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Data Science Series (2 of 3): Data Extraction and Transformation in ETL Projects
Explore how data extraction and transformation are carried out in Data Science projects, understanding the role of the Data Engineer and the ETL process in preparing high-quality data.

Introduction to Data Science: Types of Data and Key Roles in Projects
Explore the fundamentals of data science, including the different types of data and the essential roles in data science projects, such as the Data Scientist and the Data Engineer.

How to Configure Metrics and Alarms in AWS CloudWatch for Serverless Architectures
Learn how to implement metrics and alarms in AWS CloudWatch to monitor Lambda functions and Step Functions, enhancing the observability of your serverless applications.

Step-by-Step Guide: Build a Full Stack Application with AWS Amplify and React
Learn how to build a full-stack application using AWS Amplify and React, integrating authentication with Cognito, API Gateway, and Lambda functions.

Microservices: What They Are, How They Work, and Best Implementation Practices
Learn what microservices are, how they work in practice, and the best practices for designing scalable and efficient architectures.

How to Orchestrate Data Flows in a Hybrid Cloud with AWS Step Functions
Discover how to automate data flows between legacy systems and the cloud using AWS Step Functions and an efficient serverless architecture.
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