Jan 2, 2014 · I have a table (let's call it Data) with a set of object IDs, numeric values and dates. I would like to identify the objects whose values had a positive trend over the last X minutes …

Feb 2, 2021 · In this blog post we showed three simple methods to find interesting highlights in your data. Small changes in the query, like using different statistical functions, different …

May 24, 2018 · By leveraging previously computed moving averages for previously downloaded historical price and volume data, this tip aims to expedite your understanding of trend direction …

Jul 23, 2020 · Values ordered by time are called a time series. In this article, I’ll show you the most frequent patterns and teach you how to write queries for time series in SQL with the help …

You can query the default trace to get information about recent growth events. SELECT REVERSE(SUBSTRING(REVERSE(path), CHARINDEX('\', REVERSE(path)), 260)) +'log.trc' …

Feb 12, 2025 · This tutorial will guide you through the process of performing time series analysis in SQL, exploring trends and patterns in your data. In this tutorial, you will learn how to: Extract …

Mar 3, 2024 · In this guide, I’ll walk you through the essential steps and techniques to effectively analyze time series data using SQL. From setting up your database to performing complex …

Jul 19, 2019 · If you want to compare the first and last salaries for the trend, you can use first_value(): (case when first_value(salary) over (partition by empid order by paid_date) < …

Feb 11, 2025 · SQL provides several ways to compute moving averages, ranging from modern window functions to traditional self-joins. This article will explore various SQL techniques to …

Sep 26, 2024 · Time series analysis with SQL provides a powerful way to uncover trends, identify growth opportunities, and forecast future outcomes.