Whenever you’re doing data analytics, the first step is to find a way to collect all the information you want to process. In this course, Collecting Data on AWS, you’ll learn to determine the best ways to ingest your data into AWS. First, you’ll explore how to collect data in AWS over a dedicated network or with hardware appliances. Next, you’ll discover how you can migrate databases using the Database Migration Service (DMS). Finally, you’ll learn how to leverage the Amazon Kinesis family of services, and when each of those is most appropriate. When you’re finished with this course, you’ll have the skills and knowledge of Data Collection on AWS needed to prepare your own data ingestion pipelines.
Fernando works full time learning the newest trends and tools in application development in order to share them with application developers and architects. He especially enjoys helping others learn about cloud infrastructure offerings to better support the needs of developers and the organizations that they work with.
Course Overview Hi, everyone. My name is Fernando Medina Corey, and welcome to my course, Collecting Data on AWS. I'm a cloud architect at Stormlight Consulting, and I've worked with dozens of AWS services over the years on projects ranging from data pipelines to web applications. AWS has one of the most robust public cloud platforms for data analytics, and data engineers and other data professionals have some of the best career prospects in the technology industry. This course is a quick introduction to AWS data collection services and other services that integrate with them. No prior experience with AWS is required. Some of the major topics that we will cover include collecting real‑time streaming data with Kinesis Data Streams, analyzing streaming data with Kinesis Analytics, transforming and delivering data with Kinesis Firehose and AWS Lambda, and use cases for the Amazon Snow Family of hardware appliances. By the end of this course, you'll know how to use different AWS data collection technologies to get your data into AWS and how to analyze or apply transformations to the data you're working with. Before beginning this course, you may want to have a general understanding of cloud services and some programming experience, but all code samples and demos will be provided, and we'll walk through everything step by step. From here, you should feel comfortable diving into other AWS topics with courses on Storing Data on AWS, An Introduction to AWS Lambda, or AWS IoT: The Big Picture. I hope you'll join me on this journey to learn about AWS data technologies with the Collecting Data on AWS course, here at Pluralsight.