課程資料
報名日期
全年招生
課程級別
學習模式
修業期
3 小時 15 分鐘
教學語言
英語
授課導師
Niyazi Erdogan
評分
5次瀏覽
課程簡介
Learn how to implement RDS and DynamoDB on AWS using Python API - Boto3! Implement your infrastructure with code!
Do you want to learn how to launch managed Relational Databases or RDS on AWS? Do you want to learn how to take snaphots, restore your DB instances and implement all of those with your Python code without even logging into AWS Console? Or Do you want to learn how to implement NoSQL DynamoDB Tables on AWS?
Then this is the course you need on RDS and DynamoDB on AWS!
In this course, we’ll start by taking a look at the tools and the environment that we need to work with AWS resources. We’ll be using Python 3 and as per the IDE I recommend you to use PyCharm from Jetbrains. It has a free community edition even!
After I teach you how you can set up your environment on both MacOS and Windows, we’ll create our credentials for AWS as being the AWS Access Key and AWS Secret Access Key for programmatic access to AWS resources. You’ll learn how you can set your AWS credentials globally on your computers using AWS CLI. Before jumping into the implementation, for one last tip, I’ll show you how you can have auto-complete capabilities on your PyCharm IDE with PyBoto3!
Once we’re ready with our environment setup, we’ll start implementing our solution on AWS! And remember we’ll do everything with Python code; not a single thing manually or by hand!
We’ll start off with RDS or Relational Database Service from AWS. I’ll teach you how to launch your own Amazon RDS Instances purely with your Python code! Then we’ll learn how to Take a Snapshot or namely backup our complete database instance. After that, I’ll teach you how to restore that snapshot you have created earlier so you can recover your database from failures!
Next up is DynamoDB! With this very-popular NoSQL service from AWS, I’ll teach you how to create your own DynamoDB Tables on AWS with Python! You’ll learn how to provide a key schema, attribute definitions and apply throughput to your tables.
Lots of information, hands-on practice and experience is waiting for you in this course on AWS. So, don't miss any more time and join me in this course to sharpen your skills on AWS using Python and Boto3!
課程章節
- 7 個章節
- 47 堂課
- 第 1 章 Introduction
- 第 2 章 Preparing The Environment for Development
- 第 3 章 Windows Environment Setup
- 第 4 章 MacOS Environment Setup
- 第 5 章 Relational Database Service (RDS) with Boto3
- 第 6 章 DynamoDB with Boto3
- 第 7 章 Wrapping Up
課程內容
- You'll be able to implement any sort of infrastructure on AWS with Python using RDS and DynamoDB!, You'll learn how to code against AWS API using Python and Boto3!, You'll learn how to launch Relational Database Instances (RDS) on AWS using Python and Boto3!, You'll learn how to launch NoSQL DynamoDB Tables on AWS using Python and Boto3!, You'll be confident to work with AWS APIs using Python for any kind of AWS Resource on RDS and DynamoDB!
此課程所涵蓋的技能
評價
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HHimanshu Agrawal
This is exactly what i was looking for. Thanks. Stay Blessed !!
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BBill Vitaniemi
Good basic foundational steps needed for deploying to RDS and DynamoDB. Simple, straight forward, easy to understand use of Boto3. CRUD is not part of this course. I do see Niyazi has another course that covers these operations. Looking forward to also taking it.
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DDavid Weibel
Read the description completely! This course SOLELY discusses how to create and delete the tables (RDS/DynamoDB). It doesn't attempt to discuss any of the CRUD operations on these tables. This is a major disappointment. Making a seperate course for the CRUD operations is just a rip off. They should have been two more sections, one for each type RDS/DDB, in this course.
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VVamshi Indla
I love the way you coded from scratch without copy/paste. I always wanted to do it that way, but couldnt. Now I am confident I can and I will do it. Thank you. I like to see more data manipulation videos and similar tutorial on pyspark and emr.
