SQL Window Functions Series: LAG() and LEAD()
Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.
2023-12-11
11,519 reads
Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.
2023-12-11
11,519 reads
In this article we present complex built-in data types in Python along with several examples of how to use complex data types.
2022-02-18
This article explains which Python library provides create, read, update, and delete (CRUD) operations on a SharePoint list along with examples.
2021-11-19
This tip demonstrates models for detecting the start of periods of rising or falling financial securities prices based on exponential moving averages. The demonstration is simplified because it relies on a log to keep track of time series values as well as exponential moving averages with different period lengths.
2021-10-15
Learn about the various ways to use the GROUP BY command to summarize and rollup query results. We look at the basics with examples as well as using group by rollup, cube and grouping sets.
2021-10-06
Learn how to plot a financial time series using SQL Server data and Python to reveal the value of exponential moving averages and make decisions about time series values.
2021-09-29
When you’re working with T-SQL, you’ll often see SET NOCOUNT ON at the beginning of stored procedures and triggers. What SET NCOUNT ON does is prevent the “1 row affected” messages from being returned for every operation. Read Brent's blog to see him demo it by writing a stored procedure in the Stack Overflow database.
2021-07-05
This tip will teach you when and how you can use CASE in T-SQL statements with several code examples to give you a better understanding.
2021-05-14
In this article, Brent Ozar explains why you should avoid starting T-SQL comments with two dashes.
2021-04-26
In this article we explore four simple time series forecasting methods using R: the Mean Method, the Naive Method, the Seasonal Naive method and the Simple Moving Average Method.
2021-04-02
By Steve Jones
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I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^d') AND BusinessEntityID IN (7,8)See possible answers