One of the most common requirement on a projects nowadays is real time monitoring and reporting. Easy to say, expensive to implement and complex to maintain. In this session we'll take a look on the Azure Services that enable us to fulfil this requirements with minimal effort and with maximum benefits. We have on our radar services like Azure Time Series Insights, Analysis Services and PowerBI. After this session you will know what are the services can be used for near-real time and what does near-real time means in the real world.
33. Easy to get started
Near-real time insights
Build custom solution
Scalable
Drill down into the problem
34. Ingress per Unit
• 720 events per minute
• 1M per day or 1 GB
• 1 event is equal to 1 KB
• Scale up to 10 Ingress Units
Storage per Unit
• 30 GB or 30M events
• Max retention policy is 13 months
• Ingress per day needs to be equal to max average daily
35. S2
Ingress per Unit
• 7200 events per minute
• 10M per day or 10 GB
• 1 event is equal to 1 KB
• Scale up to 10 Ingress Units
Storage per Unit
• 300 GB or 300M events
• Max retention policy is 13 months
• Ingress per day needs to be equal to max average daily
45. Reports
• 1 to n pages
• One dataset
• Complext filtering
support
• No support for alerts
• Available from dashboard
Dashboards
• One Page
• Multiple datasets
• No filter support
• Can create alerts
• Support for natural
language queries
48. Free Paid
Web Based only Web Based and Desktop
One data source Multiple data source
Specific time interval
Real-time communication and updates with
full interactivity
1 GB per user 10 GB per user
Natural Language Query Natural Language Query
Data streaming of 10.000 rows per hour Data streaming of 1M rows per hour
Share data queries over Data Catalog
Manage organization content packs