scheduled refresh, live connection Live connection, CRUD support (create, read, update and delete) Azure Logic Apps
- 50. FUTUR
- 52. Futur Intégration de Power BI dans SSRS • VM de démo dans Azure • https://blogs.msdn.mic rosoft.com/sqlrsteambl og/2016/12/16/power- bi-reports-in-sql-server- reporting-services- feedback-on-the- technical-preview/
- 53. SSRS
- 54. Conclusion
- 55. Merci Beaucoup! Thank you! Join the conversation #MSCloudSummit @MSCloudSummit
- 56. EVALUATION
Hinweis der Redaktion
- Key message: There are several capabilities that differentiate Power BI from other offerings in the market. Talking points: Power BI is a cloud-based analytics service that provides faster time to insight. It is used for visualizing, exploring and extracting insights from data. It brings together data from diverse sources to deliver rich, comprehensive views of business operations. What that means is, with Power BI, you can see all of your data through a single pane of glass, and create an analytics environment in minutes to monitor data and share reports. Live dashboards and reports show visualizations and KPIs from data that reside both on-premises and in the cloud, providing a consolidated view across your business regardless of where your data lives. There are several capabilities that are unique to Power BI – these include: Pre-built dashboards and reports for popular SaaS solutions such as Marketo, Salesforce, GitHub, ZenDesk, Dynamics CRM, and many others. Dashboards and visualizations that support real-time updates. Secure, live connection to on-premises data sources to drive insight across the entire range of organizational information (Analysis Services, Azure SQL Database, SQL Database Auditing, Azure SQL Data Warehouse). Automated scheduled refresh to keep Power BI data in sync with on premises data sources. Native mobile applications for keeping users connected on the go. Easy integration with other Microsoft offerings, from Excel to Azure services. Intuitive data exploration, which enables users to ask questions of their data in plain English. To summarize, Power BI is a SaaS offering that enables anyone to easily connect to their data, create live operational dashboards and explore data via interactive visualizations.
- Key message: There are several capabilities that differentiate Power BI from other offerings in the market. Talking points: Power BI is a cloud-based analytics service that provides faster time to insight. It is used for visualizing, exploring and extracting insights from data. It brings together data from diverse sources to deliver rich, comprehensive views of business operations. What that means is, with Power BI, you can see all of your data through a single pane of glass, and create an analytics environment in minutes to monitor data and share reports. Live dashboards and reports show visualizations and KPIs from data that reside both on-premises and in the cloud, providing a consolidated view across your business regardless of where your data lives. There are several capabilities that are unique to Power BI – these include: Pre-built dashboards and reports for popular SaaS solutions such as Marketo, Salesforce, GitHub, ZenDesk, Dynamics CRM, and many others. Dashboards and visualizations that support real-time updates. Secure, live connection to on-premises data sources to drive insight across the entire range of organizational information (Analysis Services, Azure SQL Database, SQL Database Auditing, Azure SQL Data Warehouse). Automated scheduled refresh to keep Power BI data in sync with on premises data sources. Native mobile applications for keeping users connected on the go. Easy integration with other Microsoft offerings, from Excel to Azure services. Intuitive data exploration, which enables users to ask questions of their data in plain English. To summarize, Power BI is a SaaS offering that enables anyone to easily connect to their data, create live operational dashboards and explore data via interactive visualizations.
- Power BI Knowledgebase: https://support.powerbi.com/knowledgebase/topics/88770-services-in-power-bi
- Quid nouvelle interface ?
