DP-203: Data Engineering in Microsoft Azure, Part 6 of 7: Monitor Data Processing
with expert Eshant Garg
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Course at a glance
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| Release date | 4/18/2022 | |
| Level | Advanced | |
| Runtime | 0h 51m | |
| Closed captioning | N/A | |
| Transcript | N/A | |
| eBooks / courseware | N/A | |
| Hands-on labs | N/A | |
| Sample code | Included | |
| Exams | Included |
Course description
The DP-203 Exam is measured in Four domains: Design and implement data storage (40-45%), Design and develop data processing (25-30%), Design and implement data security (10-15%), and Monitor and optimize data storage and data processing (10-15%).
This course covers Monitoring Data Processing.
Prerequisites
AZ-900 Azure Fundamentals is very helpful but not required. A Candidate for the exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
Meet the expert
Eshant Garg has 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure & AWS).
As a developer and architect, he has worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies.
Course outline
Module 17
Monitor Data Processing (30:43)
- Introduction (00:08)
- Learning Objectives (01:35)
- Data Factory Monitor (15:15)
- Matrics Alerts Diagnostic Settings (13:36)
- Summary (00:08)
Monitoring DataBricks (21:02)
- Introduction (00:08)
- Monitoring Databricks (06:36)
- Monitoring Stream Analytics Jobs (14:09)
- Summary (00:08)