Now Reading: MS Learn Fabric Analytics Engineer Challenge Part 12
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MS Learn Fabric Analytics Engineer Challenge Part 12
This post is the last in the series specifically about the modules in this Cloud Skills challenge. Yay! The deadline to complete the challenge is February 22, 2024, so I got there with 2 days to spare! This topic is also not covered on the exam, hence it is not being included in the Learn Together series of video topics.
In a few weeks, I will prepare and take the DP-600 exam, using the 50% off voucher I get from completing the skills challenge. I will document what else I did to prep for the exam and hopefully have what the outcome is, as I expect I will be taking the exam after it is out of beta. That will be the final post in this overall series on the challenge! Stay tuned, I expect that to be near the end of March 2024.
Previous posts in this series:
- Part 1 (Introduction, Lakehouses)
- Part 2 (Apache Spark)
- Part 3 (Delta Lake tables)
- Part 4 (Using Data Factory pipelines)
- Part 5 (Ingesting data with Dataflows Gen2)
- Part 6 (Getting started with data warehouses)
- Part 7 (Administration of Microsoft Fabric)
- Part 8 (Medallion architecture design)
- Part 9 (Spark & notebooks)
- Part 10 (Getting started with real-time analytics)
- Part 11 (Getting started with data science)
Microsoft Learn Module
Get started with Data Activator in Microsoft Fabric
This module reviews the Data Activator product – what it is for, understanding triggers, conditions and actions, reporting against its data etc.
The exercise has you walking through creating a Reflex based on sample data, for shipped items where the temperature is out of range (medicine in this example).
Key Takeaways
Data Activator is designed for real-time response, such as managing inventory on a real-time basis (identifying low stock and reordering it), or real-time customer engagement (a customer visits your website and you want to initiate a chat). Other examples are sending notifications when the temperature in a storage facility puts a product at risk (such as food storage temperature for perishable items). The examples themselves provide lots of interesting use cases.
Data Activator items are referred to as Reflexes. A Reflex item connects to your data sources, monitors the conditions you specify and initiates actions you prescribed.
- Triggers ("if-then" type statements)
- Conditions (circumstances under which the trigger becomes active)
- Actions (the result of a condition met by a trigger)
Since this is not part of the DP-600 exam, I opted not to complete the exercise at this time as I can always go back to it. I completed the Knowledge Check, and with that, I have completed all 13 modules! Woohoo!
Original Post https://jenkuntz.ca/2024/02/ms-learn-fabric-analytics-engineer-challenge-part-12/
