Tempo de leitura: 1 minuto
Terraform Installation: To provision your Amazon Kinesis stream infrastructure, you’ll need Terraform installed on your machine.
Terraform is an open-source infrastructure as code software tool that enables you to safely and predictably create, change, and improve infrastructure.
If you haven’t installed Terraform yet, you can follow the installation guide provided here.
Don’t worry if you’re new to Terraform – we’ll guide you through the steps specific to this tutorial.
Python Installation: Python will be your go-to language for crafting the data streamer and consumer scripts.
Python is a popular programming language that is often used for data science and machine learning tasks.
If Python is not already installed, you can download it from the official Python website.
AWS Account and CLI: Since we’re diving into Amazon Web Services (AWS), having an AWS account is crucial.
If you don’t have one, you can create an account on the AWS website.
Additionally, you’ll need the AWS Command Line Interface (CLI) installed to interact with AWS services from your terminal. You can find instructions for installing the AWS CLI here.
Boto3 and Botocore: AWS SDK for Python is a library that provides Python developers with access to AWS services. These libraries will be used to interact with AWS services from your Python scripts.
They are typically installed along with the AWS CLI, but you can verify their presence using ‘pip show boto3 botocore’.
Java Installation: Both KPL and KCL are Java-based libraries, and having Java installed is a prerequisite for using these libraries effectively. If you won’t use KPL and KCL, I don’t need to install Java.
You can download and install the latest version of Java from the official Java website or by using package managers available on your operating system.
With these prerequisites in place, you’re well-prepared to embark on our hands-on data streaming journey. Let’s begin the exciting process of building your data streaming solution! 🚀
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