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cloud Advanced 21 lessons

Cloud Data Lakes

Architect massive storage solutions. Design Data Lakes on S3 and ADLS using Parquet, partitioning strategies, and query engines like Athena.

Data Lakes store vast amounts of structured and unstructured data. This course teaches the architectural patterns for building successful lakes on AWS S3 and Azure Data Lake Storage (ADLS). You will learn about file formats (Parquet, Avro), optimal partitioning strategies to improve query speed, and data lifecycle management. We covers cataloging data with AWS Glue and querying it directly using serverless SQL engines like Athena. Essential for big data engineers.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Data Eng
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Complete Course Syllabus

  • 1
    Data Lake Concepts
    Schema-on-Read vs Schema-on-Write and storage zones.
  • 2
    Storage Design
    Folder structures, partitioning strategies, and formats.
  • 3
    Data Cataloging
    Crawling data to discover schemas automatically.
  • 4
    Querying Data
    Using SQL to query files directly without loading.
  • 5
    Security & Governance
    Encryption, access control lists, and retention.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$120k - $170k

Career Paths

Data Lake Architect $135k-$180k
Big Data Engineer $120k-$165k
Cloud Data Eng $115k-$160k

What You Will Learn

Architect cost-effective data lakes on S3 or ADLS Gen2
Optimize performance using Parquet formats and Partitioning
Catalog metadata using AWS Glue or Azure Purview
Query data in-place using Amazon Athena or Synapse Serverless
Implement security controls and lifecycle policies

Skills You Will Gain

Data Architecture S3 / ADLS Parquet/Avro AWS Glue Athena/Presto

Who Is This For

Data Engineers
Big Data Architects
Data Scientists

Prerequisites

SQL
Cloud Storage Basics

Cloud Data Lakes FAQs

Warehouse vs Lake?

Lakes hold raw/unstructured data; Warehouses are curated.

Delta Lake?

We cover the concepts of ACID on lakes (Lakehouse).

Filesystems?

Object storage (S3) behaves differently than disks.

Cost?

Very cheap storage, pay per query execution.

Need more info?
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Tech Stack & Tools

AWS S3
Azure Storage
AWS Glue
Athena
Python

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