SQL window functions are one of the most powerful tools for performing calculations across a defined range of rows while maintaining access to individual row-level details. Unlike aggregate functions that collapse rows into a single value, window functions allow you to perform calculations over a subset of rows (a window) while preserving the original row structure.
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Data processing systems have come a long way, transforming to meet the ever-growing needs of modern businesses. In this blog, we’ll dive into three major systems that have shaped the landscape: OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), and the cutting-edge HTAP (Hybrid Transaction/Analytical Processing).
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If you work with data, SQL functions are your toolkit for unlocking powerful insights. Whether you’re crafting detailed reports or uncovering business-changing analytics, SQL is the backbone for data doers in every industry. This guide explores 27 SQL functions that every data analyst, data engineer, or analytics enthusiast should know. These functions are grouped into five categories for easier understanding and practical use.
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I recently encountered a project that uses HIVE table, coming from microsoft sql , mysql background, I had a little struggle with different sql syntax and behavior, thought I’d write this article on some common SQL to Hive conversions in case you are ever in similar situation.
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In the world of databases, SQL is a foundational language that serves as the backbone for interacting with relational databases. However, when delving deeper into SQL, you will come across terms like ANSI SQL and T-SQL, which may seem confusing at first. In this article, we’ll explore what SQL, ANSI SQL, and T-SQL are, how they differ, and their specific use cases.
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