Advanced Data Engineering & Pipeline Architecture

Designed explicitly for forward-thinking Data Engineers, this comprehensive course teaches you how to master the transition from traditional, sluggish data repositories to a modern, lightning-fast Data Lakehouse architecture. You will get hands-on experience orchestrating real-time streaming and batch ingestion pipelines , refining data tiers using the robust Medallion framework (Bronze, Silver, Gold) , and leveraging advanced file formats like Apache Hudi and Parquet with Snappy compression to ensure absolute system performance.

Instructor-Led

20 hours

4 modules

Recommended Course Audience

Data Engineers

Pre-Required Skills

Experience: 2+ years of experience in Data Engineering, Database Administration (DBA), or Cloud Architecture.
Core Technical Skills: Proficient with SQL; foundational familiarity with Python or Scala; basic understanding of distributed computing concepts.
Systems Exposure: Prior experience with ETL/ELT concepts, cloud storage (e.g., AWS S3, Azure Blob), and relational databases.

Course Highlights

4 modules

Core Concepts: Mastering batch and streaming data capture mechanics. Understanding structural boundaries between legacy databases and modern ingestion layers.

Core Concepts: Storage optimization, data landing zones, and moving from raw, unstructured dumps to organized repositories.

Core Concepts: Enterprise data persistence, ACID-compliant lakehouse transactions, and building scalable feature tables.

Core Concepts: High-volume data transformation, parallel compute clustering, and downstream data movement.

Advanced Data Engineering & Pipeline Architecture

$699.00

This course is coming soon. Enrollment is not yet open.

For any support or technical enquiries, please reach out to info@solixacademy.com

Level : Intermediate

Modules : 4

Duration : 20 hours