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Azure Analysis Services
Introduction
• Education
• B.S. in Computer Science from UW-Milwaukee
• M.S. in Science of Management from Cardinal
Stritch
• Professional
• Fiserv, DentaQuest, BMO Harris
• Focus on SQL, SSIS, and DevOps strategies
• Talavant
• Focus on larger BI strategies
Turner Kunkel
turner.Kunkel@talavant.com
Senior Consultant @ Talavant
• Hobbies
• Home brewing
• Bass playing (poorly)
• Sailing (light skipper license)
There is a better way to make data work for companies. Better resources, strategy, sustainability, inclusion of the
organization as a whole, understanding of client needs, tools, outcomes, better ROI.
• Accelerated planning, implementation and results
• Sustainable solutions
• Increased company-wide buy-in & usage
VALUE WE PROVIDE
By providing a holistic approach inclusive of a
client’s people, processes and technologies -
built on investment in our own employees and
company growth.
HOW WE DO IT
STRATEGY
ARCHITECTURE
IMPLEMENTATION
OVERVIEW
On-Premises SSAS
History of AS • ROI considerations
• Future research
• Questions/Comments
• Sources & References
Azure AS
Developing w/ AAS
Automation on AAS

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Azure MigrateAzure Migrate
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cloudcloud computingconsulting
END PRODUCT
Robust Power BI sample from Microsoft
2.04 billion NY Taxi trips
Refresh using 20 Azure cores in ~4 seconds
ANALYSIS SERVICES
OLAP
Database theory
(X,Y,Z) → W (X,Y,Z are axis in a cube, W is value of
cell)
Need arose from tab report structure
from 1980’s database management
systems
Slice, Dice, Drill Down, Roll Up
MICROSOFT HISTORY
1997
API
MDX
2000
Analysis
Services
2016
Current
SSAS
Version
2017
Azure
Analysis
Services

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Let's Talk About: Azure Monitor
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Azure Monitor collects two types of data: metrics and logs. The document provides tips for reducing data volume in Azure Monitor by changing configurations for security events, performance counters, event logs, syslog, AzureDiagnostics, and solution data. Configurations can be changed to reduce the frequency and number of items collected, and to only collect required event levels and logs. This helps reduce the amount of data sent to Azure Monitor.

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MODELS
FUNCTIONS Multidimensional Tabular
Actions Yes No
Aggregations Yes No
Calculated Column No Yes
Calculated Measures Yes Yes
Calculated Tables No Yes
1
Custom Assemblies Yes No
Custom Rollups Yes No
Default Member Yes No
Display folders Yes Yes
1
Distinct Count Yes Yes (via DAX)
Drillthrough Yes Yes (depends on client application)
Hierarchies Yes Yes
KPIs Yes Yes
Linked objects Yes Yes (linked tables)
M expressions No Yes
1
Many-to-many
relationships
Yes No (but there is bi-directional cross filters at 1200
and higher compatibility levels)
Named sets Yes No
Ragged Hierarchies Yes Yes
1
Parent-child
Hierarchies
Yes Yes (via DAX)
Partitions Yes Yes
Perspectives Yes Yes
Row-level Security Yes Yes
Object-level Security Yes Yes
1
Semi-additive
Measures
Yes Yes
Translations Yes Yes
User-defined
Hierarchies
Yes Yes
Writeback Yes No
Multidimensional
SSAS
Power BI (in preview)
Tabular
SSAS, Azure
Power BI, Power Pivot, etc.
Created from
Multidimensional metadata
TMSL code
TOM code
Compatibilities:
1050, 1103, 1200, 1400
Azure >= 1200 level
ARCHITECTURE
BUSINESS USE
• Explore data from outside the organization
• Historical insight
• Trends and predictive analysis
• Self-service opportunities for business users
• Space saving
• Time saving
Reporting Tools
SSRS
SharePoint
Power Pivot
Power BI
Tableau (and other third parties)
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Azure StorageAzure Storage
Azure Storage

