Welcome to Session 29 of the April Batch - Data Engineering Course 🚀
In this session, we cover two of the most important GCP services used in modern Data Engineering projects — BigQuery and Managed Apache Spark.
🔹 What you will learn:
📌 BigQuery
- What is BigQuery?
- Why BigQuery is widely used
- Serverless Data Warehouse concepts
- Query execution & performance basics
- Real-world use cases
📌 Managed Apache Spark
- What is Managed Spark?
- Difference between traditional Spark and managed services
- Scalability and performance benefits
- Real-world Spark processing concepts
📌 Interview-Focused Learning
- Important GCP interview questions
- BigQuery architecture basics
- Spark interview concepts
- Real project discussions
🎯 This session is highly important for:
- Data Engineering Interviews
- GCP beginners
- Cloud & Big Data professionals
🚀 Upcoming Sessions:
- Pub/Sub
- Cloud Composer
- Dataproc
- Real-time Data Pipelines
- End-to-End GCP Projects
👉 Subscribe for complete Data Engineering roadmap and interview preparation.
#BigQuery #ApacheSpark #GCP #GoogleCloud #DataEngineering #BigData #InterviewPreparation
