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 Kinesis Data Analytics


You are now able to consume real-time streaming data using Amazon Kinesis and Kinesis Firehose, and move it to a particular destination. How can you make this incoming data useful for your analysis? How can you make it possible to analyze the data in real time and perform actionable insights?

Amazon Kinesis Data Analytics is a fully managed service that allows you to interact with real-time streaming data, using SQL. This can be used to run standard queries, so that we can analyze the data and send processed information to different business intelligence tools and visualize it.

A common use case for the Kinesis Data Analytics application is time series analytics, which refers to extracting meaningful information from data, using time as a key factor. This type of information is useful in many scenarios, such as when you want to continuously check the top performing stocks every minute and send that information to your data warehouse to feed your live dashboard...