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SETUP ON-PREMISES
Infrastructure
Setup time, Developers, Space, Age, Networking
Administration
Security, Scaling, Disaster recovery, Licensing, Local backups
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SETUP
Initial thoughts
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How do I start it?
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azure web appsazure app serviceazure
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Security
Troubleshooting
Scaling
Backups
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Web interface (public preview)
Edit relationships, measures, hierarchies
Drag-and-drop query editor for data
Translates to DAX if needed
Interface to open model in several tools
SQL Server Data Tools/Visual Studio
(>=2016)
SQL Server Management Studio
(>=2016)
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Incremental port of solution
Lean, Phased, Ramp up
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Full
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cloudazurestorage
GATEWAY
Install
Download, install, register on-premises
Use
Connect gateway to AAS instance
Configure
Add gateway resource to Azure
*Performs slowly on wireless
*Communication is encrypted
DATA ACCESS
DirectQuery benefits
Up-to-date data
Stronger security
Optimized query plan
In-Memory Cache
Stronger query performance
Data refresh required
DirectQuery limitations
Sources
SQL server, Oracle, Teradata
No stored procedures
No calculated tables
Query language translations
“HIGH AVAILABILITY”
Backups
Azure allows backup storage
Configurable in the AAS instance
Can backup and restore to separate instances
Hint: Use deployment
scripts
Redundancy
Rarely, Azure servers go down
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in a different region
Process each instance in parallel
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AUTOMATION
Automation Uses
• Model processing on schedule
• Full or incremental
• Start/Stop AAS on schedule
• Scale AAS automatically
• Backup AAS instance on schedule
How to Automate
• Azure Function Apps
• Azure RunBooks
• Classic SSMS/SSIS
• Custom .NET application
• Custom PowerShell
FUNCTION APPS
• Separate module in Azure
• Premade Functions
• Webhook/API, Timer (CRON), Data Processing
• Templates (C#, F#, JavaScript)
• Custom functions
• PowerShell, Python, and Windows Batch
• Analysis Server libraries, providers, and
connection string references needed
• Web application sitting in Azure
• Separate pricing model
• Can use Source Control/TFS
RUNBOOKS
• Requires Azure Automation account
• Uses ‘Run As’ account to connect to AAS
• RunBooks support PowerShell and Python scripts
• Can be run on a recurring schedule
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 *
ROI & CONSIDERATIONS
Advantages to movement to AAS
• No physical space needed for servers
• One cloud platform for development
• Azure is Microsoft’s future – AAS is beneficial to learn
• Scaling and automating use is quick
• Integration to already used tools
• Processing power is immense for large data sets
• Access administration is streamlined
• Redundancy built-in
• Simple and forecasted pricing model
Disadvantages to movement to AAS
• Learning curve
• (Possible!) replacement of SSAS resume skill
OTHER FEATURES
Query Replicas
Queries distributed among multiple replicas in
a pool
Up to 7 additional query streams (8 total)
Good for high-QPU usage times
Can be configured based on instance usage
Tags
Azure general feature – Name/Value pair for
resources
For example: Environment/Development
Locks
Azure general feature – Locks resource to
prevent actions on the resource
Diagnostics
Performance logs
Event logs
Error logs
Azure infrastructure logs
FUTURE FEATURES
AAS support in Power BI Embedded Azure Data Lake storage as data source
Multidimensional cube support
Schema compare
Excel Online connections
AAS data source in SSRS
FUTURE RESEARCH
Automation best practices
Deterministic scaling development
Best uses of RunBooks, Functions, Replicas, or
other techniques?
Migration strategy
Full approach to migration plan
Testing techniques while migrating leanly
True Implementation Cost
Production down time while migrating
Opportunity cost and monetary cost during
learning curve
Buy-in from business
On-boarding of business users, if necessary
Production monitoring
Best practices for maintenance
How many resources required
Improvements to implemented system and
development life cycle

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cloudawsamazon web services
RECAP
On-Premises SSAS
History of AS • ROI considerations
• Future research
• Questions/Comments
• Sources & References
Azure AS
Developing w/ AAS
Automation on AAS
QUESTIONS?
RESOURCES
• AAS product page: https://azure.microsoft.com/en-us/services/analysis-services/
• MS Docs overview: https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-overview
• AAS blog: https://blogs.msdn.microsoft.com/analysisservices/
• AAS Web Designer: https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-create-model-
portal
• Feature requests: https://feedback.azure.com/forums/556165?status_id=191761
• Third party/community code: http://sqlsrvanalysissrvcs.codeplex.com/
• Video overviews: https://channel9.msdn.com/series/Azure-Analysis-Services
• Video introduction (using NY Taxi data): https://azure.microsoft.com/en-us/resources/videos/introducing-azure-
analysis-services/
• NY Taxi data (lots!): https://chriswhong.com/open-data/foil_nyc_taxi/

