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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis

(ebook) (audiobook) (audiobook) Książka w języku 1
Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - okladka książki

Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - okladka książki

Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - audiobook MP3

Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - audiobook CD

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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 that enable you to produce and consume data at scale.
Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then 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. Moving on, you'll 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 Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA).

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O autorach książki

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.
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.
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.
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.

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