Storage Layer

Integrate Data with AWS Glue you own this product

This project is part of the liveProject series A Storage Layer for Big Data in AWS
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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team

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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.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Gianluigi Mucciolo
Gianluigi Mucciolo specializes in AWS technologies and Agile methodologies. As an AWS Authorized Instructor and Cloud Technical Principal, he is dedicated to advancing cloud professionals' knowledge and participates in community-building initiatives. With a strong background in Artificial Intelligence and Big Data, Gianluigi constantly seeks growth opportunities.

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

you will learn

In this liveProject, you’ll learn how to integrate data from multiple sources into an effective data lake.


  • Create metadata for the data stored in the data lake and populate the catalog
  • Process data to convert JSON and CSV to the Parquet file format
  • Automate the creation of the infrastructure using Infrastructure-as-Code best practices

features

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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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  • Integrate Data with AWS Glue project for free

team

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  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
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  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Integrate Data with AWS Glue project for free