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You're reading from  Data Engineering with AWS - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781804614426
Edition2nd Edition
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Author (1)
Gareth Eagar
Gareth Eagar
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Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
Read more about Gareth Eagar

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Hands-on – ingesting streaming data

Earlier in this chapter, we looked at two options for ingesting streaming data into AWS, namely Amazon Kinesis and Amazon MSK. AWS provides an open-source solution for streaming sample data to Amazon Kinesis; therefore, in this section, we will use the Amazon Kinesis service to ingest streaming data. To generate streaming data, we will use the AWS open-source Amazon Kinesis Data Generator (KDG).

In this section, we will perform the following tasks:

  1. Configure Amazon Kinesis Data Firehose to ingest streaming data, and write the data out to Amazon S3.
  2. Configure Amazon KDG to create mock streaming data.

To get started, let’s configure a new Kinesis Data Firehose instance to ingest streaming data and write it out to our Amazon S3 data lake.

Configuring Kinesis Data Firehose for streaming delivery to Amazon S3

Kinesis Data Firehose is designed to enable you to easily ingest data from streaming sources...

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Data Engineering with AWS - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426

Author (1)

author image
Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
Read more about Gareth Eagar