Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

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

Building bike ride analytic applications

Let's put the described SwipeBike and KDA into action. As a first step, we will simulate bike trips; bikes being rented and returned. We have provided code that will do this for you. We will then build analytics applications using KDA SQL and KDA Flink. These applications will functionally be the same and will analyze the data for bike trips.

Setting up a producer application

If you haven't installed prerequisites, please go to the Technical requirements section of this chapter and install the prerequisites. Using AWS Cloud Deployment Toolkit (CDK), we will create the infrastructure required, including deploying the producer application that we will use in this chapter. If you haven't done so already, go ahead and pull down the required CDK code from the GitHub repository:

git clone https://github.com/tmakota/kinesis-book.git

Cost

If you chose to do the exercises in this chapter, please note that you will incur...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

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.

See other products by Makota

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.

See other products by Brian Maguire

Other recommended products

Related to this chapter

Serverless Architectures with AWS

Serverless Architectures with AWS

Serverless Architectures with AWS teaches you how to build serverless applications on AWS—applications that do not require the developer to provision, scale, or manage any servers. Using an event-driven approach and AWS Lambda as the primary service, the book explains the many benefits of serverless architectures. By the end of the book, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS. With this new architecture, you will be able to focus on your product instead of worrying about managing and operating servers to run it.

Dec 2018 7h 32m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Amazon Redshift Cookbook

Amazon Redshift Cookbook

The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion patterns with Amazon Redshift.

Jul 2021 12h 48m

Building Serverless Microservices in Python

Building Serverless Microservices in Python

Here we show how an end-to-end serverless application can be built at scale in a production environment with a few lines of Python configuration. We show you how to set up, configure and create different parts of the stack, including using the AWS Management Console and AWS Serverless Application Model (SAM). We also provide Python code, which can be tweaked for your organization's requirements.

Mar 2019 5h 36m

Building Serverless Microservices in Python

Building Serverless Microservices in Python

Here we show how an end-to-end serverless application can be built at scale in a production environment with a few lines of Python configuration. We show you how to set up, configure and create different parts of the stack, including using the AWS Management Console and AWS Serverless Application Model (SAM). We also provide Python code, which can be tweaked for your organization's requirements.

Mar 2019 5h 36m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m