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Learner Reviews & Feedback for Data Engineering with MS Azure Synapse Apache Spark Pools by Microsoft

3.7
stars
30 ratings

About the Course

In this course, you will learn how to perform data engineering with Azure Synapse Apache Spark Pools, which enable you to boost the performance of big-data analytic applications by in-memory cluster computing. You will learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools and understand the use-cases of data-engineering with Apache Spark in Azure Synapse Analytics. You will also learn how to ingest data using Apache Spark Notebooks in Azure Synapse Analytics and transform data using DataFrames in Apache Spark Pools in Azure Synapse Analytics. You will integrate SQL and Apache Spark pools in Azure Synapse Analytics. You will also learn how to monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam. This is the sixth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta)....
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1 - 7 of 7 Reviews for Data Engineering with MS Azure Synapse Apache Spark Pools

By sandeep p

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Dec 20, 2021

Good overview of the architecture and options. The course will provide you high level details of the Spark capabilities. It's a beginner level course. I wish it was more hands-on with more practical examples.

By Jeanpierre N

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Sep 11, 2023

There are several mistakes in quizz so

By Piyush A

•

Mar 5, 2024

Content was very good and the course was very interactive. However, answer to few questions were observed incorrect. There is no way we could practice in the lab hence practical sessions were purely lacking. Even demos could be included instead of just the text to read wherever required which is easier to follow.

By Thi T A N

•

May 15, 2023

Lack of sandbox, which doesn't facilitate me to study properly. Questions are likely repeated and some answers aren't correct.

By Isaac S

•

Nov 28, 2022

Very slapdash- there was at least one TBD and at least one test question explicitly has the wrong answer (No, removing all nodes is NOT an optimization!). Labs would benefit from data being given to the student so they can follow along, rather than being reading comprehension exercises. Learn by doing, isn't that what Coursera is about?

By Guilherme L

•

Feb 22, 2022

Os textos de apoio são completamente inúteis

By Günes S

•

Oct 1, 2022

Unfortunately, this lesson also suffers from the following problems:

1. Lack of VM environment to exercise. It is available within similar GCP and IBM trainings.

2. Ambigious and wrong questions. Same question in the preparation quiz has different answers in the completion test.

3. The content differs from the official Microsoft Learn trainings.