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Scalable Data Streaming with Amazon Kinesis

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Scalable Data Streaming with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - okładka książki

Scalable Data Streaming with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - okładka książki

Scalable Data Streaming with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - okładka audiobooka MP3

Scalable Data Streaming with Amazon Kinesis Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti - okładka audiobooks CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
314
Dostępne formaty:
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     ePub
     Mobi

Ebook

149,00 zł

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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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0 Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti

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