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on
1
Intro
2
Irinas background
3
District heating
4
Smart meter
5
Data collection
6
Huge opportunity
7
Large enterprises
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Near realtime data
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Traditional approach
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Response time
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Data handling
12
Caching strategies
13
Challenges
14
One service
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Visualization tool
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Azure Analysis Services
17
Microsoft Power BI
18
What is Power BI
19
Power BI Desktop
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Power BI Reports
21
Application overview
22
Architecture overview
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Data transformation process
24
Azure Data Factory
25
Star Schema
26
Data sources
27
Power BI Report
28
Config
29
Multilanguage support
30
Live demo
31
Filters
32
Data hierarchy
33
Embedding options
34
Application authentication
35
RowLevel Security
36
Authentication
37
Process overview
38
Cost management
39
Benefits
40
Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore an architectural approach for processing and visualizing large datasets in web applications using Microsoft Power BI Embedded. Learn how to handle billions of database rows and slow data sources efficiently by leveraging Azure Databricks for data processing, Azure Analysis Services for in-memory modeling, and Power BI Embedded for data visualization. Discover techniques to filter and aggregate data effectively, providing a rich user experience for customers. Gain insights into authentication flow, application security, and cost management strategies. Understand the benefits of this approach, including improved performance and simplified web application design. Through a live demo, examine practical implementations of filters, data hierarchies, and embedding options. By the end of this conference talk, acquire a clear understanding of a powerful method for big data processing and visualization, enabling you to develop robust applications while avoiding common pitfalls.

Billions of Records - The Real Success Story Using Microsoft Power BI Embedded

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