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Learning Path - Microsoft Exam DP-203 Data Engineering on Microsoft Azure

Last updated 12/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + vtt | Duration: 12h | Size: 1.55 GB


 

Microsoft Azure offers a spread of services dedicated to addressing common business data eeering problems. This skill teaches how these Azure services work together to enable you to design, implement, operationalize, monitor, optimize, and secure data solutions on Microsoft Azure. This path is designed to help prepare for the Microsoft DP-203 Certification Exam.

Microsoft Exam DP-900Microsoft Exam DP-100Data EeeringData ProcessingData Security

This path is intended for learners familiar with Data Eeering Principles, Workloads and Best Practices.

Microsoft Exam DP-900 (Azure Data Fundamentals).

Design and Develop Data Processing

Design and Implement Data Security

Monitor and Optimize Data Storage and Data Processing

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 Joshi

HomePage:

https://www.pluralsight.com/paths/microsoft-exam-dp-203-data-eeering-on-microsoft-azure

 

 

 


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