Data Engineering on Microsoft Azure | DP-203

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

In the course Data Engineering on Microsoft Azure (DP-203) you 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. You will begin by understanding the core compute and storage technologies that are used to build an analytical solution. You will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files.
You will learn how to interactively explore data stored in files in a data lake. Then 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 spend time on the course learning how to monitor and analyze the performance of analytical system so that you can optimize the performance of data loads, or queries that are issued against the systems.
You will understand the importance of implement