In this course, you will learn about cloud-based big data solutions such as Amazon
Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the
AWS big data platform. You will learn how to use Amazon EMR to process data
using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally,
you will learn how to create big data environments, work with Amazon DynamoDB,
Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big
data environments for security and cost-effectiveness.
This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect ...
In this course, you will learn best practices for designing and using cloud-based video workflows. It covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for ...
This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data, model, and code to successful ML deployments. It will demonstrate the use of tools, ...
Security is foundational to AWS. Governance at scale is a new concept for automating cloud governance that can help companies retire manual processes in account management, budget enforcement, and security and compliance. By automating common challenges, companies can scale ...