Data Engineering On Microsoft | DP-203 (via e-learning)

Microsoft Azure is a set of cloud computing services that constantly continues to grow. Azure helps your organization solve all kinds of business challenges. With Azure, your organization has the free

During the course Data Engineering On Microsoft | DP-203 (via e-learning) the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake.
They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data.
Course outcome:

explore compute and storage options for data engineering workloads in Azure;
design and Implement the serving layer;
understand data engineering considerations;
run interactive queries using serverl