Data Lake in AWS - Easiest Way to Learn [2025]

🌟 Data Lake Mastery: Hands-On Glue, Athena, S3, ETL, Spark, Parquet, QuickSight, Kinesis, Lambda, LLM

Hey there, Data Enthusiast! 🚀

Course Instructor: Chandra Lingam 👩‍🏫 Your guide through the vast ocean of AWS Data Lake solutions!

Course Overview:

Dive deep into the world of AWS and master the art of managing and analyzing data at scale with our comprehensive course, "Data Lake in AWS - Easiest Way to Learn [2024]". This isn't just another tech tutorial; it's a hands-on journey that will transform how you approach data lakes.

What You'll Learn:

• Fundamentals of Data Lakes: Understand what a data lake is, its benefits over traditional data warehouses, and when to use one. 📊

• Core AWS Components: Get to grips with the essential tools like Amazon S3 for storage, Athena for querying, ETL for transformation, Spark for processing, and more.

• Handling Data Changes: Learn how to manage schema changes, new fields, partitions, and handle missing data in your data lake, minimizing disruptions. 🛠️

• Schema Evolution with AWS Glue Catalog: Master the art of catalog management and schema evolution using AWS Glue to keep your data lake's metadata consistent and up-to-date.

• Data Formats & Their Uses: Explore different data formats like CSV, Parquet, Avro, ORC, and understand their strengths and weaknesses.

• Glue ETL for Data Transformation: Get hands-on with Glue ETL – a robust solution for transforming your data using Apache Spark.

• Hands-On Exercises: Analyze real-world datasets such as University Rankings, which are easy to understand and riddled with data quality issues.

• Query Optimization with Views: Learn how to simplify complex queries using views, enhancing performance and readability.

• Data Visualization with Amazon QuickSight: Discover actionable insights through powerful visualizations in QuickSight.

• Scalability & Serverless Architecture: Build a serverless application that processes large datasets like the Amazon Customer Reviews dataset (over 130 million records) using Kinesis Firehose, Lambda, Comprehend AI, Glue, Athena, and S3.

Course Highlights:

• Real-World Projects: Work on tangible projects that mirror real-world scenarios, ensuring you can apply your knowledge immediately.

• Expert Guidance: Learn from industry expert Chandra Lingam, whose wealth of knowledge and experience will accelerate your learning curve.

• Cutting-Edge Technologies: Gain hands-on experience with the latest AWS technologies and services, including Athena, ETL, Spark, Parquet, QuickSight, Kinesis, Lambda, and LLM.

Why Enroll?

• Practical Learning: Engage in practical exercises that solidify your understanding and enhance your problem-solving skills.

• Expert-Led Content: Benefit from Chandra's insights, tips, and best practices for managing AWS Data Lakes effectively.

• Community Support: Join a community of learners and professionals, share knowledge, and expand your professional network.

Ready to unlock the full potential of AWS Data Lakes? 🖥️✨ Enroll now and embark on a learning adventure with "Data Lake Mastery" – your next step towards becoming an AWS data guru!

Let's make data work for you. See you in class!

• Chandra Lingam | Compute With Cloud Inc