In 2023, connect, share & learn with like-minded peers, speakers, and industry leaders during the full week of data celebrations. Summit happens in person, from November 14th to 17th in Seattle. Check out the blog post to learn more.
This is a survey from us at dataplatformwit.com to understand why /how you, as a woman technologist are engaging with community. We ask that women in the data community please fill this out.
Learn how you can connect ChatGPT to VS Code and use it to help you fix your code.
SQL Server Integration Services (SSIS) has been the de facto ETL tool for over 15 years for DBAs, Developers and Business Intelligence Professionals to extract, transform and load data (i.e. ETL tasks) for specific business processes, data-centric applications, data warehousing, reporting and data exchange between organizations. SSIS is a great product with high adoption across the globe, but has some limitations related to modern data sources, performance and streamlining tedious tasks. How can we overcome these limitations and have SSIS provide greater value?
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.
By Steve Jones
If you’ve wanted a SQL Server MCP server for your databases, it’s available. The...
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
Hub Via Wa:62817825533 Alamat: Jl. K.H. Wahid Hasyim No.183 A-B, RT.14/RW.6, Kb. Kacang, Kecamatan...
Hub Via Wa:62817825533 Alamat: Menara BCA, Grand Indonesia, Jl. M.H. Thamrin No.1, RT.1/RW.5, Menteng,...
Hub Via Wa:62817825533 Alamat: Equity Tower, Ground Floor, Unit D & Lantai 8, Unit...
On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
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