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Microsoft Azure Data Engineer Associate (DP-203) Cert Prep: 4 Monitor and Optimize Data Storage and Data Processing by Microsoft Press

Offered By: LinkedIn Learning

Tags

Microsoft Azure Courses Data Engineering Courses Data Pipelines Courses Azure Monitor Courses

Course Description

Overview

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Explore the concepts and skills required to monitor and optimize data storage and data processing to pass the Microsoft Azure Data Engineer Associate (DP-203) certification exam.

Syllabus

1. Monitor Data Storage
  • Learning objectives
  • Implement logging used by Azure Monitor
  • Configure monitoring services
  • Measure performance of data movement
  • Monitor and update statistics about data across a system
  • Monitor data pipeline performance
  • Measure query performance
2. Monitor Data Processing
  • Learning objectives
  • Monitor cluster performance
  • Understand custom logging options
  • Schedule and monitor pipeline tests
  • Interpret Azure Monitor metrics and logs
  • Interpret a Spark Directed Acyclic Graph (DAG)
3. Tune Data Storage
  • Learning objectives
  • Compact small files
  • Rewrite user-defined functions (UDFs)
  • Handle skew in data
  • Handle data spill
  • Tune shuffle partitions
  • Find shuffling in a pipeline
  • Optimize resource management
4. Optimize and Troubleshoot Data Processing
  • Learning objectives
  • Tune queries by using indexers
  • Tune queries by using cache
  • Optimize pipelines for analytical or transactional purposes
  • Optimize pipeline for descriptive versus analytical workloads
  • Troubleshoot failed Spark jobs
  • Troubleshoot failed pipeline runs
Conclusion
  • Summary

Taught by

Microsoft Press and Tim Warner

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