Master Class On Spark Architecture Deep Dive
About this Masterclass
No Up-Sale, It is pure learning session & No Fluff Content
Topic to be covered
- Nodes, Clusters & Deployment Architecture
- Spark Cluster Architecture - Overview
- Spark Cluster Modes
- Spark Memory Architecture
- DAG Architecture & Execution Engine
- Catalyst Optimizer
- Tungsten Execution Engine
- Fault Tolerance & Recovery
- Advantages of Spark Architecture
- Case Study - Architecture Review of 5 TB E-Commerce Log Processing
What You'll Learn
4-Hours Spark Architecture Deep Dive Masterclass. Master the Spark Architecture and learn following key concepts during master class.
- Spark Overall Architecture.
- Spark Memory Architecture.
- Performance Optimization.
- Real-time case study discussion.
Total Sessions - (1)
Session Agenda:
4-Hours Spark Architecture Deep Dive Masterclass. Master the Spark Architecture and learn following key concepts during master class.
- Spark Overall Architecture
- Spark Memory Architecture
- Performance Optimization
- Real-time case study discussion
- Interview Questions & Answers
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This masterclass includes:
- Expert instructor support
- Live interactive sessions
- Certificates & Recognition
Speaker Details
Rahul Neekhra
Country: India
Industry: Data Science & Analytics
Experience: 18 years
About: I’m a Data & AI Solutions Architect with 17+ years of experience building scalable data platforms, analytics systems, and business intelligence solutions. My work focuses on turning complex business problems into practical, data-driven outcomes using modern technologies like Python, SQL, cloud data platforms, and AI tools. Beyond consulting, I’m passionate about bridging the gap between learning and real-world skills. I’m …
View Full Profile →Reviews (26)
Vilasagaram Saishiva
The way Rahul delivered the session was amazing
June 25, 2026
Anil Vainala
very informative, precise content very much helpful for understanding performance tuning, very much helpfull from interview prospect
June 17, 2026
Venkata Amarnath
June 14, 2026
Prashant Mahapatra
No communication regarding class timings. Emailed. No response. Got response after class. Pls accommodate in next class
June 13, 2026
Sachin Gorade
Very Good experience with Rahul as mentor. He explained concepts in very well and detailed manner. Thanks Rahul for giving such an informative session.
June 13, 2026
Kundan Kumar
June 13, 2026
Seshadri sastry
good informative session for pyspark architecture
June 13, 2026
Magesh s
June 13, 2026
Surya teja
June 10, 2026
Tusharkumar Veer
The Experience was too good. It helps to undrstand the Spark Architecture in detail deep. I am very thankful to practyc team. I learn a lot in detilas and cleared the concept like DAG architechture fault tolerance and recovery as well as spark memory architecture.
June 9, 2026
Srinivas Rao
June 7, 2026
Kapil dhadse
good
June 7, 2026
Jilan shaik
4 hours session gives more Spark knowledge and highly recommend
June 7, 2026
DILIP MISHRA
Session was highly informative. Instructor explained each and every topic very well.
June 7, 2026
Abhishek Chaukiyal Chaukiyal
This Spark Architecture Masterclass was extremely informative and well-structured. The concepts were explained clearly with practical examples, making complex topics like DAG execution, Catalyst Optimizer, and Memory Architecture easy to understand. The real-world case study added great value and connected theory to industry use cases. Highly recommended for anyone looking to strengthen their Spark fundamentals and architecture knowledge.
June 7, 2026
Velavan P
This Apache Spark Architecture Session is very useful as it contains deep detailed aspects of spark big data processing in easy manner.
June 7, 2026
Mithilesh gangde
Great session, it was deep dive on Spark architecture which cleared most of the doubts.Thanks
June 6, 2026
Raj me
The spark master class was highly informative and well-structured, making complex concepts easy to understand. The instructor was engaging and practical insights provided were valuable for real world application
June 6, 2026
Malik konduri
Got overview of the Pyspark and how it works actually Thanks
June 6, 2026
PRAMOD PAWAR
Excellent session
June 6, 2026