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Data science powers decision-making across modern businesses, from data preparation and automation to advanced analytics and machine learning. Learning it requires a strong foundation in mathematics, statistics, programming, and practical problem-solving. The good news is that data science can be self-learned with the right resources and consistent practice. Books remain one of the most effective […]
Today, I’ll tell you about our ETL migration from AWS Glue to the Snowflake and dbt modern data stack. My team’s mission is to centralize and ensure data reliability from multiple business domains. We build an analytical foundation to support product and strategic teams’ decision-making. As part of this effort, we migrated 28 gold models
In 2022, Charlie Marsh released ruff, a powerful Python linter widely adopted by the Python community for its speed. He founded a company called Astral, recruited some people, and now released uv, an extremely fast and all-in-one Python package manager.
Thanks pyenv + poetry, but I’ll use uv for Python virtualenvs now! Read More »
TL;DR Data engineering services have evolved into a critical pillar of enterprise strategy. They empower businesses to manage massive datasets, optimize decisions, and uncover hidden insights. In 2025, companies that leverage big data engineering services are achieving faster innovation, stronger operational efficiency, and a data-driven edge over their competitors. Introduction The world runs on data
How Data Engineering Services Are Reshaping Global Business Strategies Read More »
