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PowerBi Event with Machine Learning

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PowerBi Event with Machine Learning

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PowerBi Event with Machine Learning

  1. 1. BASEL BERN BRUGG BUCHAREST DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MANNHEIM MUNICH STUTTGART VIENNA ZURICH Power BI with Machine Learning Grüezi | Willkommen | Bonjour | Welcome | Velkommen Olaf Nimz Noam Arnold Denis Selimovic
  2. 2. Trivadis – Our key figures Presentation title3 15.10.2018 Founded in 1994 16 Trivadis locations with more than 650 employees Sales of CHF 111 million (EUR 96 million) Over 250 Service Level Agreements More than 4000 training participants Research and development budget: CHF 5.0 million More than 1900 projects each year with over 800 customers Financially independent and sustainably profitable
  3. 3. Trivadis – What sets us apart. Presentation title4 15.10.2018 We understand the business processes and economic challenges of our customers and support them through IT consulting and in the development of comprehensive IT solutions. Our proven products, developed by Trivadis, are based on in-depth expertise in the key technologies offered by Microsoft, Oracle and Open Source. That sets us apart from the competition. A selection of awards we have received OPEN SOURCE
  4. 4. Delivery of gas stations in Switzerland
  5. 5. Our demo scenario Tricast - Azure Big Data6 15.10.2018 Tank filling Postal Codes Holidays PLZ Mix and match the sources Visual insights of your data Interactive integration of R
  6. 6. Data Sources Data Preparation Data Storage Data Analysis Data Access OLTP Database Extract Transform Load Data Warehouse Data Mart OLAP In-Memory Analytics Data Mining Reports - Tablix - Drill - Visualisations Dashboard - Mash-up - Collaborate - Search OnpremiseCloud DBMS SSIS DBMS ERP Database SSAS Power BI Report Server MDS Power Query PowerPivot Pivot Table Power View, Power Map Power BI Desktop Hadoop Power BI Azure SQL DB /SQL DWH Azure Analysis Services Data Factory Machine Learining Azure Cosmos DB Logic App
  7. 7. Data Sources Data Preparation Data Storage Data Analysis Data Access OLTP Database Extract Transform Load Data Warehouse Data Mart OLAP In-Memory Analytics Data Mining Reports - Tablix - Drill - Visualisations Dashboard - Mash-up - Collaborate - Search OnpremiseCloud DBMS SSIS DBMS ERP Database SSAS Power BI Report Server MDS Power Query PowerPivot Pivot Table Power View, Power Map Power BI Desktop Hadoop Power BI Azure SQL DB /SQL DWH Azure Analysis Services Data Factory Machine Learining Azure Cosmos DB Logic App
  8. 8. Our demo scenario Tricast - Azure Big Data10 15.10.2018 Tank filling Postal Codes Holidays PLZ Mix and match the sources Visual insights of your data Interactive integration of R
  9. 9. 10/15/2018 Mix and match all your sources
  10. 10. Our demo scenario Tricast - Azure Big Data12 15.10.2018 Tank filling Postal Codes Holidays PLZ Mix and match the sources Visual insights of your data Interactive integration of R
  11. 11. Data Sources Data Preparation Data Storage Data Analysis Data Access OLTP Database Extract Transform Load Data Warehouse Data Mart OLAP In-Memory Analytics Data Mining Reports - Tablix - Drill - Visualisations Dashboard - Mash-up - Collaborate - Search OnpremiseCloud DBMS SSIS DBMS ERP Database SSAS Power BI Report Server MDS Power Query PowerPivot Pivot Table Power View, Power Map Power BI Desktop Hadoop Power BI Azure SQL DB /SQL DWH Azure Analysis Services Data Factory Machine Learining Azure Cosmos DB Logic App
  12. 12. 10/15/2018 Visual insights of your data
  13. 13. 10/15/2018 Import Mode – Self Service and Prototyping SSAS Tabular SSAS Multidim Services Power BI Desktop Publish Dataset & Report SQL Server import On Premis Data Gateway Refresh & Schedule Sonstige Azure SQL DB Refresh & Schedule .pbix = 1 GB Other Online Sources
  14. 14. Governed way Bezeichnung Präsentation16 15.10.2018 Azure Analysis Services - Scaling - Partioning import
  15. 15. 10/15/2018 Live Mode – the governent way SSAS Tabular SSAS MOLAP Services Power BI Desktop Publish Report (no Data) On Premis Data Gateway .pbix = 10 kb Live Connection Live Connection Azure Analysis Services Live Connection Live Connection
  16. 16. Our demo scenario Tricast - Azure Big Data20 15.10.2018 Tank filling Postal Codes Holidays PLZ Mix and match the sources Visual insights of your data Interactive integration of R
  17. 17. 10/15/2018 Interactive integration of R
  18. 18. BASEL BERN BRUGG BUCHAREST DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MANNHEIM MUNICH STUTTGART VIENNA ZURICH Thank you. For questions, please do not hesitate to contact: Olaf Nimz +41 58 459 50 14 Noam Arnold +41 58 459 51 67 Denis Selimovic +41 58459 50 96 15.10.2018Presentation title22

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