1. Welcome! Power BI User Group (PUG)
Sydney

2. Super Charge Power BI and What’s New with Azure Analysis Services
Darren Gosbell
Data Platform MVP
Microsoft Azure Analysis Services enables you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through familiar data visualization tools such as Microsoft Power BI and Microsoft Excel. This session introduces Azure Analysis Services as a fully-managed platform as a service (PaaS) in Azure. We will discuss where Analysis Services fits into Microsoft’s BI platform and strategy, reference architectures and cloud efficiencies. Modeling and analytics features covered by the last two compatibility levels will be reviewed and demonstrated, including Power Query connectivity, object-level security, and Detail Rows for non-technical users to drill through to transactional records.
@darrengosbell

3. Meet Your Presenter DARREN GOSBELL
Leader – SQL Server User Group – Melbourne
Data Platform MVP since 2006
SSAS Maestro
Contributor to open source BI projects
DAX Studio
BIDS Helper
AS Stored Procedures

4. Demo: Azure Analysis Services with Power BI

5. Azure Analysis Services
Enterprise grade analytics engine as a service
Build rich semantic models
Transform complex data into business user friendly semantic models
Gain insights at the speed of thought
Gain instant insights with in-memory cache using your preferred visualization tools
Proven technology
Based on powerful, proven SQL Server Analysis Services
Provision and scale with ease
Easy to deploy, scale, and manage as a platform-as-a-service solution
Key points: Summarize key benefits for Azure Analysis Services
Azure Analysis Services helps you transform complex data from different data sources into a BI semantic model, so users in your organization can easily gain insights by connecting to the data models using tools like Excel, Power BI, and others to create reports and perform ad hoc data analysis
Talk Track
Transform Complex Data into rich BI semantic models: Azure Analysis Services Analysis Services helps you transform complex data into a single business user friendly data model making it easy for business users to understand and analyze data across different data sources.
Gain instant insights with in-memory cache using your preferred visualization tools : Not only can business users get insights from data easily using their preferred data visualization tool, whether it is Power BI, Excel or other major data visualization tools, but with the in-memory cache capabilities of Azure Analysis Services, users can gain insights over billions of rows of data at the speed of thought
Proven Technology: Azure Analysis Services is based on the proven analytics engine in SQL Server 2016 Analysis Services, that has helped organizations turn complex data into a trusted, single source of truth for years. This means that BI professionals who are familiar with SQL Server Analysis Services, tabular models can get started quickly and do not need to learn new tools or skills.
Analytics engine as-a-service (provision fast, scale faster): The same proven enterprise grade BI platform is now available as a fully managed service in Azure. With the power of the trusted Microsoft Cloud, you do not need to manage infrastructure on-premises and can benefit from the scalability of the cloud. Additionally you can use Azure Resource Manager to create and deploy an Azure Analysis Services instance within seconds, and use backup restore to quickly move your existing models to Azure Analysis Services and take advantage of the scale, flexibility and management benefits of the cloud. Scale up, scale down, or pause the service and pay only for what you use.
Azure Analysis Services is built for Hybrid BI - Organizations store data in the cloud and on-premises. Azure Analysis Services is built for hybrid data. Data can be access in the cloud, on-premises or a combination of both, enabling a hybrid solution. So - you do not have to move on-premises data to the cloud.
To summarize, Azure Analysis Services is simple to use – it is easy to get started, you can use your existing skills to create BI semantic models, and your favorite data visualizations tools to analyze your data.

