Technical Blog
Deep dives into data engineering, cloud architecture, AI/ML, and the technologies that power modern data platforms.
Comprehensive guide to Docker and Kubernetes for data engineers. Understand container vs VM architecture, Docker daemon, images, registries, Dockerfile best practices, and Kubernetes orchestration for scalable data pipeline deployments.
PoC for sending alerts and notifications to slack channel using python
Interesting scenario while working on the UPSERT Logic and Star Schema - ETL Batch Load?
Proof of Concept to demo the encryption and decryption of AWS S3 files using AWS KMS
The email template gives us an idea about the error before moving to the cloud watch logs and reduces our time in searching error log stream.
data types, data platforms that stores, manages, process and deliver.
Learn Python context managers for bulletproof resource handling in data pipelines. Master the with statement, __enter__/__exit__ protocols, contextlib decorators, and patterns for database connections, file I/O, and subprocess management.
Deep dive into Python coroutines for building efficient data processing pipelines. Learn generator-based coroutines, the send method, coroutine decorators, and patterns for streaming data transformations.
Master Python decorators for building reusable, maintainable data pipelines. Learn closures, higher-order functions, functools.wraps, and practical patterns for input validation and logging in production code.
Deep dive into Python descriptors for creating managed attributes and data models. Learn __get__, __set__, __delete__ protocols, property decorators, and patterns for validation, type checking, and read-only attributes in production code.
Master Python Abstract Base Classes (ABC) for building robust data engineering frameworks. Learn class methods, static methods, abstract method decorators, and inheritance patterns for scalable pipeline architectures.
Comprehensive SQL vs NoSQL comparison for data architects. Deep dive into ACID transactions, CAP theorem, BASE model, OLTP vs OLAP, key-value stores, document databases, and decision cheatsheet for AWS, Azure, and GCP database selection.
Tips to learn a new technology quickly and deeply. Easy way to achieve it. Avoid skimming
Complete guide to SQL Server architecture for data engineers. Learn relational and storage engines, buffer manager, query optimizer, execution plans, ACID properties, and NoSQL comparison for building efficient data pipelines.
Essential PostgreSQL SQL reference for data engineers. Covers SELECT, JOINs, aggregations, window functions (LAG, LEAD, RANK), CTEs, JSONB queries, date operations, and performance optimization with practical examples.
