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Azure analysis services next step to bi in the cloud

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Session material from Azure Saturday Munich 2018-05-25

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Azure analysis services next step to bi in the cloud

  1. 1. 1 Azure Saturday 2018 Azure Analysis Services The next step to BI in the cloud? Gabi Muenster
  2. 2. 2 Azure Saturday 2018 Thank you, sponsors!
  3. 3. 3 Azure Saturday 2018 About me Developer and consultant for Microsoft BI at oh22data AG Main Topics: SSAS, SSRS and MDS >10 years of experience with database and BI development Speaker at chapter meetings, national and international conferences, German PASS local chapter lead, Data Platform MVP @SQLMissSunshine https://www.linkedin.com/in/gabimuenster/ https://www.xing.com/profile/Gabi_Muenster/cv
  4. 4. 4 Azure Saturday 2018 Agenda What is Azure Analysis Services? What is BI? Which chances and risks do exist for BI in the cloud? Which BI features are already available in the cloud? How can Azure Analysis Services improve „BI in the cloud“?
  5. 5. 5 Azure Saturday 2018 What is Azure Analysis Services? Enterprise grade OLAP engine and BI modeling platform Fully managed platform-as-a-service (PaaS) General availability since April 2017 Only Tabular Model mode so far Multidimensional mode in consideration Current Compatibility level: 1400 = SQL 2017
  6. 6. 6 Azure Saturday 2018 How to interact with Azure AS? (I) You can use your standard on-prem toolset to interact with Azure AS SSMS SSDT Team Foundation Services or Visual Studio Team Services But you can also use new tools with new features: Azure Analysis Web Designer
  7. 7. 7 Azure Saturday 2018 How to interact with Azure AS? (II) Management: Azure Portal PowerShell Azure functions Rest API Automization: Azure Automation SQL Agent ...
  8. 8. 8 Azure Saturday 2018 Why choose Azure AS? Easy to get started No waiting time for hardware or infrastructure Azure AD makes start and collaboration easy No additional tools or drivers need to be installed Easy to move from current Tabular solutions on-prem into cloud Deploy out of your existing environment Backup/Restore Easy to handle Guided interaction with portal or „flexible“ interaction with PowerShell Accessible from almost anywhere
  9. 9. 9 Azure Saturday 2018 Features and Editions
  10. 10. 10 Azure Saturday 2018 What is BI? “Business intelligence (BI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.” (Gartner IT Glossary) “What is BI? There are two prevailing definitions out there – broad and narrow. The broad definition … is that BI is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insight and decision- making. …the narrow definition is used when referring to just the top layers of the BI architectural stack such as reporting, analytics and dashboards.” (Forrester Research)
  11. 11. 11 Azure Saturday 2018 What is BI? Broad definition: Load/ Enrich/Clean data => ETL Transform data into readable model => ETL/DWH Secure data => DWH/Mart Analyze data => Mart/Datamining Create szenarios, predictions,… => Datamining Expose data => Presentation Layer
  12. 12. 12 Azure Saturday 2018 Corporate BI: Transformative data architecture OLTP Apps Big Data & Analytics Comprehensive BI Streaming IoT Social Modern Data Warehouse Big Data Storage NoSQL Data Lake CRM ERP Business Analyst BI Users IT Pro Data Mart or Operational Data Store + other data sources LOB Finance Web
  13. 13. 13 Azure Saturday 2018 What is BI? Special requirements Combine data from different sources Combine historical and current data Bulk Load enabling Read over write performance Denormalization Column Store Indexes React to concurrency peaks
  14. 14. 14 Azure Saturday 2018 Which chances and risks do exist for BI in the cloud? No „Microsoft only“ topic:
  15. 15. 15 Azure Saturday 2018 Which chances and risks do exist for BI in the cloud? Chance Risk Accessibility X Scalability X Improved cost management (PaaS, pay only when you need something) X (X) Geo replication (support on roadmap) X Security (X) Online only (For BI a general risk, because on-prem BI very often requires online access from customers) (X) Self-service X (X)
  16. 16. 16 Azure Saturday 2018 Which BI features are already available in the cloud? E(T)L Azure Data Factory I + II (with SSIS) Logic Apps PowerBI Model/AAS Get Data Experience (using M) Common Data Services/Common Data Services for Analytics (PowerBI) ... DWH Azure SQL Datawarehouse Azure SQL Database Azure Data Lake ...
  17. 17. 17 Azure Saturday 2018 Which BI features are already available in the cloud? Mart PowerBI Model (not accessible from other applications apart from Excel) Common Data Services/Common Data Services for Analytics (PowerBI) Datamining / Analysis Azure Machine Learning Cognitive Services Azure Data Lake Analytics … Presentation Layer PowerBI
  18. 18. 18 Azure Saturday 2018 Current Microsoft BI Landscape Analysis Server Services
