Data Lake and Reference Data Management

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prerequisites
Understanding of data lakes and their architecture • Familiarity with AWS Glue and S3 for data management • Knowledge of data cataloging and data organization
skills learned
Setting up AWS Glue Streams for real-time data ingestion • Automating infrastructure creation and release pipelines with IaC templates • Transforming and storing real-time data in Amazon S3 using Apache PySpark • Configuring and managing AWS Glue Data Catalog for metadata management • Utilizing AWS Athena for querying and exploring data stored in the Data Lake
Gianluigi Mucciolo
1 week · 6-8 hours per week · INTERMEDIATE
Included with a Manning Online subscription
catalog / Data Science / Big Data / Distributed Data Processing
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Look inside

In this liveProject, you'll transform raw streaming data into a powerful, integrated data lake using cutting-edge tools like Apache Spark Structured Streaming, AWS Glue, and Amazon Athena. You'll develop a robust system that can process streaming information, update existing datasets, and enable lightning-fast analytics that give your company a competitive edge in the fast-moving multimedia market.

This project uses Amazon Web Services, which should cost less than 3 USD for the whole project, including cleanup.

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

project author

Gianluigi Mucciolo
Gianluigi Mucciolo is a highly skilled computer engineer who 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. A team player, he excels in both collaborative and independent work settings. In his free time, Gianluigi enjoys intellectual discussions, reading, and connecting with nature for inspiration.

prerequisites

This liveProject is for engineers who want to build a Data Lake Lambda architecture with AWS Fully Managed Services. To begin this liveProject, you will need to know the following:


TOOLS
  • Basics of Amazon Web Services
TECHNIQUES
  • Basics of Infrastructure Automation
  • Basics of Lambda Architecture

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  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Data Lake and Reference Data Management project for free