Let's talk about the elephant in the room right up front. Yes, I'm old. I remember when Buck Woody was a little tyke on the day the last of the Tyranosaurs died (I'm older than Buck). So, I'm not asking if I'm old. Yes. I'm old. No, I'm asking if that massive meteor strike over […]
2024-10-19
279 reads
2024-10-18
116 reads
Join over 170 global data experts offering more than 150 sessions designed for all skill levels. Explore the schedule to plan your days on-site, secure your ticket, and book your travel before prices increase.
2024-09-27
Have you ever surfed the internet and felt overwhelmed by personalized advertisements that appear to know your every desire? Have you ever been amazed at how accurate some weather forecasts can be? These actions are based on data processing. EsProc SPL and SQL (note, SPL stands for Structured Processing Language and SQL stands for Structured Query Language). SQL is a major language widely encountered and used for data manipulation within relational databases. While EsProc SPL is another effective tool for data processing, especially suited for complex computations and in-memory operations, it is less commonly encountered.
2024-09-23
In this article, we walk through how to set up a simple Excel interface to work with SQL Server data to insert, update, delete, and select data.
2024-09-20
2024-09-18
447 reads
Introduction In Level 1 of this series, I discussed Synapse Analytics basics and the steps for creation of the Synapse Workspace. In Level 2, data analysis was done on Data Lake files using Serverless SQL Pool. In Level 3, I will analyze data from the files uploaded in Data Lake container using a Spark Pool. I will […]
2025-06-06 (first published: 2024-09-18)
936 reads
In this article, I will cover a bit about the LIKE operator, including how it works, and a bit of history about why it is like it is. After establishing this, I will discuss a bit about how you can (and should) use the LIKE operator in your CHECK constraints to strengthen your data integrity.
2024-09-13
2024-09-02
403 reads
I'm a little excited because tomorrow I'm going to my first maker's faire. I'll be volunteering with our local radio club (100 year old, W5IAS, oldest radio club in Oklahoma). In addition, I'll be showing off a few controller chips & Raspberry Pis that I use with my radios for APRS, satellite tracking, and digital […]
2024-08-24
65 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
Comments posted to this topic are about the item Even When You Know What...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers