Data and Machine Learning on AWS
Unleash the power of your data with Data Engineering, DataOps, and ML
Data and Machine Learning
Whether you're a beginner looking to understand the basics or an experienced professional seeking advanced knowledge, this collection of Data and Machine Learning resources provides the tools needed to master the intricacies of Data Engineering, DataOps, and ML.
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Data Lake vs Data Warehouse vs Databases: Which Meets Your Storage Needs?
Databases, Data warehouses, and Data Lakes all have different purposes and use-cases, but understanding those differences isn't always easy. Here's a quick guide to help you navigate the sometimes-confusing world of cloud storage.
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Introduction to Artificial Intelligence and Machine Learning
A step-by-step guide to setting up a free ML environment, leveraging language models and ChatGPT APIs to extract insights from YouTube videos, and empowering yourself to learn faster and more efficiently like never before!
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A Three-Minute Summary of What to Consider When Choosing Databases
With different options of databases available at AWS, it is often a hard task to confidently choose one for your projects. If you read the previous sentence and sub-consciously nodded "yes" with your head, you are in the right place.
Tutorials
Build a Real-Time Streaming Analytics Application on Apache Kafka
Ingesting Data into Amazon OpenSearch using Apache Kafka and Go
Empowering SQL Developers with Real-Time Data Analytics and Apache Flink
Videos
Creating an Image Gallery App with React, AWS Amplify, & Amazon CodeWhisperer
Discover the power of CodeWhisperer, your AI coding companion, as we guide you through the process of creating a dynamic Image Gallery app using React and AWS Amplify. Join us in this comprehensive tutorial to master the art of app development with cutting-edge AI assistance.
How to get the most out of Amazon CodeWhisperer
Learn how to maxmize productivity using Amazon CodeWhisperer, AWS' AI coding companion. From crafting concise developer comments to using intuitive names for code elements, Brooke shares expert advice to help you navigate and leverage the power of CodeWhisperer
Explore a Dataset through Data Prep & Exploration (Part 1)
Discover essential steps to tackle the challenge of integrating our recommendation engine models with our full-stack streaming platform by focusing on data preparation and exploration.
Blogs and Concept articles
Scaling your application: Data patterns to enable reliability and flexibility
Auto-Scaling Amazon Kinesis Data Streams Applications on Kubernetes
My Event is More Urgent than Yours: Prioritizing Event Processing with Apache Kafka
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