As we continue into the era of supporting more and more database platforms in our data estates, self-monitoring goes from being a very difficult task to a truly daunting task. I am personally advanced at diagnosing Microsoft SQL Server performance issues, but when that PostgreSQL server gets added, I just have to hope nothing goes wrong for a few years while I learn.
Today and tomorrow, as I write this, the Green Country Hamfest will be running up in Claremore, OK. Tomorrow morning, I'll be there to check out the tables and maybe pick up some new radio gear. I'll also be volunteering to help run the doors. Largely it involves just checking to be sure people paid […]
The need for performance tuning your SQL Server workloads has never been more critical. As workloads are moved into cloud services, their efficiency has a direct impact on the recurring bills. A workload that consumes more resources than necessary costs more to host in the cloud and affects the bottom line for your organization.
In today's guest editorial: the motivation to do our best must come from within.
Many organizations struggle with democratizing access to data and analytics in the cloud, particularly for self-service purposes. As a result, data and analytics projects often require significant IT involvement, leading to delays, bottlenecks, and inefficiencies. Additionally, data analytics, ELT, and BI tools often require specialized technical expertise, making them inaccessible to a broader range of users. To address these challenges, organizations can adopt cloud-based data and analytics platforms that provide self-service capabilities and support modern cloud data management approaches.
As part of a recent Redgate Summit which focused on data modernization, Grant Fritchey interviewed Pramod Sadalage, a Director at Thoughtworks. They discussed data and DevOps, and the typical challenges organizations come across in their digital transformation efforts. Grant Fritchey shares this Q&A.
An extra column in an information_schema view had Steve digging into standards.
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Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier.
To implement it successfully, there are ten areas which teams should focus on.
Steve has to use software that is broken, but it's OK. It actually works well enough.
By DataOnWheels
The T-SQL Tuesday topic this month comes James Serra. What career risks have you...
This T-SQL Tuesday is hosted by the one and only James Serra – literally...
By Steve Jones
This month we have a new host, James Serra. I’ve been trying to find...
Comments posted to this topic are about the item OPENQUERY Flexibility
Comments posted to this topic are about the item A Full Shutdown
Comments posted to this topic are about the item Going Native with Fabric Spark...
Which of these are valid OPENQUERY() uses?
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