Selecting an Appropriate Data Storage Service in Microsoft Azure
Course info
Course info
Description
The ability to use mange data is essential for a business to stay competitive. In this course, Selecting an Appropriate Data Storage Service in Microsoft Azure, you’ll be introduced to Azure solutions for storing big data. First, you will learn what types of data are out there. Next, you will explore what factors are involved in storing that data. Finally, you will discover what type of storage is appropriate for what you want to do with your data. When you are finished with this course, you will have a solid understanding of how data is used, and this will help you move forward to discover more about data engineering.
About the author
Gary has been working in Information Technology for over 15 years. He has worked with Exchange Server since version 5.5 and has experience in both training and hands on implementations. His energetic delivery and passion for technology makes him a popular trainer. He has developed many online courses and delivers training all over the world.
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Section Introduction Transcripts
Course Overview
Hello, my name is Gary Grudzinskas. I've been working with Microsoft Azure and data for many years now. In this course, we are going to discover data engineering and how Azure data services can store various amounts of data for various types of uses. Some of the major topics that we'll cover include how data is classified, how data flows and how data is evaluated, and most importantly, what type of storage is appropriate for what you want to do with your data. By the end of this course, you'll know how Azure data services can work for you. From here, you should feel comfortable in gaining more depth in data engineering with courses on the Azure data services, which will provide more detail. So please join me on this big data journey to learn about data engineering with the Selecting an Appropriate Data Storage Service in Microsoft Azure course, here at Pluralsight.
