Scalable Data Streaming with Amazon Kinesis: Design and secure highly available,cost-effective data streaming applications with Amazon Kinesis
by: Tarik Makota ,Brian Maguire ,Danny Gagne ,Rajeev Chakrabarti
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
Publisher finelybook 出版社: Packt Publishing (March 31,2021)
Language 语言: English
Print Length 页数: 314 pages
ISBN-10: 1800565402
ISBN-13: 9781800565401
Book Description
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 to enable you to produce and consume data at scale.
This book begins with a quick overview of the core concepts of data streams along with the essentials of the AWS Kinesis landscape. You’ll 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. You’ll then 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 Firehose (KFH),Kinesis Video Streams (KVS),and Kinesis Data Analytics (KDA).
What you will learn
Get to grips with data streams,decoupled design,and real-time stream processing
Understand the properties of Kinesis Data Firehose that differentiate it from other Kinesis services
Monitor and scale KDS using CloudWatch metrics
Secure Kinesis Data Analytics with identity and access management (IAM)
Deploy Kinesis Video Streams as infrastructure as code (IaC)
Integrate services such as Redshift,Dynamo Database,and Splunk into Kinesis
