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Little Fluffy PolyClouds: The Data Engineering Playbook

Little Fluffy PolyClouds: The Data Engineering Playbook

Released: 2025-10-22
© 2025 Little Fluffy PolyClouds: The Data Engineering Playbook
Little Fluffy PolyClouds: The Data Engineering Playbook - QR Code
2 Episodes
Audio
Listen on Apple Podcasts
2 Episodes
Audio
Listen on Apple Podcasts
Released: 2025-10-22
© 2025 Little Fluffy PolyClouds: The Data Engineering Playbook
Most Recent Episode
Episode 1: AWS Ingestion & Transformation Deep Dive (DEA-C01 Study Guide)

Episode 1: AWS Ingestion & Transformation Deep Dive (DEA-C01 Study Guide)

Welcome to Little Fluffy PolyClouds: The Data Engineering Playbook! In our very first episode, we're diving straight into the critical world of Data Ingestion and Transformation specifically within AWS. Join us as we demystify key services like AWS Glue
Time: 12:32
Welcome to Little Fluffy PolyClouds: The Data Engineering Playbook! In our very first episode, we're diving straight into the critical world of Data Ingestion and Transformation specifically within AWS. This episode also serves as a focused study guide for the AWS Certified Data Engineer - Associate (DEA-C01) Exam, covering key concepts you'll need to master.
Join us as we demystify essential services like AWS Glue (Crawlers, Spark/PySpark Jobs, Workflows, DynamicFrames), explore the utility of AWS Data Pipeline and Step Functions, and break down real-time data streaming with Amazon Kinesis (Streams, Firehose, Data Analytics) and Amazon MSK. We'll also cover event-driven strategies using AWS Lambda and S3 event notifications, plus how Lake Formation simplifies data lake ingestion and access control. Get ready to build your foundational AWS data engineering toolkit and ace that exam!
Episode ID: 1000733022723
GUID: Buzzsprout-18057664
Release Date: 22/10/2025, 18:00:00

Description

Little Fluffy PolyClouds: The Data Engineering Playbook is your essential guide to building cloud-agnostic data infrastructure. We provide practical, step-by-step strategies for designing and deploying resilient data systems across all major platforms, including AWS, Azure, and GCP. 

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