Description
Microsoft Exam DP-203 Data Engineering on Microsoft Azure, the data engineering training course on Microsoft Azure for the DP-203 exam has been published by Pluralsight Academy. Microsoft Azure offers a wide range of services dedicated to solving common business data engineering problems. This skill teaches how these Azure services work together to enable you to design, implement, operate, monitor, optimize and secure data solutions in Microsoft Azure. This track is designed to help you prepare for the Microsoft DP-203 certification. Courses in this section address design elements for data engineering. For example, this skill course teaches how to design effective storage solutions, partitioning, security, and service layer principles for Microsoft Azure. The final part of this skill covers performance monitoring of the Microsoft Azure data environment. Special attention is paid to monitoring databases, monitoring data pipelines, configuring alerts and optimizing solutions.
What you will learn
- Data processing design and development
- Data security design and implementation
- Monitor and optimize data storage and data processing
Course specifications Microsoft Exam DP-203 Data Engineering on Microsoft Azure
- Publisher: Pluralsight
- teacher : Axel Sirota
- English language
- Education level: all levels
- Number of courses:
- Training duration: 12 hours and minutes
Microsoft Exam DP-203 Data Engineering on Microsoft Azure course chapters
Create and Monitor Data Pipelines for a Batch Processing Solution By Bismark Adomako
Create and Monitor Data Pipelines for a Stream Processing Solution By Ana Voicu
Design Principles for Effective Storage Solutions By Axel Sirota
Design Principles for Implementing Batch Processing Solutions By Axel Sirota
Design Principles for Implementing Data Security with Microsoft Azure By Bismark Adomako
Design Principles for Implementing Stream Processing Solution By thomas-leblanc
Design Principles for Partitioning with Azure By Axel Sirota
Design Principles for Serving Layer in Microsoft Azure By Bismark Adomako
Implement Security on Azure Data Lakes By Reza Salehi
Implement Security on Azure Synapse By Dayo Bamikole
Implementing Data Storage with Azure Data Lake By Bismark Adomako
Optimize Data Pipelines with Azure Data Factory and Synapse Analytics By Emilio Melo
Implement Data Auditing with Azure Data Lake By Tapan Ghatalia
Implement Partitioning with Azure By Niraj Josh
Course prerequisites
- This path is intended for learners familiar with Data Engineering Principles, Workloads and Best Practices.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.29 GB
Be the first to comment