Book Image

Serverless Architectures with AWS

By : Mohit Gupta
Book Image

Serverless Architectures with AWS

By: Mohit Gupta

Overview of this book

Serverless Architecture with AWS begins with an introduction to the serverless model and helps you get started with AWS and Lambda. You'll also get to grips with other capabilities of the AWS Serverless Platform and see how AWS supports enterprise-grade serverless applications with and without Lambda. This book will guide you in deploying your first serverless project and exploring the capabilities of serverless Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (S3 Amazon) using standard SQL. You’ll also learn about AWS Glue, a fully managed ETL service that makes categorizing data easy and cost-effective. You'll study how Amazon Kinesis makes it possible to unleash the potential of real-time data insights and analytics with capabilities such as video streams, data streams, data firehose, and data analytics. Last but not least, you’ll be equipped to combine Amazon Kinesis capabilities with AWS Lambda to create lightweight serverless architectures. By the end of the book, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS.
Table of Contents (8 chapters)

AWS Glue


AWS Glue is a serverless, cloud-optimized, and fully managed ETL service that provides automatic schema inference for your structured and semi-structured datasets. AWS Glue helps you understand your data, suggests transformations, and generates ETL scripts so that you don't need to do any ETL development.

You can also set up AWS Glue for running your ETL jobs, automatically provisioning and scaling the resources needed to complete them. You can point AWS Glue to your data that's stored on different AWS services such as S3, RDS, and Redshift. It finds out what your data is. It stores the related metadata, such as schemas and table definitions, in the AWS Glue Data Catalog.

Once your data is cataloged, you can start using it for different kinds of data analysis. For executing data transformations and data loading processes, AWS Glue generates code.

First, let's understand the major components of AWS Glue, which might be new to the students:

  • AWS Glue Data Catalog: A data catalog is used...