Scalable Data Streaming with Amazon Kinesis

Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale.
Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk.
By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA).

Type
ebook
Category
Data
publication date
2021-03-31
what you will learn

Get to grips with data streams, decoupled design, and real-time stream processing
Understand the properties of KFH that differentiate it from other Kinesis services
Monitor and scale KDS using CloudWatch metrics
Secure KDA with identity and access management (IAM)
Deploy KVS as infrastructure as code (IaC)
Integrate services such as Redshift, Dynamo Database, and Splunk into Kinesis

no of pages
314
duration
628
key features
Get well versed with the capabilities of Amazon Kinesis * Explore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis services * Learn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis data
approach
Complete with step-by-step explanations of essential concepts and practical examples, you will begin with being able to select the best purpose-built Kinesis managed service and understand the differences and overlap of the services with practical examples of the use case.
audience
This book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.
meta description
Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases
short description
This practical guide takes a hands-on approach to implementation and associated methodologies to have you up and running with all that Amazon Kinesis has to offer. You’ll work with use cases and practical examples to be able to ingest, process, analyze, and stream real-time data in no time.
subtitle
Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
keywords
Amazon Kinesis, data streaming, ETL, ETL pipelines, Kinesis Data Firehose, Kinesis Data Streams, Kinesis Video Streams
Product ISBN
9781800565401