- Power BI knowledgebase: Power BI Pro content: https://support.powerbi.com/knowledgebase/articles/685479-power-bi-pro-content-what-is-it
- 1) Data preparation…. Get data, then transform and model 2) Exploration: Free form data exploration, canvas experience. 3) Report … Create interactive reports 4) Share and collaborate with Power BI Power BI Desktop is a free desktop companion application for the Power BI service. It enables visual data exploration and report-authoring. Complementary to Excel, it combines the capabilities of Power Query, Power Pivot & Power View into a single interface. With Power BI Desktop, you can: Acquire and prepare data using extensive query capabilities Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report Establish data structure, then transform and analyze data Visualize and explore your data in new ways through a freeform drag-and-drop canvas Author reports with a broad range of modern data visualizations Publish beautiful, interactive reports directly to powerbi.com Securely share reports through unique, curated content library approach
- Key message: Power BI Desktop allows you to connect to data sources beyond what powerbi.com supports – constantly working and adding new data sources For more information visit: https://powerbi.microsoft.com/en-us/documentation/powerbi-desktop-data-sources/ Talking points: The four major categories of data source are files, databases, Azure services and other (SaaS category was removed) Power BI Desktop supports a number of data sources that other competing services do not Navigate data quickly with in-memory processing that optimizes performance Pare down datasets to only what’s needed by editing queries before data is loaded to Power BI Desktop Additional SAP connectivity details are in the Appendix slides
- Key message: Power BI Desktop allows you to connect to data sources beyond what powerbi.com supports – constantly working and adding new data sources For more information visit: https://powerbi.microsoft.com/en-us/documentation/powerbi-desktop-data-sources/ Talking points: The four major categories of data source are files, databases, Azure services and other (SaaS category was removed) Power BI Desktop supports a number of data sources that other competing services do not Navigate data quickly with in-memory processing that optimizes performance Pare down datasets to only what’s needed by editing queries before data is loaded to Power BI Desktop Additional SAP connectivity details are in the Appendix slides
- Power BI Desktop enables extensive data analysis, enabling you to produce rich data models using formulas and relationships DirectQuery data sources – user can specify DirectQuery vs. Import mode in data source dialogs Automatically create a model simply by importing data Power BI Desktop detects relationships automatically, categorizes data and applies default summarization Refine models to enable complex calculations Identify relationships between datasets from a variety of sources Create relationships between tables manually or using the AutoDetect feature Desktop’s AutoDetect feature accelerates your analysis Adjust relationship type (one-to-one, many-to-many or many-to-one) and cross-filter data for specific insights Define calculations – known as measures – to generate new fields for use in reports. Measures create new information from existing data already in your model Measures are used in some of the most common data analysis; for example, sums, averages, minimum or maximum values, counts, or more advanced calculations you create yourself using a DAX formula. The calculated results of measures are always changing in response to your interaction with your reports, allowing for fast and dynamic ad-hoc data exploration You can use automatically generated measures, or create custom measures with Data Analysis Expressions (DAX) formulas This helps you enrich your data model Produce exactly the results you need using the DAX library of 200+ formula elements Use DAX library to create calculated tables too… Use DAX time intelligence functions with the built-in time intelligence functions Develop advanced analytics using a combination of measures and relationships Uncover correlations, highlight exceptions and understand business outcomes
- Prepare and explore data intuitively, using functionality similar to that of Power Query for Excel Adjust, or shape, data into the form and format that fits your needs A few examples – you can adjust data type, remove columns, change table names and delete relationships Use the Applied Steps view in Query Settings to precisely tune how the data is shaped - e.g. adjust the order of data-shaping steps, or remove steps if needed Power Query records your sequence of data exploration activities, making it easy to re-apply them to additional sets of data Manage queries easily or reorder queries via drag and drop Use parameters in your queries that can be referenced later in the UX. Define allowed values for parameters. Modify data types to support specific calculation requirements – some calculations require data in a specific format Combine data from different types of data sources to ensure consistent query semantics Add conditional columns Built-in transformation to extract the WeekDay or Month names from a given Date/Time column. Similarly, you can extract the Start or End of an Hour based on a Date/Time or Time column. Mashup data across multiple data sources into a single table to support advanced analysis and reporting You can take advantage of R inside the Query Editor to perform data cleansing, advanced data shaping, and analytics in datasets including completion of missing data, predictions, and clustering, just to name a few.
- Power BI Desktop enables extensive data analysis, enabling you to produce rich data models using formulas and relationships Automatically create a model simply by importing data Power BI Desktop detects relationships automatically, categorizes data and applies default summarization Refine models to enable complex calculations Identify relationships between datasets from a variety of sources Create relationships between tables manually or using the AutoDetect feature Desktop’s AutoDetect feature accelerates your analysis Adjust relationship type (one-to-one, many-to-many or many-to-one) and cross-filter data for specific insights Define calculations – known as measures – to generate new fields for use in reports. Measures create new information from existing data already in your model Measures are used in some of the most common data analysis; for example, sums, averages, minimum or maximum values, counts, or more advanced calculations you create yourself using a DAX formula. The calculated results of measures are always changing in response to your interaction with your reports, allowing for fast and dynamic ad-hoc data exploration You can use automatically generated measures, or create custom measures with Data Analysis Expressions (DAX) formulas This helps you enrich your data model Produce exactly the results you need using the DAX library of 200+ formula elements Use DAX library to create calculated tables too… Develop advanced analytics using a combination of measures and relationships Uncover correlations, highlight exceptions and understand business outcomes Define synonyms for improved Q&A experience in Power BI service Power BI row-level security allows you to secure your data at the row level by defining security filters for Roles or in a table in the model. You can define a Role and an associated security filter in the Power BI desktop and then assign members to that Role in the service. Once you have defined security filters for roles, you can test them in action by viewing the data as a specific Role in either the Power BI Desktop or the Power BI Service.
