浅谈数据相关工作中常用的SQL功能

视频内容详细剖析了数据处理与分析中可能遇到的问题，并通过具体案例讲解了SQL的实际应用技巧。视频以三个部分展开： 1. 日常处理数据中可能遇到的问题：从数据缺失、排序异常到时区调整等，涵盖了工作中常见的数据挑战。 2. 如何分析问题：通过案例讲解分析思路，例如如何基于业务逻辑识别关键数据字段，拆解复杂问题。 3. 解决问题所需的SQL功能：包括补全计算、排序问题解决以及时区调整等场景的SQL语法示例。 案例部分非常实用，尤其是案例一讲解如何通过单价和利润计算销售价格，并筛选总销售额超过500k的产品；案例二则通过排名功能帮助用户找到每个品牌销售量排名第二的产品及其总销售额。这些案例既强调了SQL函数的使用，又凸显了在业务场景中的实践价值。 视频适合正在准备数据岗位面试或希望提升SQL技能的求职者，为他们提供了逻辑清晰的分析步骤和解决方案，助力轻松应对真实工作中的数据问题。 The video provides a detailed analysis of common issues encountered in data processing and analysis, with practical examples demonstrating the application of SQL. The content is divided into three sections: 1. Common Data Processing Issues: This section covers typical data challenges such as missing data, sorting anomalies, and time zone adjustments that frequently occur in everyday work. 2. How to Analyze Problems: The video explains how to approach problem analysis, using examples to show how to identify key data fields based on business logic and break down complex issues. 3. SQL Functions for Problem Solving: It covers the SQL syntax used to address issues like data completion, sorting problems, and time zone adjustments, with real-world scenarios. The case studies are highly practical. For example, the first case explains how to calculate sales price based on unit price and profit, and filter products with total sales over 500k. The second case uses ranking functions to help users find the second-highest-selling product for each brand and its total sales. These examples not only highlight the use of SQL functions but also emphasize their practical value in business contexts. This video is ideal for job seekers preparing for data-related roles or those wishing to improve their SQL skills. It provides clear analytical steps and solutions, helping viewers effectively handle real-world data challenges.