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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.

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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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What's inside

Syllabus

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
Read more
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
Practice Exam on Perform data engineering with Azure Synapse Apache Spark Pools

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers industry-standard Apache Spark and data engineering with Microsoft Azure tools
Taught by Microsoft, a reputable provider of data engineering solutions
Covers advanced data engineering techniques using Apache Spark Pools in Azure Synapse
Prepares learners for the Microsoft Certified: Data Engineer Associate certification exam
Requires prior knowledge of Azure Synapse Analytics and Apache Spark
Assumes familiarity with big data engineering concepts and practices
Part of a larger Specialization program, requiring additional courses for comprehensive preparation

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Engineering with MS Azure Synapse Apache Spark Pools with these activities:
Review Apache Spark and Azure Data Analytics
Prepare for the course by reviewing Apache Spark and Azure Data Analytics
Browse courses on Apache Spark
Show steps
  • Go over Apache Sparkの基本
  • Review Azure Data Analytics の機能
Follow a tutorial on Apache Spark Pools in Azure Synapse Analytics
Enhance your understanding of Apache Spark Pools in Azure Synapse Analytics through guided tutorials
Show steps
  • Find tutorials on Apache Spark Pools in Azure Synapse Analytics
  • Follow the tutorials step-by-step
  • Complete the exercises and examples provided
Practice data engineering tasks with Apache Spark Pools
Reinforce your learning by practicing data engineering tasks with Apache Spark Pools
Show steps
  • Set up an Azure Synapse Analytics workspace
  • Create an Apache Spark Pool
  • Ingest data using Apache Spark Notebooks
  • Transform data using DataFrames
  • Integrate SQL and Apache Spark Pools
Show all three activities

Career center

Learners who complete Data Engineering with MS Azure Synapse Apache Spark Pools will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and data systems. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Data Management Specialist
A Data Management Specialist manages and governs data assets. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Data Architect
A Data Architect designs and builds the infrastructure and processes for managing and using data. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Data Governance Specialist
A Data Governance Specialist develops and implements data governance policies and procedures. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Data Integration Specialist
A Data Integration Specialist integrates data from different sources into a single, unified view. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Information Architect
An Information Architect designs and manages the structure and organization of information. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Data Scientist
A Data Scientist uses data to solve business problems and make predictions. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses make better decisions. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Database Administrator
A Database Administrator manages and maintains databases. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Cloud Engineer
A Cloud Engineer designs, builds, and manages cloud-based applications and infrastructure. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Business Analyst
A Business Analyst analyzes business needs and develops solutions to improve business processes. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Quality Assurance Analyst
A Quality Assurance Analyst tests and evaluates software products to ensure they meet quality standards. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.
Project Manager
A Project Manager plans, executes, and closes projects. This course can help you develop the skills and knowledge needed to succeed in this role by teaching you how to use Azure Synapse Apache Spark Pools to perform data engineering tasks. You will learn how to ingest, transform, and integrate data from various sources, and how to monitor and manage data engineering workloads.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Engineering with MS Azure Synapse Apache Spark Pools.
Is commonly used in the academic world as well as the software industry. It can serve as a helpful reference to many of the same concepts that are covered in this course.
Provides a thorough look at Apache Spark and it's components. This book is helpful for those who want more in-depth knowledge.
Provides a deep dive into advanced Spark topics, such as machine learning, graph processing, and streaming data analysis. It valuable resource for anyone who wants to learn how to use Spark for more complex data analysis tasks.
Provides a comprehensive overview of deep learning with Hadoop and Spark, including their architecture, components, and use cases. It valuable resource for anyone who wants to learn more about these technologies and how to use them for deep learning tasks.
Provides a comprehensive overview of computer vision with Hadoop and Spark, including their architecture, components, and use cases. It valuable resource for anyone who wants to learn more about these technologies and how to use them for computer vision tasks.
Provides a solid foundation to Apache Spark for those who are new. It might be a good way to supplement this course for those new to Spark.

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