1. What’s New in Azure Analysis Services
11/12/2018 3:58 AM
What’s New in Azure Analysis Services
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Christian Wade, Senior Program Manager
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2. Demo: Azure Analysis Services user experience
11/12/2018 3:58 AM
Demo: Azure Analysis Services user experience
Christian Wade
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3. 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 platform-as-a-service
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.

4. Azure Analysis Services Architecture
11/12/2018 3:58 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
Azure AS other features
Scale up/down
Pause/resume
99.9% uptime SLA (GA)
New automation opportunities
SQL Server
Visual Studio
Excel
DirectQuery
Import
Power BI Desktop
Third party BI tools
Oracle, Teradata
Note: not all capabilities available at public preview
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5. Demo: automation, monitoring & scale in Azure
11/12/2018 3:58 AM
Demo: automation, monitoring & scale in Azure
Christian Wade
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6. Demo summary Server provisioning Create model & refresh data
11/12/2018 3:58 AM
Demo summary
Server provisioning
Create model & refresh data
Application service principals
Azure Automation
Scale up/out
Diagnostic logging
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7. Engine Events (XEvent) Category Event Name Security Audit Audit Login
Audit Logout
Audit Server Starts And Stops
Progress Reports
Progress Report Begin
Progress Report End
Progress Report Current
Queries
Query Begin
Query End
Commands
Command Begin
Command End
Errors & Warnings
Error
(XEvent) Category
Event Name
Discover
Discover Begin
Discover End
Notification
Session
Session Initialize
Locks
Deadlock
Query Processing
VertiPaq SE Query Begin
VertiPaq SE Query End
VertiPaq SE Query Cache Match
Direct Query Begin
Direct Query End

8. Service Events Operation name Occurs when CreateGateway
User configures a gateway on server
ResumeServer
Resume a server
SuspendServer
Pause a server
DeleteServer
Delete a server
RestartServer
User restarts a server through SSMS or PowerShell
GetServerLogFiles
User exports server log through PowerShell
ExportModel
User exports model in Azure Portal. For example, "Open in Power BI Desktop", "Open in Visual Studio"

9. 11/12/2018 3:58 AM
1200 Compatibility Level Azure Analysis Services / SQL Server Analysis Services 2016
Performance and scalability
Parallel partition processing
NUMA awareness and memory allocator (SP1)
Super DAX
Developer Tools
Tabular Model Explorer
Integrated workspace server
DAX formula editing
Modeling and analytics
Bi-directional cross filters
Calculated tables
Display folders
Translations
Over 50 new DAX functions
DirectQuery enhancements
Manageability
Tabular Object Model (TOM)
Tabular Model Scripting Language (TMSL)
Modeling and analytics
Bi-directional cross filters
Many-to-many dimension scenarios without need to write complex DAX formulas
For whole table, not just a measure
Various use cases such as account balance, currency conversion, distinct count of attributes
Calculated tables
Dynamically generate a table based on a DAX formula.
Various use cases including role-playing dimensions
Some performance improvements available
Display folders
Present model elements and measures by business function in Pivot Tables and in Power BI
Translations
DirectQuery enhancements
Data is up to date with no management of loading the in-memory cache
Big data sets that don’t fit into memory
New data sources: APS / SQL DW, Oracle, Teradata
Support for MDX queries (Pivot Tables)
Improved query generation resulting in faster performance
Row-level security defined with DAX filters
Over 50 new DAX functions
DATEDIFF, SELECTCOLUMNS, SUMMARIZECOLUMNS, CROSSFILTER
Manageability
Tabular Object Model (TOM)
Tables, columns, relationships – not cubes, measure groups, dimensions
Tabular Model Scripting Language (TMSL)
JSON representation of TOM – with commands for manageability such as create/alter database, backup, restore, attach, detach
Performance and scalability
NUMA awareness and memory allocator
The in-memory engine in SP1 maintains a separate job queue on each NUMA node
The Intel TBB-based scalable allocator that provides separate memory pools for every core. As the number of cores increases, the system can scale almost linearly
Parallel partition processing
Super DAX
Strict evaluation of IF/SWITCH, Variables
Some cases just restoring a 2014 model to 2016 provides significant DAX performance benefits
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10. 11/12/2018 3:58 AM
1400 Compatibility Level Azure Analysis Services / SQL Server Analysis Services 2017
Data connectivity
Rich set of data sources
Data transformations and mashups with Power Query Formula Language
Modeling and analytics
Detail Rows
Object level security
Enhanced support for ragged hierarchies
Developer tools
SSDT for VS 2017
DAX Editor for SSDT and SSMS
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

11. Demo: modeling & analytics
11/12/2018 3:58 AM
Demo: modeling & analytics
Christian Wade
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12. Just like Jimi Hendrix …
11/12/2018 3:58 AM
Just like Jimi Hendrix … 
We love to get feedback
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13. SQLBits - It's all about the community...
11/12/2018 3:58 AM
SQLBits - It's all about the community...
Please visit Community Corner, we are trying this year to get more people to learn about the SQL Community, equally if you would be happy to visit the community corner we’d really appreciate it.
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14. Session resources Azure BI Blog: https://aka.ms/AzureBIBlog
11/12/2018 3:58 AM
Session resources
Azure BI Blog:
AS Team Blog:
ALM for Analysis Services (BISM Normalizer):
Use this slide to share additional content available that attendees should know about. In this section you can call out whitepapers or websites that you and your team have created.
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15. 11/12/2018 3:58 AM
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.