6. Connection Types in Power BI
Import
Direct Query
Live Connection to AS
Azure AS

7. Azure Analysis Services Architecture
7/31/ :57 AM
Azure Analysis Services Architecture
Cloud data sources
Cloud visualization tools
Azure Analysis Services
SQL Database
Other data sources
DirectQuery
DAX
Power BI
Import
MDX
SQL Data Warehouse
Gateway
On-premises data sources
Authoring and development tools
On-premises visualization tools
Other data sources
SQL Server
Visual Studio
Excel
Azure AS other features
Scale up/down
Pause/resume
99.9% uptime SLA (GA)
New automation opportunities
DirectQuery
Import
Power BI Desktop
Third party BI tools
Oracle, Teradata
Note: not all capabilities available at public preview
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

8. Demo: Azure Portal & Automation

9. Demo Summary ARM Templates from Azure Portal
Application service principals
Azure Automation
Credential store
Import Modules: Azure.AnalysisServices & SqlServer
Runbook to refresh data

10. Azure Analysis Services capabilities at a glance
7/31/ :57 AM
Azure Analysis Services capabilities at a glance
Management/platform
Fully managed Platform-as-a-Service
99.9% uptime SLA
Elastic scale up/down
Pause & resume
Up to 400 GB memory per server
SSAS management tool compatibility: SSMS, SQL Profiler, Deployment Wizard, …
Azure Active Directory
Azure B2B support
Application service principals
Backup/restore
Unified Gateway
Consumption
Full DAX & MDX support
PowerBI.com
Power BI Desktop
Excel
3rd party tools
S8/S9:
East US 2
West US
Southeast Asia
West Europe
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

11. Microsoft BI Platform DATA Model Analyze & author Deliver Visualize
Power BI
Azure Analysis Services
Power BI
Web
Embedded in your apps
Mobile
Cloud
On –premises data gateway
On-premises
Key points:
Azure Analysis Services, is based on the proven analytical engine in SQL Server 2016 Analysis Services. Customers can access data sources across on-premises and the cloud, model that data, and provide business users with a simplified view of their data to enable interactive self-service BI and data discovery using their preferred data visualization tool.
Easy to deploy, scale, and manage as a platform-as-a-service solution
Create a provision an Azure Analysis Service server in seconds.
Elastic scale to move up and down with your business needs.
Reduce the burden of managing infrastructure with a fully managed Analysis Services in the cloud.
Integrate data from anywhere. Build your semantic model from modern data sources like Azure SQL Database and Azure SQL DW as well as on-prem data like SQL Server 2016
Connect to your semantic model with your favorite BI visualization tool and interact with data at scale and the speed.
SQL Server
Analysis Services
SQL Server Reporting Services
Excel
Power BI Desktop

12. Demo: Web Designer

13. Coming Soon Development on Azure Analysis Services
Configurable Scale Out
REST API
Link:// connections

14. Configurable Scale Out

15. Scaling queries - before

16. Scale out Azure AS Cluster Frontend node Backend node
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
Frontend node
Backend node

17. Scale out Azure AS Cluster Frontend node Backend node
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
Frontend node
Backend node

18. Scale out Azure AS Cluster Frontend node Backend node
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
Frontend node
Backend node

19. Scale out Number of query replicas: 0 Azure AS Cluster Frontend node
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
Frontend node
Backend node

20. Scale out Number of query replicas: 3 Azure AS Cluster Frontend node
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
Frontend node
Backend node

21. Scale out Number of query replicas: 0 Azure AS Cluster Frontend node
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
asazure://aspaaseastus2.asazure.windows.net/someserver
Frontend node
Backend node

22. Management REST API (coming soon)
Advantages:
Doesn’t require .NET
Asynchronous
Automatic retry

23. Connecting to a server

24. Link://linkfiletest.azurewebsites.net/
Connecting to a server
Link://linkfiletest.azurewebsites.net/

25. Link endpoint example
namespace linkfiletest { public class Startup // This method gets called by the runtime. Use this method to add services to the container. // For more information on how to configure your application, visit public void ConfigureServices(IServiceCollection services) } // This method gets called by the runtime. Use this method to configure the HTTP request pipeline. public void Configure(IApplicationBuilder app, IHostingEnvironment env, ILoggerFactory loggerFactory) loggerFactory.AddConsole(); app.Run(async (context) => //context.Response.ContentType = "text/xml"; await context.Response.WriteAsync("asazure://southcentralus.asazure.windows.net/testux"); });

26. Thank you for Attending!
Don’t forget to join your local PUG to enjoy year- round networking and learning.