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Azure Analysis Services (Azure Bootcamp 2018)

  • 2. Introduction • Education • B.S. in Computer Science from UW-Milwaukee • M.S. in Science of Management from Cardinal Stritch • Professional • Fiserv, DentaQuest, BMO Harris • Focus on SQL, SSIS, and DevOps strategies • Talavant • Focus on larger BI strategies Turner Kunkel turner.Kunkel@talavant.com Senior Consultant @ Talavant • Hobbies • Home brewing • Bass playing (poorly) • Sailing (light skipper license)
  • 3. There is a better way to make data work for companies. Better resources, strategy, sustainability, inclusion of the organization as a whole, understanding of client needs, tools, outcomes, better ROI. • Accelerated planning, implementation and results • Sustainable solutions • Increased company-wide buy-in & usage VALUE WE PROVIDE By providing a holistic approach inclusive of a client’s people, processes and technologies - built on investment in our own employees and company growth. HOW WE DO IT STRATEGY ARCHITECTURE IMPLEMENTATION
  • 4. OVERVIEW On-Premises SSAS History of AS • ROI considerations • Future research • Questions/Comments • Sources & References Azure AS Developing w/ AAS Automation on AAS
  • 5. END PRODUCT Robust Power BI sample from Microsoft 2.04 billion NY Taxi trips Refresh using 20 Azure cores in ~4 seconds
  • 7. OLAP Database theory (X,Y,Z) → W (X,Y,Z are axis in a cube, W is value of cell) Need arose from tab report structure from 1980’s database management systems Slice, Dice, Drill Down, Roll Up
  • 9. MODELS FUNCTIONS Multidimensional Tabular Actions Yes No Aggregations Yes No Calculated Column No Yes Calculated Measures Yes Yes Calculated Tables No Yes 1 Custom Assemblies Yes No Custom Rollups Yes No Default Member Yes No Display folders Yes Yes 1 Distinct Count Yes Yes (via DAX) Drillthrough Yes Yes (depends on client application) Hierarchies Yes Yes KPIs Yes Yes Linked objects Yes Yes (linked tables) M expressions No Yes 1 Many-to-many relationships Yes No (but there is bi-directional cross filters at 1200 and higher compatibility levels) Named sets Yes No Ragged Hierarchies Yes Yes 1 Parent-child Hierarchies Yes Yes (via DAX) Partitions Yes Yes Perspectives Yes Yes Row-level Security Yes Yes Object-level Security Yes Yes 1 Semi-additive Measures Yes Yes Translations Yes Yes User-defined Hierarchies Yes Yes Writeback Yes No Multidimensional SSAS Power BI (in preview) Tabular SSAS, Azure Power BI, Power Pivot, etc. Created from Multidimensional metadata TMSL code TOM code Compatibilities: 1050, 1103, 1200, 1400 Azure >= 1200 level
  • 11. BUSINESS USE • Explore data from outside the organization • Historical insight • Trends and predictive analysis • Self-service opportunities for business users • Space saving • Time saving Reporting Tools SSRS SharePoint Power Pivot Power BI Tableau (and other third parties)
  • 13. SETUP ON-PREMISES Infrastructure Setup time, Developers, Space, Age, Networking Administration Security, Scaling, Disaster recovery, Licensing, Local backups
  • 15. SETUP Initial thoughts Where in Azure is it? How do I start it? What is the cost?
  • 16. INSTANCE CREATION Resource Group Query Processing Units (QPU) Location Backup Storage
  • 17. INSTANCE UPKEEP Deployment Scripts Instance metrics Security Troubleshooting Scaling Backups
  • 19. MODEL DEVELOPMENT Web interface (public preview) Edit relationships, measures, hierarchies Drag-and-drop query editor for data Translates to DAX if needed Interface to open model in several tools SQL Server Data Tools/Visual Studio (>=2016) SQL Server Management Studio (>=2016)
  • 20. MIGRATION Best practice Incremental port of solution Lean, Phased, Ramp up Types Full Hybrid/piece-wise Tools On-premises Gateway Visual Studio, SQL Management Studio
  • 21. GATEWAY Install Download, install, register on-premises Use Connect gateway to AAS instance Configure Add gateway resource to Azure *Performs slowly on wireless *Communication is encrypted
