Microsoft business intelligence and analytics
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4 slide overview of Microsoft BI & analytics architecture and how it would work with your current environment. See the PointDrive for more information - https://ptdrv.linkedin.com/5fj1ey0
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Microsoft business intelligence and analytics
- 1. Relational Non-relational NoSQL { } Streaming 10101 01010 00100 SaaS Services Public Machine LearningETL DATA BUSINESS ANALYST TOOLS Excel Power BI Designer IT PRO AND DEVELOPMENT TOOLS SQL Server Analysis Services SQL Server Reporting Services SQL Server Data Tools DELIVERY AND CONSUMPTION Power BI ReportsDashboards Mobile APIsExcel
- 2. Azure Service Bus Live Power BI dashboards and reports Cloud On-premises Power BI data movement service SQL Server Analysis Services Live Query
- 3. Data Sources Power BI service SaaS solutions e.g. Marketo, Salesforce, GitHub On-premises data e.g. SQL Server Analysis Services Organizational content Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Excel files Workbook data/models Power BI Designer files Data from files, databases, Azure, and other sources 146.03K145.84K145.96K146.06K 40.08K38.84K39.99K40.33K 146.03K145.84K145.96K146.06K Power BI REST APIsPower BI Desktop Prepare Explore ShareReport Data refresh Visualizations Live dashboards Content packs Reports Datasets01001 10101
- 4. *Gartner “Magic Quadrant for Business Intelligence and Analytics Platforms,” by Rita L. Sallam, Cindi Howson, Carlie J. Idoine, Thomas W. Oestreich, James Laurence Richardson, and Joao Tapadinhas February 16, 2017 This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Microsoft is placed furthest for Completeness of Vision within the Leaders Quadrant { }
Editor's Notes
- Power BI lets you establish live connectivity with on-premises SQL Server Analysis Services tabular models Simply configure the connector to work with your existing SSAS solution With this connector, there is no need to move any data to the cloud – your data stays in SSAS on-premises, even while it is viewed in Power BI The connection is live – meaning that when users view and explore dashboards, Power BI interactively queries the on-premises cube to fetch the data right then This enables efficient data exploration thanks to optimized query performance You can create reports with SSAS data on powerbi.com, even while data remains on-premises Your existing, role-based SSAS permissions still apply – user access to SSAS data via Power BI is controlled the same way The connection to SSAS is secured via Azure Service Bus SSL encryption
- Let’s walk through an overview of how Power BI works. First, Power BI connects to a variety of data sources. These range across both cloud and on-premises sources, and include: A variety of popular SaaS solutions, such as Marketo, Salesforce, GitHub, Dyanmics CRM, Zendesk, and several others On-premises databases – Power BI offers live connectivity to SQL Server Analysis Services, which we’ll cover in more detail later. And using a gateway solution, Power BI can connect to over 20 other database solutions, such as Oracle and IBM databases. Custom data sources – Power BI can connect to any data source you need it to thanks to its extensibility via REST APIs. This includes both proprietary corporate data sources, as well as external data services. For example, if you are a SaaS solution provider, you can work with Microsoft to connect your solution to Power BI. Other Azure services – Power BI integrates tightly with SQL Azure and Stream Analytics, and will be integrating closely with more Azure services over time PowerBI Designer and Excel files – Excel workbooks can be directly connected to Power BI.com, or may be used with Power BI Designer. Power BI Designer is a companion application to the Power BI service – it is a desktop tool that supports data analysis and reporting. Like Excel files, Power BI Designer files may be uploaded to the Power BI service. 2. Power BI Designer is a visual data exploration tool that enables you to analyze data and create stunning reports. With Designer, you are able to: Connect to a broad range of data sources Prepare data for analysis using query functionality, similar to Power Query for Excel Model and Analyze data Develop reports showcasing relevant data from a variety of sources in a visually compelling format Publish reports directly to powerbi.com so they can be used and shared 3. The Power BI service, sometimes referred to as powerbi.com, is what allows you to: Create beautiful visualizations to tell compelling data stories Build rich, live dashboards that turn BI into business insights Create reports & datasets from which you can create visualizations and dashboards Enjoy the benefits of up-to-date data with real-time, automatic and scheduled refreshes Share dashboards easily with other people in your organization Ask questions of data in plain English with Natural Language Query Stay connected to your data all the time with mobile applications 4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
- You’re looking at Gartner’s Magic Quadrant for BI and Analytics Platforms, published in February 2017. Microsoft is named as a Leader. You’ll notice that Microsoft is a Market Leader and the furthest of any vendor to the right of the quadrant – Gartner considered Microsoft the most visionary of all BI vendors. Oracle is not in the Leader’s quadrant; they are a “Niche Player”. It should be noted that Oracle was not even featured in Gartner’s 2016 Magic Quadrant and whilst their product has improved since then, it still lags the leaders. [click]