Azure Data Engineer Associate (DP-203) Cert Prep: 4 Monitor and Optimize Data Storage and Data Processing
Offered By: LinkedIn Learning
Course Description
Overview
Learn about monitoring and optimizing data security and data processing on Azure and prepare to pass that domain of the Microsoft Azure Data Engineering (DP-203) exam.
Syllabus
Introduction
- Course introduction
- Implement logging used by Azure Monitor
- Configure monitoring services
- Measure performance of data movement
- Monitor data system/pipeline/cluster performance
- Measure query performance
- Schedule and monitor pipeline tests
- Interpret a Spark directed acyclic graph (DAG)
- Rewrite user-defined functions (UDFs)
- Handle skew in data and data spill
- Tune shuffle partitions/pipelines
- Optimize resource management
- Tune queries by using indexers and cache
- Troubleshoot a failed Spark job and pipeline run
- Summary and next steps
Taught by
Noah Gift
Related Courses
内存数据库管理openHPI CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX Processing Big Data with Azure Data Lake Analytics
Microsoft via edX Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Google Cloud via Coursera