  • 22. DATA ACCESS DirectQuery benefits Up-to-date data Stronger security Optimized query plan In-Memory Cache Stronger query performance Data refresh required DirectQuery limitations Sources SQL server, Oracle, Teradata No stored procedures No calculated tables Query language translations
  • 23. “HIGH AVAILABILITY” Backups Azure allows backup storage Configurable in the AAS instance Can backup and restore to separate instances Hint: Use deployment scripts Redundancy Rarely, Azure servers go down Ensure availability by deploying to another instance in a different region Process each instance in parallel
  • 25. AUTOMATION Automation Uses • Model processing on schedule • Full or incremental • Start/Stop AAS on schedule • Scale AAS automatically • Backup AAS instance on schedule How to Automate • Azure Function Apps • Azure RunBooks • Classic SSMS/SSIS • Custom .NET application • Custom PowerShell
  • 26. FUNCTION APPS • Separate module in Azure • Premade Functions • Webhook/API, Timer (CRON), Data Processing • Templates (C#, F#, JavaScript) • Custom functions • PowerShell, Python, and Windows Batch • Analysis Server libraries, providers, and connection string references needed • Web application sitting in Azure • Separate pricing model • Can use Source Control/TFS
  • 27. RUNBOOKS • Requires Azure Automation account • Uses ‘Run As’ account to connect to AAS • RunBooks support PowerShell and Python scripts • Can be run on a recurring schedule
  • 29. ROI & CONSIDERATIONS Advantages to movement to AAS • No physical space needed for servers • One cloud platform for development • Azure is Microsoft’s future – AAS is beneficial to learn • Scaling and automating use is quick • Integration to already used tools • Processing power is immense for large data sets • Access administration is streamlined • Redundancy built-in • Simple and forecasted pricing model Disadvantages to movement to AAS • Learning curve • (Possible!) replacement of SSAS resume skill
  • 30. OTHER FEATURES Query Replicas Queries distributed among multiple replicas in a pool Up to 7 additional query streams (8 total) Good for high-QPU usage times Can be configured based on instance usage Tags Azure general feature – Name/Value pair for resources For example: Environment/Development Locks Azure general feature – Locks resource to prevent actions on the resource Diagnostics Performance logs Event logs Error logs Azure infrastructure logs
  • 31. FUTURE FEATURES AAS support in Power BI Embedded Azure Data Lake storage as data source Multidimensional cube support Schema compare Excel Online connections AAS data source in SSRS
  • 32. FUTURE RESEARCH Automation best practices Deterministic scaling development Best uses of RunBooks, Functions, Replicas, or other techniques? Migration strategy Full approach to migration plan Testing techniques while migrating leanly True Implementation Cost Production down time while migrating Opportunity cost and monetary cost during learning curve Buy-in from business On-boarding of business users, if necessary Production monitoring Best practices for maintenance How many resources required Improvements to implemented system and development life cycle
  • 33. RECAP On-Premises SSAS History of AS • ROI considerations • Future research • Questions/Comments • Sources & References Azure AS Developing w/ AAS Automation on AAS
  • 35. RESOURCES • AAS product page: https://azure.microsoft.com/en-us/services/analysis-services/ • MS Docs overview: https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-overview • AAS blog: https://blogs.msdn.microsoft.com/analysisservices/ • AAS Web Designer: https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-create-model- portal • Feature requests: https://feedback.azure.com/forums/556165?status_id=191761 • Third party/community code: http://sqlsrvanalysissrvcs.codeplex.com/ • Video overviews: https://channel9.msdn.com/series/Azure-Analysis-Services • Video introduction (using NY Taxi data): https://azure.microsoft.com/en-us/resources/videos/introducing-azure- analysis-services/ • NY Taxi data (lots!): https://chriswhong.com/open-data/foil_nyc_taxi/