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SQL Query: 3 Methods for Calculating Cumulative SUM

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SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or

Industrial IoT what GE says to improve Productivity

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GE is once a top company in Heavy Engineering. This is to say items related to Thermal Power plants, Turbines, and maintenance. GE had always believed that since it knew the materials and the physics of its jet engines and medical scanners, no one could best it in understanding those machines. GE Industrial Internet  The aim is it should not share its data to third parties.    GE sets up its own IoT center.    GE is in IoT mood.    GE can improve operational efficiency by studying data from its machines like situated India and Russia. This is just an example.  GE is Targetting for Predictive Maintenace Improves industrial productivity Based on criticality productivity will zoom if maintenance carried in-time.