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  • Course

Create and Monitor Data Pipelines for a Batch Processing Solution

Data analytics at the serving layer come easy with a well designed and implemented data process. This course will teach you key considerations and design principles of creating and monitoring data pipelines for a batch processing solution.

Advanced
1h 29m
(32)

Created by Bismark Adomako

Last Updated Aug 22, 2024

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  • Course

Create and Monitor Data Pipelines for a Batch Processing Solution

Data analytics at the serving layer come easy with a well designed and implemented data process. This course will teach you key considerations and design principles of creating and monitoring data pipelines for a batch processing solution.

Advanced
1h 29m
(32)

Created by Bismark Adomako

Last Updated Aug 22, 2024

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

As a data specialist, you may be required to design and implement an end-to-end data pipeline for a batch processing solution. In this course, Create and Monitor Data Pipelines for a Batch Processing Solution, you’ll learn to design and implement data pipelines for a batch processing solution. First, you’ll explore the available data storages on Azure. Next, you’ll discover and develop batch processing solutions using Azure Data Factory and the available data storages. Finally, you’ll learn how to automate the data processing process and how to monitor for optimization and efficiency. When you’re finished with this course, you’ll have the skills and knowledge of a data professional needed to build and monitor end-to-end data pipelines.

Create and Monitor Data Pipelines for a Batch Processing Solution
Advanced
1h 29m
(32)
Table of contents

About the author
Bismark Adomako - Pluralsight course - Create and Monitor Data Pipelines for a Batch Processing Solution
Bismark Adomako
17 courses 3.7 author rating 132 ratings

Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.

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