Formulating Power BI Enterprise Strategy
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The document outlines an agenda for a presentation on formulating a Power BI enterprise strategy. The agenda includes introductions, presentations on how Power BI empowers businesses and planning a data access strategy, a question and answer session, and information about an upcoming two-day Power BI workshop. It also provides background information about the presenters and describes various Power BI tools and capabilities for business users, data analysts, BI professionals, and developers.
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Formulating Power BI Enterprise Strategy
- 1. Formulating a Power BI Enterprise Strategy Teo Lachev, Prologika Brian Jackson, Microsoft
- 2. Agenda • 8:30-9:00 – Networking and introductions • 9:00-10:30 – How Power BI empowers businesses like yours • 10:30-10:40 – Break • 10:40-11:45 – Plan a data access strategy, hybrid architecture case study • 11:45-12:00 – Q&A • We welcome questions during the presentation
- 3. Power BI Workshop 2-day Applied Power BI Workshop Sep 14-15, 8:30-5:00, Microsoft Office in Alpharetta Reserve your seat today to attend this insightful 2-day workshop for only $999 use coupon POWERBI20160914 to get 10% discount when signing up two or more people) bit.ly/powerbiworkshop
- 4. About Teo • Consultant, author, and mentor in Data Analytics • Owner of Prologika – consulting and training company based in Atlanta (prologika.com) • Microsoft Gold Partner in Data Analytics • Power BI Red Carpet Partner • Microsoft SQL Server MVP since 2004 • Founder and leader of Atlanta BI group (atlantabi.sqlpass.org)
- 5. About Brian 24 years of industry experience, 10 years at Microsoft • Data Solution Architect, Microsoft • Many Fortune 500 implementations of SSAS, SSRS, SSIS, Office 365, SharePoint • Prior to Microsoft – HP, US Air Force • Fun fact: started as an IBM 370 Mainframe Assembler Programmer Passion for Certification • Passed all Microsoft Azure exams: 70-532, 70-533, 70-534, 70-473, 70-475 • Microsoft Certified Solution Master Data Platform • Helped write first SQL Server Business Intelligence exams • Certified on every version of SQL since SQL 7.0 in 1998
- 6. What's Power BI? • An umbrella name for: • Power BI Service (powerbi.com) – a modern cloud-based platform for sharing BI content (weekly updates) • Power BI Desktop – free Windows app for self-service data modeling and building reports (monthly updates) • Power BI Mobile – a set of native apps for iOS, Android, and Windows devices • Power BI Embedded – a cloud service for integrating Power BI reports in custom apps • What Power BI is not • Power BI for Office 365 • SharePoint-dependent • Excel-dependent • Replacement of SSRS • Immature technology
- 7. Power BI Technical Architecture Cloud-based service SSRS Coming up…
- 8. Power BI for You
- 9. For Business Users • Connect to many cloud and on-premises data sources • Import and analyze data from Excel files • Analyze data from popular cloud services • Instant report and dashboards • Get predefined dashboards from content packs • Create ad-hoc reports • Ask questions through natural language query (Q&A) • Share dashboards with your coworkers • Mobile applications and alerts • Native mobile applications for iPad, iPhone, Android, and Windows • Create and receive alerts and important data changes
- 10. Power BI Mobile https://powerbi.microsoft.com/mobile • Download native apps for iPad, iPhone, Android, and Windows • View and change reports • Annotate and share • Receive alerts about important changes (iPhone app only)
- 12. For Business Analysts • Connect to all of your data • On-premise databases and files • Cloud-based solutions • Clean, transform, and shape data • Design sophisticated data models • Create powerful business calculations • Two options to create data models and publish to Power BI • Freely-available Power BI Desktop • Microsoft Excel
- 13. Choose Your Design Environment
- 15. Classic Organizational BI Solution Data Sources Data is extracted from data sources, transformed, and loaded into DW Data Warehouse Data is stored in dimensional schema consisting of dimension and fact tables Dimension Tables Fact Tables ETL Integration Services Semantic Layer Great performance Business calculations Reduced reporting effort Security Descriptive & predictive analytics Multidimensional Tabular Report Clients Standard reporting Ad-hoc reporting Dashboards Power BI Excel SharePoint Third party Tools Analytical Reporting
- 16. For BI Pros • Establish trustworthy environment • Content sharing with workspaces • Content sharing with content packs • Set up gateways to access on-premises data sources • Implement hybrid BI solutions • Single version of truth • No need to move data to the cloud • Performance • Security Live Power BI dashboards and reports Cloud On- premises SQL Server Analysis Services Live Query
- 17. DemoPower BI Gateway - Enterprise
- 18. For Developers For more information, visit dev.powerbi.com
- 20. 10 Criteria Where Power BI Excels Competition Overall 1. A component of MS Data Platform – no tool is a kingdom on its own 2. Cloud first – agility, no installation footprint, integration 3. Cost – Power BI Desktop is free, Power BI Mobile is free, Power BI Service via O365 E5 plan For Business Users 4. Easy to get started with content packs and get data 5. Productivity features – Q&A, Quick Insights
