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Scalable Data Streaming with Amazon Kinesis

You're reading from Scalable Data Streaming with Amazon Kinesis Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781800565401

Length 314 pages

Edition 1st Edition

Languages

Python

Tools

Amazon Kinesis

Concepts

Data Analysis

Authors (4):

Rajeev Chakrabarti

Tarik Makota

Brian Maguire

Danny Gagne

View More author details

Table of Contents (13) Chapters

Preface

1. Section 1: Introduction to Data Streaming and Amazon Kinesis

2. Chapter 1: What Are Data Streams? FREE CHAPTER

3. Chapter 2: Messaging and Data Streaming in AWS

4. Chapter 3: The SmartCity Bike-Sharing Service

5. Section 2: Deep Dive into Kinesis

6. Chapter 4: Kinesis Data Streams

7. Chapter 5: Kinesis Firehose

8. Chapter 6: Kinesis Data Analytics

9. Chapter 7: Amazon Kinesis Video Streams

10. Section 3: Integrations

11. Chapter 8: Kinesis Integrations

12. Other Books You May Enjoy

Understanding encryption in KDF

KDF supports both encryption in transit and encryption at rest. KDF has a REST API that supports secure HTTP (that is, HTTPS). For encryption at rest, the method employed depends on the data ingestion mechanism. As explained in the Understanding KDF delivery streams section, there are two ways to ingest data into KDF: Direct PUT and a KDS stream as a source. In addition, KDF has integrations with a number of other AWS services, such as Amazon CloudWatch Logs, Amazon CloudWatch Events, AWS Internet of Things (IoT), or Amazon Simple Notification Service (SNS), which allows those services to send data to KDF.

For Direct PUT using either PutRecord or PutRecordBatch APIs and for other AWS services sending data to KDF, you can enable encryption at rest (or server-side encryption) using an AWS Key Management Service (KMS) customer master key (CMK). The CMK can be either an AWS-owned CMK or a customer-managed CMK. AWS-owned CMKs are not in your account....

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Authors (4)

Makota

Makota

Tarik Makota hails from a small town in Bosnia. He is a Principal Solutions Architect with Amazon WebServices, builder, writer, and the self-proclaimed best fly fisherman at AWS. Never a perfect student, he managed to earn a Master of Science in Software Development and Management from RIT. When he is not “doing the cloud” or writing, Tarik spends most of his time flying fishing to pursue slippery trout. He feeds his addiction by spending summers in Montana. Tarik lives in New Jersey with his family, Mersiha, Hana, and two exceptionally perfect dogs.

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Chakrabarti

Chakrabarti

Rajeev Chakrabarti is a Principal Developer Advocate with the Amazon Kinesis and the Amazon MSK team. He has worked for many years in the Big Data and Data Streaming space. Before joining the Amazon Kinesis team, he was a streaming Specialist Solution Architect helping customers build streaming pipelines. He lives in New Jersey with his family, Shaifalee and Anushka.

See other products by Chakrabarti

Gagne

Gagne

Danny Gagne is a Solutions Architect at Amazon Web Services. He has extensive experience in the design and implementation of large-scale high-performance analysis systems. He lives in New York City.

See other products by Gagne

Brian Maguire

Brian Maguire

Brian Maguire is a Solution Architect at Amazon Web Services, where he is focused on helping customers build solutions in the cloud. He is a technologist, writer, teacher, and student who loves learning. Brian lives in New Hope, Pennsylvania, with his family Lorna, Ciara, Chris, and several cats.

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