Microsoft Azure Databricks for Data Engineering
This course provides an introduction to Microsoft Azure Databricks, a powerful platform for running large data engineering workloads in the cloud. Learn how to use Apache Spark and clusters to maximize the potential of the Azure Databricks platform. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
22nd May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Learners can learn a variety of topics from this Microsoft Azure Databricks for Data Engineering course. Firstly, they can gain an understanding of the capabilities of Azure Databricks and the Apache Spark notebook for processing large files. Secondly, they can learn the architecture of an Azure Databricks Spark Cluster and Spark Jobs. Thirdly, they can learn how to work with large amounts of data from multiple sources in different raw formats. Lastly, they can learn how Azure Databricks supports day-to-day data-handling functions, such as reads, writes, and queries. This course is also a great opportunity to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta) and gain expertise in designing and implementing data solutions that use Microsoft Azure data services.
Pros & Cons
Comprehensive overview of main topics.
Gained practical knowledge.
Great content.
Outdated exercises.
Not all exercises are free.
Charges for VMs.
Course Provider
Provider Coursera's Stats at AZClass
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