[100% Off] Aws Glue Masterclass Interview Question Practice Test
Master Data Catalog, Crawlers, PySpark & Glue Studio. Build robust data pipelines for S3, Athena, and Redshift.
What you’ll learn
- Master AWS Glue architecture
- including Data Catalog
- Crawlers
- and ETL Jobs for seamless serverless data integration.
- Build and automate robust ETL pipelines to extract
- transform
- and load data from S3 and RDS into data lakes.
- Utilize AWS Glue Studio and PySpark to perform complex data transformations and optimize data processing costs.
- Integrate Glue with Athena
- Redshift
- and Lambda to create comprehensive and scalable cloud analytics solutions.
Requirements
- Basic understanding of Cloud Computing concepts and an active AWS account (Free Tier is sufficient). Familiarity with SQL and basic Python knowledge is helpful but not required.
Description
Unlock the power of Serverless Data Integration on the AWS Cloud.
In the modern world of Big Data, the ability to process, transform, and analyze data efficiently is one of the most sought-after skills in the tech industry. AWS Glue has emerged as the industry standard for serverless Extract, Transform, and Load (ETL) operations, allowing organizations to prepare data for analytics without managing complex infrastructure.
Welcome to the most comprehensive AWS Glue course on Udemy.
Whether you are a Data Engineer, a Solution Architect, or a developer looking to break into the cloud data space, this course is designed to take you from a beginner to an advanced practitioner. We move beyond simple theory and dive straight into hands-on, real-world scenarios.
What you will master in this course:
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AWS Glue Architecture: Deep dive into the Glue Data Catalog, Classifiers, and Connections to centralize your metadata.
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Automation with Crawlers: Learn how to automatically discover schemas and partition data stored in Amazon S3 and RDS.
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Visual & Code-Based ETL: Master AWS Glue Studio for visual job creation and learn how to write custom PySpark scripts for complex transformations.
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Orchestration: robust workflows and triggers to schedule and automate your data pipelines.
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Integration: seamless integration with Amazon Athena for querying and Amazon Redshift for data warehousing.
Why this course? Data Engineering is shifting toward serverless architectures. By mastering AWS Glue, you position yourself at the forefront of this shift, ready to build scalable Data Lakes and perform analytics at the speed of business.
Sign up today, and let’s start building the data pipelines of the future!
