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)

Amazon Athena


In simple terms, Amazon Athena is nothing but an interactive query service that is serverless. It makes use of standard SQL to analyze data in Amazon S3. It allows you to quickly query structured, unstructured, and semi-structured data that is stored in S3. With Athena, you don't need to load any datasets locally or write any complex ETLs (Extracts, Transforms, and Loads) as it provides the capability to read data directly from S3.

Note

ETL is a popular concept from the data warehouse world, where three separate functions are used to prepare data for data analysis. The term extract refers to data extraction from the source dataset, transform refers to data transformation (if required), and load refers to data loading in the final tables, which will be used for data analysis.

The Amazon Athena service uses Presto technology. Presto is a distributed SQL query engine that is open source. Presto provides a SQL-like dialect for querying data and is designed to provide fast performance...