The amount of data in the world of business continues to grow almost exponentially. This course will teach you how to use AWS provided tools to create the necessary support structure for handling big data now and in the future.
As the world of business continues to operate at a normal pace, the amount of data that is generated grows almost exponentially. Handling this increase in data requires both intelligent applications and smart tooling. In this course, AWS Big Data in Production, you will learn how to strategically implement big data on AWS in production environments. First, you will learn how to automate infrastructure provisioning with CloudFormation all the while controlling costs. Next, you will discover how to secure customer data through IAM and encryption at rest with S3 and EBS. Finally, you will explore how to visualize data using QuickSight. When you're finished with this course, you will have the skills and knowledge of big data practices needed to enrich your current big data systems.
Matthew Alexander is a Software Engineer with years of practical experience building distributed systems in the AWS cloud. In his current capacity he leads the charge in designing and implementing next generation infrastructure for Lucid Software, Inc. Prior to working for Lucid, he was instrumental in designing and bringing to life several of AWS' external and internal product offerings for Cloudfront ([email protected]) and S3.
Course Overview Hi, my name is Matthew Alexander, and welcome to my course, AWS Big Data in Production. I'm a software engineer at Lucid Software, where my forte is creating repeatable, robust solutions to big data problems. With more than 2.5 quintillion bytes of data generated every day, it is no wonder that new techniques are introduced at such a rapid pace, not only to efficiently process increasing amounts of data, but also architectural patterns to support such large datasets. In this course, we will cover topics adjacent to big data that in turn will help you effectively practice big data in your own organization. Some of the major topics we will cover include automating architecture deployments through cloud formation, securing your data, several supported patterns for controlling costs, and possibly most important, visualizing data with AWS QuickSight. By the end of this course, you will have a better holistic set of skills pertaining to your big data practices. I hope that you'll join me as we seek to strengthen some of the foundational principles of big data practices with the AWS Big Data in Production course at Pluralsight.