Feb 27 · 18 min read · Welcome readers of data engineering blog, after taking a break on January finally I release the second part of data modeling. Last year, in https://datarunner01.hashnode.dev/data-modeling-fundamentals
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Dec 22, 2025 · 9 min read · Stakeholders are people, organizations, or other entities that have a stake in a business and either influence or are impacted by its performance. It originated from external stakeholders who are indirectly impacted by the company's decisions and act...
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Sep 7, 2025 · 8 min read · In my last post, we talked about the medallion architecture - how to layer your data into Bronze, Silver, and Gold so things are cleaner, faster, and easier to manage. But here’s the catch: you can build the optimal pipelines, a performant Lakehouse,...
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Aug 24, 2025 · 3 min read · In the world of data science and machine learning, we often deal with datasets that have dozens, sometimes even hundreds of features. While it might feel like "the more features, the better," reality often proves otherwise. This challenge is known as...
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Jul 13, 2025 · 5 min read · In the last few blog posts, we explored powerful features built into Snowflake—from Time Travel and Streams to UDFs and Snowpark. We also saw how dbt integrates with Snowflake as a transformation layer. Now it’s time to shift gears and focus on data ...
Join discussionJun 2, 2025 · 3 min read · In the realm of natural language understanding, embedding vectors serve as the crucial link between raw human language and machine-readable insights. Among the various sizes available, the 384-dimensional embedding vector has gained popularity as a b...
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Nov 5, 2024 · 7 min read · In the first article of the series on Medallion architecture in Fabric we looked into the process of load, cleanse and transfer of data from the bronze layer to the Silver layer.In this blog post we would move further and delve into the process of mo...
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Nov 4, 2024 · 4 min read · Dimensional modelling is considered as one of the most recognized and preferred techniques for presenting Analytical Data because it addresses two Main requirements: Delivers data that is understandable to Business people. Delivers faster query per...
Join discussionOct 24, 2024 · 45 min read · Dimensional Data Modeling 정의 Data Warehouse 설계에서 데이터를 구조화하는 중요한 기법 특히 OLAP (Online Analytical Processing) 시스템에서 주로 사용되며, 데이터를 분석하기 용이하게 구성하는 것이 목표 이 Modeling 은 크게 3 가지 구성 요소로 나눌 수 있습니다. Fact Table Dimension Table Summary Table Fact Table ...
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Sep 27, 2024 · 4 min read · Introduction: Understanding the Business Process In an online retail environment like Walmart, there are multiple critical processes involved in fulfilling customer orders. These include capturing customer details, managing product inventories, proce...
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