Integrate Data with AWS Glue you own this product

prerequisites
Basic understanding of data storage and management concepts • Familiarity with AWS services and console, including AWS Glue • Basic programming knowledge, with an understanding of Python syntax • Familiarity with Hive partitions in AWS Glue • Basic understanding of data transformation techniques and tools • Knowledge of AWS Glue job observability and monitoring tools, such as AWS CloudWatch
skills learned
Transforming raw data into standardized data using AWS Glue • Automating infrastructure using CloudFormation • Populating the AWS Glue catalog and creating Hive partitions • Creating ETL jobs using AWS Glue, including AWS Glue DynamicFrames and Spark DataFrames • Utilizing AWS Glue job observability and monitoring with AWS CloudWatch • Understanding AWS Glue job scaling concepts and configurations
Gianluigi Mucciolo
1 week · 6-8 hours per week · INTERMEDIATE
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Look inside

Media company Nextstellar Corp has completed the migration of their data to the cloud—now they need to analyze it! That’s where you come in. You’ll take on the challenge of processing and integrating file and transactional data into a new cloud database solution that uses modern data architecture. You’ll use the AWS Glue tool to automate the whole process, from creating your crawlers and database to building your repository, Glue jobs, triggers, and establishing monitoring, troubleshooting, and scaling.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Gianluigi Mucciolo

prerequisites

This liveProject is for engineers who want to build a data lake lambda architecture using AWS fully managed services. You will need to know:


TOOLS
  • Basics of the Linux console
  • Basics of AWS
  • Basics of the AWS console
  • Basics of the AWS CLI

TECHNIQUES
  • Basics of infrastructure automation
  • Basics of big data Lambda architecture

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