Doing DE job as DS
As a Machine Learning Engineer I've seen how data pipelines become crucial for effective ML systems (even more than the models itself). So instead of refusing this job, I suggest to embrace it. In a d...
The Future of Data Engineering: Leveraging Cloud Technology for Scalable Solutions
In today’s data-driven world, organizations handle massive volumes of data daily. Efficiently managing, processing, and analyzing this data is critical for gaining actionable insights and making inf...
Azure For Data Engineering
It provides a comprehensive ecosystem for data engineering, enabling organizations to build, manage, and optimize large-scale data pipelines efficiently. It offers various services tailored to data in...
How fault-tolerance works in Flink
Apache Flink is a distributed stream processing framework that provides fault tolerance through a mechanism called "checkpointing".I've shared information about checkpoint shortly on following post.
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Star Schema: The Data Warehouse Hack So Simple, Experts Hate It
Let’s cut through the jargon: a star schema is the easiest, most badass way to build a data warehouse. Picture a fact table—say, sales—sitting in the center like a king, surrounded by dimension ...
Calculate Monthly Account Balance and Fill in Missing Dates — From SQL to SPL #10
Problem description & analysis:
There is a transaction table for the asset accounts in the MS SQL database, with dates that are not consecutive.Task: Now we need to calculate the balance ...
🚀 SQL Query Optimization in 2025: 7 Techniques for Faster Performance
Struggling with slow SQL queries? Your database might be working harder than it needs to. Let's fix that! Here are 7 proven techniques to make your SQL queries faster and more efficient. ⚡
🔹 1. A...
From DWH to Data Mesh: How Data Architectures Evolved to Meet Business Demands
🚀 Data storage has transformed drastically over the years—going from traditional Data Warehouses (DWH) to flexible Data Lakes and now to decentralized Data Mesh.💡 Which architecture fits your ...
Pandas Mindmap: A Visual Guide to DataFrame Manipulation
Pandas is an essential library for data manipulation and analysis in Python.
This mindmap provides a structured visual approach to quickly grasp Pandas' core functionalities.
Why a Pandas Mind...
Real-Time Data Processing with PyFlink and Redpanda
Just leveled up my #DataEngineering skills by building real-time data pipelines with PyFlink and Redpanda! 🚀 Discovered how session windows can reveal hidden patterns in NYC taxi data that batch pr...