Azure Data Engineer Associate (DP-203) Cert Prep: 2 Design and Develop Data Processing

سرفصل های دوره

Are you preparing for the Microsoft Azure Data Engineering (DP-203) exam, or seeking a better understanding of how to design and develop data processing? This course, the second in a series, can help you. Noah Gift, founder of Pragmatic A.I. Labs and a Python Software Foundation Fellow, covers how to design and develop data processing with Azure. Noah shows you how to use Apache Spark, Data Factory, and Databricks to ingest and transform data in Azure. He goes over data cleaning and common data transformation tasks, then dives into batch processing solutions. After explaining how to integrate Jupyter/Python notebooks into your data pipeline, Noah discusses stream processing, the differences between stream and batch processing, and using the Azure Data Factory solution to manage your batches and pipelines.

Note: This course was created by Noah Gift. We are pleased to host this training in our library.

01 - Introduction

01 - Design and develop data processing on Microsoft Azure

02 - Quick prerequisite technology overview

02 - 1. Ingest and Transform Data

01 - Transform data by using Apache Spark

02 - Cleanse data

03 - Common data transform tasks

03 - 2. Design and Develop a Batch Processing Solution

01 - Develop batch processing solutions

02 - Integrate JupyterPython notebooks

04 - 3. Design and Develop a Stream Processing Solution

01 - Develop a stream processing solution

05 - 4. Manage Batches and Pipelines

01 - Manage batches and pipelines

06 - Conclusion

01 - Summary and next steps

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تولید کننده: LinkedIn Learning (Lynda)