Time-Series Data Analysis with Apache Druid
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,703 reads
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,703 reads
Get ready to be blown away! The highly anticipated Microsoft Build in May 2023 has finally unveiled its latest and greatest creation: the incredible Microsoft Fabric - an unparalleled Data Intelligence platform that is guaranteed to revolutionize the tech world! fig 1: OneLake for all Data One of the most exciting things in Fabric I […]
2023-07-26
5,380 reads
A data lake is a scalable data storage repository that can ingest large amounts of raw data and make it available on-demand. Robert Sheldon explains the benefits and challenges of data lakes.
2022-02-04
NoSQL databases, such as MongoDB, are an increasingly important component of enterprise data strategy, handling high-volume, scalable, and agile data management. As organizations adopt emerging NoSQL solutions, there is high demand to integrate these data sources with existing infrastructure and familiar tools. Standards-based data access facilitates your expansion into MongoDB by leveraging existing skills using […]
2021-11-29
533 reads
Why has Microsoft added new capabilities in SQL Server to connect to other types of data sources? Read on to learn more.
2021-05-14 (first published: 2019-09-09)
10,653 reads
By Steve Jones
I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...
By Hemantgiri
I use color-coded connections in SSMS to distinguish Production, Pre-Production, UAT, and Development. But...
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I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:
CustomerID CustomerName PreferredName 1 Steve Steve 2 Andy Andy 3 Brian Brian 4 Allan Allan 5 Devin Devin 6 Steve Steve 7 Sally SallyI want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT
CustomerID,
CustomerName,
PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName); See possible answers