Preventing Invalid Data Early In An ETL Flow
In this post, Tim Smith will look at some of the considerations for both data rules and logic to prevent invalid data early in the ETRL process.
Auto-Deleting Data
Steve likes that idea of auto deleting data, especially with legislation increasing.
Random Word Generation for Data Scrubbing
With HIPAA and GDPR requiring your careful scrubbing of data for lower environments, random word generation promises to be a huge helper. Read here how to do it.
Introduction to Azure SQL Managed Instance
Microsoft currently offers two built-in methods of running production SQL Server databases in Azure. The first relies on the ability of Infrastructure-as-a-Service (IaaS) Azure virtual machines to host a variety of on-premises workloads, including SQL Server instances. The second one leverages Platform-as-a-Service (PaaS)-based Azure SQL Database. With the introduction of the Azure SQL Managed Instance service, you have a third option, which combines the benefits of its two predecessors.
Self SQL Injection
Based on a real fact, this article demonstrates how a bad use of sp_executesql can lead to unpleasant surprises
Taking Shortcuts
We don't mean to introduce security issues, but sometimes we do because we give in to pressure.
Execution Plans and Data Protection
One of the most important tools for query tuning is ability to view execution plans. They are even portable; you can send an execution plan to get advice from someone who doesn't have access to the underlying data. Have you even considered that sensitive information might travel along with the plans? Hugo Kornelis explains how execution plans affect data protection.
The CDO
Does your company have a Chief Data Officer? Steve Jones doesn't think you need one to use data wisely.
SQL Server Closure Tables
SQL Server has a couple of different ways to represent hierarchies, but they do not allow storing any additional information that is important to the relationship between objects. In this article, Phil Factor explains how to use closure tables to overcome this deficiency.
Blogs
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
A Cloud Dependency Failure from Amazon
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I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
Forums
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Untuk menutup kartu kredit Bank UOB, Anda dapat menghubungi UOBCall melalui WhatsApp (62 088220114008):...
Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
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