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

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Summary

  • intermediate
  • azure-event-hubs
  • azure-data-lake
  • azure-databricks
  • azure-stream-analytics
  • azure
  • 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

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