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- A Cloud Guru
DP-203: Data Ingestion and Preparation
In this course, you will learn data ingestion and preparation techniques in key Azure services that will prepare you for the DP-203 exam.
What you'll learn
The recommended order of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification is as follows: * Building an Azure Data Engineer Foundation * Data Ingestion and Preparation * Processing in Azure Using Batch Solutions * Processing in Azure Using Streaming Solutions * Secure, Monitor, and Optimize Data Storage and Processing Finally, use the practice exams to test your understanding for the exam. In this course, *DP-203: Data Ingestion and Preparation*, you’ll learn the foundational knowledge you will need to be successful on the DP-203: Data Engineering on Microsoft Azure exam. First, you’ll explore Azure Synapse, Azure Databricks, Azure Data Factory, and Azure Stream Analytics. Along the way, you'll learn how to import data, split data, Shred JSON, perform data exploratory analysis, and work with pipelines. In addition, you’ll learn how to work with streaming data and deal with issues such as out-of-order data or incomplete data. When you’re finished with the course, you’ll have the data ingestion and preparation skills you need to not only pass critical questions on the DP-203 exam, but you’ll have the foundation needed to have confidence in an interview to be a successful data engineer.
Table of contents
About the author
I am a multi cloud certified architect. I have consulted, trained, and worked with executives and IT professionals to understand, design, and implement cloud-based solutions. At A Cloud Guru, I created compelling training to teach architects, developers, and IT professionals how to implement cutting edge technology and achieve cloud certifications. At Cerner and Lone Light Analytics, I developed cloud-based solutions in Azure and AWS and consulted with business groups and clients to manage and migrate solutions into the cloud. In addition, I am a PMP certified project manager and adjunct professor at Mid America Nazarene University. I apply my knowledge of business strategy, project management, agile software development, and IT infrastructure to streamline business function and foster business growth. I have managed all aspects of the SDLC process and created and managed multiple project management offices.
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