- The reporting step is where the visual data exploration enabled by Power BI Desktop really comes to life Note: you can move directly from connecting to (importing) data to reporting – data preparation, modeling, and analysis are optional intermediate steps. Because Power BI Desktop automatically creates a data model for you upon data import, you can immediate generate reports Explore data in a variety of ways and across multiple visualizations Select data elements and sort data Filter data and use cross-filter capabilities Drill into and across datasets, with support for inline hierarchies Pivot and slice data Power BI Desktop enables you to visualize data in a number of ways and easily author reports Depict data in compelling reports that tell stories using a range of interactive visualization Use data from different sources in a single, consolidated report – create relationships between different data sources to create a data model, that you can then use in a report R-powered custom visuals Use report gridlines and snap to grid for layout Mobile report layout Show trend lines Display record set for visualization Tables: Use conditional table formatting and built-in table styles Maps: Shape Map visual supports use of custom maps (TopoJSON format), use ArcGIS Maps Use date slicers Format maps You can select, transform and mashup data via a freeform, drag-and-drop canvas Explore data in a variety of ways and across multiple visualizations Select data elements and sort data Filter data, leveraging cross-filter capability Drill into and across datasets Pivot and slice data Change visualization types Use built-in analytics options for grouping, binning, top N filter, include/exclude data points Show trend lines Use forecasting Display record set for visualization Tables: Use conditional table formatting and built-in table styles Maps: Shape Map visual supports use of custom maps (TopoJSON format), use ArcGIS Maps Use date slicers Use Quick Calc functions, e.g. to calculate and show the percent of the grand total for each data value.
- The reporting step is where the visual data exploration enabled by Power BI Desktop really comes to life Note: you can move directly from connecting to (importing) data to reporting – data preparation, modeling, and analysis are optional intermediate steps. Because Power BI Desktop automatically creates a data model for you upon data import, you can immediate generate reports Power BI Desktop enables you to visualize data in a number of ways and easily author reports Depict data in compelling reports that tell stories using a range of interactive visualization Use data from different sources in a single, consolidated report – create relationships between different data sources to create a data model, that you can then use in a report Use R-powered custom visuals, with your own R IDE Use report gridlines and snap to grid for layout Mobile report layout Show trend lines Display record set for visualization Tables: Use conditional table formatting and built-in table styles Maps: Shape Map visual supports use of custom maps (TopoJSON format), use ArcGIS Maps Use date slicers Format maps You can select, transform and mashup data via a freeform, drag-and-drop canvas Explore data in a variety of ways and across multiple visualizations Select data elements and sort data Filter data, leveraging cross-filter capability Drill into and across datasets Pivot and slice data Change visualization types Use built-in analytics options for grouping, binning, top N filter, include/exclude data points Show trend lines Use forecasting functions Display record set for visualization Tables: Use conditional table formatting and built-in table styles Maps: Shape Map visual supports use of custom maps (TopoJSON format), use ArcGIS Maps Use date slicers Customize tooltips – add more context and detail for the end user
- Once you are ready to publish your report and the visualizations within it, you can surface it to a broader audience by publishing to the Power BI service Save the Power BI Desktop file, then go into the Get Data interface on powerbi.com to upload the report and share it with others This enables you to give Power BI users access to richer data models and reports than they could create on their own If you’re not ready to move your PBIX reports and data to the cloud, but you want to share analytics content across the enterprise, giving Power BI Desktop users the ability to publish PBIX files to an on-premise or private cloud server, you can use the “Publish to Pyramid Server” functionality.
- Power BI Knowledgebase: https://support.powerbi.com/knowledgebase/topics/75729-power-bi-app-for-windows https://support.powerbi.com/knowledgebase/topics/78002-iphone-app-power-bi-for-ios https://support.powerbi.com/knowledgebase/topics/85887-power-bi-app-for-android-phones
- Power BI Knowledgebase: https://support.powerbi.com/knowledgebase/topics/75729-power-bi-app-for-windows https://support.powerbi.com/knowledgebase/topics/78002-iphone-app-power-bi-for-ios https://support.powerbi.com/knowledgebase/topics/85887-power-bi-app-for-android-phones
- https://powerbi.microsoft.com/en-us/documentation/powerbi-admin-rls/
- Power BI Knowledgebase: https://support.powerbi.com/knowledgebase/articles/474669-data-refresh-in-power-bi
- Power BI Knowledgebase: https://powerbi.microsoft.com/en-us/documentation/powerbi-gateway-enterprise/