This 28-video video, advanced training by SPOTO trainer Trevor Sullivan teaches you how to efficiently manage Amazon databases using the automation capabilities AWS provides.
This is the new AWS training.
Many products have bells and whistles that users don’t understand. These bells and whistles are often left unused until someone provides the training necessary to show how powerful the tool or product really is. AWS databases can be just like that. Many companies use them, but not all of them are using them to their full potential.
This Database Automation in AWS with Python training teaches administrators how to automate all of the work required to keep their databases running. This training will make your databases more powerful and require less work.
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Start trainingThe seven-part series covers topics like automating the most time-consuming tasks in database administration, maintaining data safety with regularly scheduled backups, saving time and money through automating hardware provisioning.
You can watch a video from the series here:
This series includes the following skills:
Install Amazon Relational Database Service (RDS), Python and Boto3
Amazon DynamoDB Management with Python and Boto3
With Python, you can query data in Amazon DynamoDB tables with Python
Amazon DocumentDB Management with Python and Boto3
Boto3 and Python: Managing Amazon Timestream Databases
Use Python and Boto3 to deploy and manage Amazon Neptune Graph Databases
Automate Scaling with AWS Aurora Severless and Python with Boto3
This training covers the following topics:
Configure Python Development Tools to Amazon Timestream
Create an Amazon DynamoDB Global Table using Python
With Python, you can write custom data into Amazon Timestream
Python Boto3 allows you to enable Amazon DynamoDB streams
Add Items to Amazon DynamoDB Table using Python
This training includes:
2 hours of training
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