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You're reading from  Scalable Data Streaming with Amazon Kinesis

Product typeBook
Published inMar 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800565401
Edition1st Edition
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Authors (4):
Tarik Makota
Tarik Makota
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Tarik 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.
Read more about Tarik Makota

Brian Maguire
Brian Maguire
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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.
Read more about Brian Maguire

Danny Gagne
Danny Gagne
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Danny 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.
Read more about Danny Gagne

Rajeev Chakrabarti
Rajeev Chakrabarti
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Rajeev 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.
Read more about Rajeev Chakrabarti

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Summary

In this chapter, we learned about the different ways that Kinesis services can work with other AWS services and non-AWS services. We built a few integrations ourselves, which exemplified how easy it is to compose solutions using various services that work with Kinesis.

In addition to what we showed you in this chapter, there are several different ways that Kinesis services can be used. With additional features being added by AWS on an almost daily basis, the only limitation is our creativity. We discussed a two-way door approach for you to adopt as you advance through your AWS cloud journey. AWS services are like LEGO blocks that we can quickly put together, and if we make a mistake, we can quickly take them apart to try again. Embrace two-way doors over analysis paralysis.

We are looking forward to you creating new solutions and letting us know about the unique ways you solved your business problems using Kinesis and AWS Cloud.

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You have been reading a chapter from
Scalable Data Streaming with Amazon Kinesis
Published in: Mar 2021Publisher: PacktISBN-13: 9781800565401

Authors (4)

author image
Tarik 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.
Read more about Tarik Makota

author image
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.
Read more about Brian Maguire

author image
Danny 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.
Read more about Danny Gagne

author image
Rajeev 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.
Read more about Rajeev Chakrabarti