DP-203: Data Engineering on Microsoft Azure (beta)

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Summary

  • intermediate
  • azure
  • azure-stream-analytics
  • azure-event-hubs
  • azure-data-lake
  • azure-databricks
  • Azure Data Engineers integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.Candidates for Exam DP-203: Data Engineering on Microsoft Azure must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.Note: This exam will be available on February 23, 2021.

Learning paths

1 hr 51 min
Explore how the world of data has evolved and how the advent of cloud technologies is providing new opportunities for business to explore. You will learn the various data platform technologies that are available, and how a Data Engineer can take advantage of this technology to an organization benefit.

Modules in this learning path

  • Understand the evolving world of data
    6 Units
    28 min

    Learn how data systems are evolving and how the changes affect data professionals. Explore the differences between on-premises and cloud data solutions, and consider sample business cases that apply cloud technologies.

  • Survey the services on the Azure Data platform
    11 Units
    58 min

    Learn about Azure technologies that analyze text and images and relational, nonrelational, or streaming data. See how data engineers can choose the technologies that meet their business needs and scale to meet demand securely.

  • Identify the tasks of a data engineer in a cloud-hosted architecture
    5 Units
    25 min

    Learn about the responsibilities of a data engineer. Find out how they relate to the jobs of other data and AI professionals. Explore common data engineering practices and a high-level architecting process for a data-engineering project.

2 hr 43 min
Data integration at scale with Azure Data Factory
3 hr 10 min
Realize Integrated Analytical Solutions with Azure Synapse Analytics
4 hr 11 min
Work with Data Warehouses using Azure Synapse Analytics
2 hr 26 min
Perform data engineering with Azure Synapse Apache Spark Pools
10 hr 32 min
Data engineering with Azure Databricks