Elastic Databases and Data Processing with AWS

This course will show you how to expand your database and data processing capabilities by leveraging some of the fully managed data processing technologies available through AWS. Filled with practical, real-life examples, this course will cover scalable, next-generation NoSQL database technologies such as DynamoDB, which will help you build fault-tolerant applications and understand the benefits from fully managed SQL services such as RDS, Redshift, and Athena. By the end of the course, viewers will be able to build a fully managed Elastic Database that can be managed with a single click. This will also help you drastically reduce the time it takes to set it up, and also minimize the errors or challenges faced by administrators in real life.

About the author

James Cross

Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, machine learning, and cloud computing. Over the past few years they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make better sense of their data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge-scale, streaming big data platforms, Cloud-based analytics stacks, and serverless architectures.

He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then he's worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark, and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey.

James is an AWS certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of API's and analytics stacks based around Lambda and Redshift.

He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go!

Who is the target audience?

• This video course targets application developers, architects looking to work with databases and data processing in the cloud, system administrators interested in supporting the migration of databases, and AWSIT professionals with an interest in cloud computing to support data processing.