In this course, you will learn about the data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies.
You will begin by understanding the core compute and storage technologies that are used to build an analytical solution. You will also learn how to interactively explore data stored in files in a data lake. You 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.
You will also learn the various ways they can transform the data using the same technologies that is used to ingest data. You will understand the importance of implementing security to ensure that the data is protected at rest or in transit. You will then show how to create a real-time analytical system to create real-time analytical solutions.