  19. 19. 19 Azure Saturday 2018 How can Azure AS improve „BI in the cloud“? (I) Two questions: 1. What are the advantages compared to SSAS on-premise? 2. What are the advantages compared to already existing services for this feature set?
  20. 20. 20 Azure Saturday 2018 Advantages compared to SSAS on-premise (I) General cloud advantages Easy to set up Reduction of maintenance effort Nearly no waiting times for supply of infratructure Delete when no longer needed Near high availability without additional cost Earlier access to new features
  21. 21. 21 Azure Saturday 2018 Advantages compared to SSAS on-premise (II) Scale up/down Scale out Pause/Resume Usage Based Payment
  22. 22. 22 Azure Saturday 2018 Demo Show Azure portal with Azure AS General overview Scale up/down Scale out
  23. 23. 23 Azure Saturday 2018 How can Azure AS improve „BI in the cloud“? (II) Azure Analysis Services offers the possibility to implement a semantic layer in the cloud. Even more, you have the chance to create a data virtualization layer! From the feature perspective it covers the same elements that PowerBI does. So why would you need Azure AS on top?
  24. 24. 24 Azure Saturday 2018 Advantages compared to PowerBI (I) PowerBI Pro PowerBI Premium Azure Analysis Services Model/Data Set Size 1 GB not restricted (initial upload restricted to 10 GB) based on pricing tier (current max: 400 GB) Refresh times per day 8 not restricted not restricted Partitioning/Incremental refresh No Public Preview Yes (not Basic) Scalability No Yes Yes Cost management by pausing service No (user licenses) No Yes Usage of development toolset PowerBI Desktop On the roadmap (June) Yes Integrate into development strategies like continuous integration No On the roadmap (June) Yes Extend modelling to functionality of multidimensional No No in evalution: vote here
  25. 25. 25 Azure Saturday 2018 Advantages compared to PowerBI (I) Accessibility for different front-end tools Usage based payment Enterprise ready (only compared to Pro !) Developer tool integration Source code integration Sizing and scalability (only compared to Pro !)
  26. 26. 26 Azure Saturday 2018 Examplatory cost comparison AAS vs PowerBI Premium Business Scenario PowerBI Premium * AAS + PowerBI Pro Dataset size 50GB Business hours 24/7 100 Pro users, 400 consuming users 1 P1 Node x $ 4,995.00 ($ 4,995.00) + 100 x $ 9.99 ($ 999.00) = $ 5,994.00 744 (31 days * 24 hours) x $ 4.06 ($ 3,020.64) + 500 x $ 9.99 ($ 4,995.00) = $ 8,015.64 Dataset size 50GB Business hours 10/5 100 Pro users, 400 consuming users 1 P1 Node x $ 4,995.00 ($ 4,995.00) + 100 x $ 9.99 ($ 999.00) = $ 5,994.00 220 (22 days * 10 hours) x $ 4.06 ($ 893,20) + 500 x $ 9.99 ($ 4,995.00) = $ 5,888.20 Dataset size 50GB Business hours 24/7 500 Pro users 1 P1 Node x $ 4,995.00 ($ 4,995.00) + 500 x $ 9.99 ($ 4,995.00) = $ 9,990.00 744 (31 days * 24 hours) x $ 4.06 ($ 3,020.64) + 500 x $ 9.99 ($ 4,995.00) = $ 8,015.64 * Source: https://powerbi.microsoft.com/en-us/calculator/
  27. 27. 27 Azure Saturday 2018 Close the gap between user requests and Enterprise BI Key User Self Service BI AAS Web Designer + Enterprise Migration Enterprise BI Frontends Standard Users
  28. 28. 28 Azure Saturday 2018 Demo • Show Analysis Services Web Designer • Import PowerBI Model • Show BISM Normalizer • Compare new AAS model to „enterprise model“
  29. 29. 29 Azure Saturday 2018 Conclusion • Does AAS add considerable value to „BI in the cloud“?  Definitely yes! • Is AAS a must-have service in all scenarios?  Not necessarily! PowerBI Premium grows to be a suitable alternative in some cases a better price, but you won‘t be able to use other visualization tools on it. • In which scenarios does AAS make sense?  Create a semantic layer/data virtualization layer as single point of truth for your reporting and analytics  Migration existing semantic layer (SSAS Tabular) into the cloud  Integrate PowerBI Pro developments into existing semantic layer
  30. 30. 30 Azure Saturday 2018 References Azure Analysis Services https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-overview# https://www.kasperonbi.com/analysis-services-in-azure-when-and-why/ https://www.kasperonbi.com/getting-your-on-premise-ssas-tabular-model-to-azure/ https://azure.microsoft.com/de-de/blog/1400-models-in-azure-as/ What is BI? http://www.gartner.com/it-glossary/business-intelligence-bi/ http://blogs.forrester.com/boris_evelson/10-04-29- want_know_what_forresters_lead_data_analysts_are_thinking_about_bi_and_data_domain BI in the cloud http://biinthecloud.com/ https://cloud.oracle.com/business_intelligence https://www.microsoft.com/en-us/sql-server/business-intelligence
  31. 31. 31 Azure Saturday 2018 Useful links My favorite blogs: https://blogs.msdn.microsoft.com/analysisservices/ https://powerbi.microsoft.com/de-de/blog/ https://blog.crossjoin.co.uk/ https://guyinacube.com/ https://www.kasperonbi.com/ https://www.sqlbi.com/ http://radacad.com/blog https://sqlserverbi.blog/ Business Apps Release Notes ( PowerBI roadmap): https://aka.ms/businessappsreleasenotes
  32. 32. 32 Azure Saturday 2018 Azure Saturday 2018 We appreciate your feedback! https://form.responster.com/j45SWW

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