What Is Amazon AWS Glue

Описание: Are you gearing up for your AWS Solution Architect or Data Analytics certification? Or perhaps you're trying to figure out how to turn a messy "data swamp" into a clean, usable data lake? ☁️💧

In this deep dive, we break down AWS Glue, Amazon’s fully managed, serverless data integration service. We explain exactly how to use Glue to discover, prepare, and combine data for analytics, machine learning, and application development.

We strip away the complexity and focus on the three core components you need to understand for the exam and real-world architecture: The Data Catalog, Crawlers, and ETL Jobs.

In this video, you’ll learn: ✅ The Core Concept: Why "Serverless" is the most important word to remember about Glue. ✅ The Data Catalog: How to create a persistent metadata store that is Apache Hive compatible. ✅ Crawlers: How to use "automated librarians" to discover schemas and populate your catalog. ✅ ETL Jobs: How to transform data using Apache Spark or Ray without managing infrastructure. ✅ Pricing: Understanding DPUs (Data Processing Units) and cost optimization.

Whether you are a Data Engineer, an Architect, or just starting your cloud journey, this video covers the mechanisms and the "why" behind AWS Glue.

👇 Jump to the section you need: 00:00 - Introduction: The "Data Swamp" Problem 00:50 - What is AWS Glue? (The Serverless Advantage) 01:46 - Component 1: The Data Catalog (Metadata Management) 02:22 - Integration with Athena, Redshift & EMR 02:47 - Component 2: Crawlers (Automated Schema Discovery) 03:42 - Advanced: Handling Apache Hudi & Data Lake Formats 04:10 - Component 3: ETL Jobs (The Transformation Workshop) 04:46 - Glue Studio & Job Bookmarks 05:20 - The Complete Glue Workflow Explained 05:46 - Why Architects Choose Glue (Serverless & Cost) 06:38 - Glue Pricing Explained (DPUs) 07:24 - Rapid Fire Exam Takeaways (Must Know!)

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