Coursera

Data Engineering with MS Azure Synapse Apache Spark Pools (Coursera)

Offered by Microsoft,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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).

What You Will Learn

How to perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications.

Course 6 of 10 in the Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization.

Syllabus

WEEK 1
Big Data Engineering
In this module you will learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools. 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

WEEK 2
Query pools and manage workloads in Azure Synapse Analytics
Integrate SQL and Apach Spark pools in Azure Synapse Analytics
Monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics

WEEK 3
Practice Exam on Perform data engineering with Azure Synapse Apache Spark Pools

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

LearnQuest

Developing AI Applications on Azure (Coursera)

Data Science

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Aug 24th 2026

5-12 Weeks

ML Artificial Intelligence Machine Learning

Coursera

École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

CS: Theory CS: Programming

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026

4 Weeks

Programming Algorithms SQL

Coursera

Whizlabs

Infrastructure Automation with Terraform (Coursera)

CS: Information & Technology

Terraform is one of the most recognized infrastructure automation tools that help in addressing various real-life challenges. Infrastructure automation is a reliable instrument for improving productivity, efficiency, and reduction of operational downtime for enterprises. As a result, you can gain better career opportunities with skills in infrastructure automation with Terraform.

Sep 14th 2026

5-12 Weeks

GCP Azure Google Cloud Platform

Coursera

Whizlabs

Azure: Security Operations Management (Coursera)

CS: Information & Technology

Azure: Security Operations Management Course is the fourth course of the Exam Prep AZ-500: Microsoft Azure Security Engineer Associate Specialization. This course is designed to describe the concepts of Managing Security operations related to multiple Azure services. In This course, you will how to Plan, implement, and manage governance for security, how to Manage security posture by using Microsoft Defender for Cloud, Configuration, and management of threat protection by using Microsoft Defender for Cloud, Configuration, and management of security monitoring and automation solutions.

Aug 31st 2026

3 Weeks

Cloud Automation Azure

Coursera

Microsoft

Modern Data Warehouse Analytics in Microsoft Azure (Coursera)

CS: Information & Technology

In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.

Aug 31st 2026

2 Weeks

Synapse Microsoft Azure Azure HDInsight

Coursera

École Polytechnique Fédérale de Lausanne

Functional Programming in Scala Capstone (Coursera)

Statistics & Data Analysis Data Science

In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world.

Sep 7th 2026

5-12 Weeks

Interface Scala Interactive

Coursera

IBM

Data Engineering Career Guide and Interview Preparation (Coursera)

Personal and Professional Development

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch.

Sep 14th 2026

4 Weeks

Interview Interviewing Job Interview

Coursera

Microsoft

Preparing for the AZ-900 Microsoft Azure Fundamentals Exam (Coursera)

Security & Networking

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare for the AZ-900 Microsoft Azure Fundamentals exam. You will refresh your knowledge of cloud concepts, Microsoft Azure services, Microsoft Azure workloads, security and privacy in Microsoft Azure, as well as Microsoft Azure pricing and support. in short, you will recap all the core concepts and skills that are measured by the exam.

Aug 31st 2026

5-12 Weeks

Microsoft Azure Azure Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization

Coursera

IBM

Introduction to Big Data with Spark and Hadoop (Coursera)

CS: Information & Technology

Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this course, you will learn about the characteristics of Big Data and its application in Big Data Analytics. You will gain an understanding about the features, benefits, limitations, and applications of some of the Big Data processing tools. You’ll explore how Hadoop and Hive help leverage the benefits of Big Data while overcoming some of the challenges it poses.

Aug 31st 2026

5-12 Weeks

Big Data Hadoop Apache Spark

Coursera

Microsoft

Microsoft Azure Management Tools and Security Solutions (Coursera)

Security & Networking

Microsoft Azure offers a wide range of services to deploy your applications. To keep control of your environment and to make deployments easier, it also offers a wide array of management tools and services. In this course, you will be introduced to these tools and services and you will be asked to help choose the best one for a given business scenario.

Aug 31st 2026

4 Weeks

Microsoft Azure Network Security Azure

Coursera

University of California, San Diego

Machine Learning With Big Data (Coursera)

Statistics & Data Analysis Data Science

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Aug 31st 2026

5-12 Weeks

Algorithms Machine Learning Big Data

Coursera

Microsoft

Preparing for AI-900: Microsoft Azure AI Fundamentals exam (Coursera)

Data Science

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam. You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. In short, you will recap all the core concepts and skills that are measured by the exam.

Aug 31st 2026

4 Weeks

NLP Machine Learning Microsoft Azure