Data Engineering with Subhadip
This channel is for demonstrating the data processing activities including Data Engineering, ETL, Databases, Web scraping etc.
Real-Time Data Pipelines: Pub/Sub + Dataflow + BigQuery End-to-End Tutorial
Python Async for Data Engineers: Turbocharge Your ETL Pipelines!
BigQuery DEEP DIVE: Slash Your Costs with Advanced Partition Pruning & Dynamic Filters!
Data Engineering in the Age of LLMs: The New Frontier
Top 6 Open Source Tools Revolutionizing Data Engineering in 2024
Real-Time Analytics: From Fraud Detection to Recommendation Engines
The Ultimate Data Engineering Roadmap 2025: From Zero to Senior!
Serverless Data Pipelines: Build Scalable ETL without Servers!
Data Contracts: The Blueprint for Reliable Data Engineering!
Query Optimization Demystified: Boost Your Data Performance!
Unleash Intelligent Data: Vector Databases for Data Engineers!
Data Engineering Meets MLOps: Building Robust ML Systems
Fortify Your Data: Security Best Practices in Data Engineering
Cloud Data Engineering: Slash Your Costs with These Smart Strategies!
IaC for Data Engineering: Terraform, BigQuery, S3 & Pub/Sub
Stream Smarter: Flink & Spark Streaming Joins & State Management Unveiled
Unleash Query Speed: Partitioning & Clustering in Data Warehouses
Mastering Multi-Cloud: Design Robust Data Architectures
Data Quality at Scale: Building Trust in Your Data Pipelines!
Unlocking ML Power: Feature Stores for Data Engineers
Mastering Data Lake Storage: Parquet, ORC, and Avro Explained!
Unlocking Real-Time Data: A Deep Dive into Change Data Capture (CDC)
Airflow vs Prefect vs Dagster: Which Orchestrator Reigns Supreme?
Unraveling Data Pipelines: Lineage & Observability Demystified!
Data Warehouse vs Data Lake vs Lakehouse: The Ultimate Comparison!
Data Governance & Compliance: A Data Engineer's Guide
Mastering Data Ingestion: Batch vs. Streaming & Beyond!
Mastering SQL Performance: Advanced Optimization Techniques You Need!
ETL vs ELT: The Cloud Data Migration Showdown! ☁️
Unleashing Data Power: Building Scalable Data Lakes on AWS S3