Scalable Data Streaming with Amazon Kinesis
by Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti
Overview
Scalable Data Streaming with Amazon Kinesis is your comprehensive guide to building and managing data pipelines using Amazon Kinesis services. With practical examples and step-by-step guidance, you will learn how to design, deploy, and integrate streaming applications that handle data ingestion and processing at scale.
What this Book will help me do
- Gain a practical understanding of data stream architectures using Amazon Kinesis.
- Develop skills to secure and manage Kinesis Data Analytics with IAM.
- Design and deploy Infrastructure as Code (IaC) solutions using Kinesis Video Streams.
- Integrate Kinesis services with other AWS platforms like Redshift and third-party tools such as Splunk.
- Master the monitoring and scaling of Kinesis Data Streams using AWS features like CloudWatch.
Author(s)
None Makota, Brian Maguire, None Gagne, and None Chakrabarti are seasoned experts in cloud technologies and data engineering. Together, they bring a wealth of knowledge in implementing scalable solutions using Amazon Web Services. Their collective experience ensures a practical, hands-on approach to teaching Amazon Kinesis through detailed examples and real-world applications.
Who is it for?
This book is ideal for solutions architects, developers, system administrators, data engineers, and data scientists. If you have experience with AWS cloud architecture and are looking to leverage Amazon Kinesis for data streaming solutions, this book will guide you through the process. It caters to those aiming to deepen their expertise in scalable and secure data processing and real-time analytics.
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