Little Fluffy PolyClouds: The Data Engineering Playbook
JamesLittle 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.
| Publishes | Daily | Episodes | 4 | Founded | a month ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | CoursesEducation | |||
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Latest Episodes
Lock down your data platform! This is the final domain, Domain 4 (18% of the DEA-C01 exam). We cover essential security best practices: using IAM and Lake Formation for access control, enforcing encryption with KMS (at rest and in transit), and secur... more
Keep your data pipelines running smoothly! This episode covers Domain 3 (22% of the DEA-C01 exam). We dive into setting up alarms with CloudWatch, troubleshooting stuck jobs with Glue Logs, optimizing performance and cost in Redshift, and ensuring da... more
Where should you put your data? We tackle Domain 2 (26% of the DEA-C01 exam) by comparing Redshift, DynamoDB, and RDS. Learn how to design optimal schemas, use the AWS Glue Data Catalog, and implement S3 Lifecycle Policies to manage data lifespan and... more
This is the essential guide to Domain 1: Data Ingestion and Transformation—the biggest section (34%) of the AWS Certified Data Engineer - Associate (DEA-C01) exam! We break down the core components of a successful data pipeline. Learn to compare Batc... more
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 gui... more
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
Focused on the essentials of data engineering, the content covers various aspects of building cloud-agnostic data infrastructures. Key areas of discussion include designing resilient data systems, optimizing pipelines, and utilizing major platforms like AWS, Azure, and GCP. Each episode typically provides practical and actionable insights that guide listeners through complex data management topics, such as security, governance, data quality, and cost optimization within data engineering.
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this podcast launched a month ago and published 4 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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