- 21. 10 Criteria Where Power BI Excels Competition Continued For Data Analysts 6. Data shaping and transformations – cleanse and shape data 7. Sophisticated data models – on a par with models built by BI pros 8. Powerful programming language – implement any business calculation For BI Pros 9. Flexible data connectivity options – live connections, hybrid architectures For Developers 10. Extensible platform Power BI Embedded Custom visuals APIs for access to content, such as for pushing data (real-time dashboards)
- 22. Break
- 23. Planning Data Strategy Data Import Live Connection Data location Original data source Power BI cached dataset Original data source Data size Constrained by available memory on desktop Limited to 1 GB in Power BI Service None Report queries Send to data model Sent to original data source Performance Excellent and predictable Depends on the data source Data refresh Required to sync changes (except when models are deployed to OneDrive or SharePoint Online) Not needed Gateway Required for on-prem refreshable data sources Required for direct connection to on-prem data sources Mash up data from multiple data sources Yes No Supported data soures Many SQL Server, Oracle, Terradata, DB2, MySQL, SharePoint List (on prem), Files (CSV, XML, Text, Excel, Access) Folder Excel Power Pivot (via Power Query only) Power BI Designer Cloud SQL Azure Database Azure Data Warehouse Azure Spark Amazon Redshift (soon) Impala On premises Analysis Services SQL Server SAP Hana Oracle Teradata Power BI Datasets Cloud Services (DirectQuery) On-premise Data Analysis Services, SQL Server, SAP Hana, ... Enterprise Gateway (DirectQuery and refresh) Refreshable Data Sources (RDBMS, Power Query, ...) Personal Gateway Cloud Services (no direct connect) Liveconnection Import/Refresh Service
- 24. Feature Connect live to your existing on-premises data, including SQL Server Analysis Services o You can keep your data on-premises and enable BI analysts / end users to create Power BI reports o Connect to and refresh data securely via Azure Service Bus (SSL encrypted connection) o Service Bus only uses an outbound port, it does not require an inbound port to be opened on the on-premises firewall Live Power BI dashboards and reports Cloud On-premises SQL Server Analysis Services Live Query SaaS solutions e.g. Marketo, Salesforce, GitHub, Google Analytics On-premises Data Organizational Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Connect live to your on-premises dataData sources
- 25. Feature Realize the benefits of a SaaS-based BI solution without moving your data to the cloud Everything in the service is encrypted - Power BI uses HTTPS for all traffic For on-premise sources, e.g. SSAS, role- based and row-level data security is applied Data remains on-premise, only query is stored in Power BI Power BI requires valid accounts that meet the requirements of the specific data source Please see table for authentication methods Keep your data where it is and connect securely Authentication method Select data sources that use this method Basic SQL Azure, Marketo, ODATA Feed Account key Blob store. Table store, HDInsight OAuth Salesforce, Google Analytics, ODATA Feed Marketplace key Azure Marketplace Anonymous ODATA Feed, Web Data authentication methods Data sources SaaS solutions e.g. Marketo, Salesforce, GitHub, Google Analytics On-premises Data Organizational Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Data sources
- 26. Feature o Azure SQL Database o Azure SQL Database Auditing o Azure Stream Analytics o Azure SQL Data Warehouse Consume structured/unstructured data from other Azure services HDInsight Storage Event Hubs Machine Learning SQL Server Stream Analytics Power BI Data sources SaaS solutions e.g. Marketo, Salesforce, GitHub, Google Analytics On-premises Data Organizational Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Data sources
- 27. Feature Expand with Azure Services and Power BI Power BI HDInsight Storage Event Hubs Machine Learning SQL Server Stream Analytics Data Factory Data sources SaaS solutions e.g. Marketo, Salesforce, GitHub, Google Analytics On-premises Data Organizational Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Data sources
- 28. Scenario 1 Data Analyst and Heterogeneous Data • Data is imported into a single model • Power BI Desktop • Excel • Model is deployed to Power BI Service (size must be <= 1 GB) • Refresh is scheduled • Enterprise or personal gateway must be installed • Unless the model is saved to OneDrive or SharePoint Online
- 29. Scenario 2 IT Builds a On-prem Semantic Model • SSAS semantic model is build on top of data warehouse/data mart • Single version of truth • Deployed to a dedicated server • Scale to terabytes • (Alternative) Direct access to RDMBS (SQL Server, Oracle…) • Direct Query is used • No data is deployed to Power BI • No refresh is required • Enterprise gateway is installed on premises
- 30. Scenario 3 IT and Direct Query Cloud Source • Direct Query is used • SQL Azure Database • Azure Data Warehouse • Amazon Redshift • Azure Spark • Impala • No data size limitation and no refresh is needed • No gateway is required • Performance depends on data source
- 31. Scenario 4 IT and Non-direct Query Cloud Source, e.g. Salesforce • Data is imported • Content pack (up to 1 GB data size) • Custom import in Power BI Desktop • Solution template can be used (currently Salesforce, Dynamics CRM and Twitter only) • Gateway is required if data is staged to on-prem database
- 32. Implementing Hybrid Architecture Case Study
- 33. Thank you! Please feel in survey 1. How did we do? 2. How can we improve? 3. What other public events you're interested in? http://bit.ly/powerbiseminarsurvey Stay in touch: [email protected] @tlachev http://prologika.com (blog, newsletter, sample code, …)