Whether you are running an RDBMS, or a Big Data system, it is important to consider your data-partitioning strategy. As the volume of data grows, so it becomes increasingly important to match the way you partition your data to the way it is queried, to allow 'pruning' optimisation. When you have huge imports of data to consider, it can get complicated. Bartosz explains how to get things right; not perfect but wisely.
Rob Farley discusses some solutions and gotchas for implementing a custom sort using ORDER BY in T-SQL queries.
Today we have a guest editorial from Andy Warren that looks at how we might divvy up our workload in a company.
It is worth getting familiar with Apache Spark because it a fast and general engine for large-scale data processing and you can use you existing SQL skills to get going with analysis of the type and volume of semi-structured data that would be awkward for a relational database. With an IDE such as Databricks you can very quickly get hands-on experience with an interesting technology.
Receiving an access denied error message when trying to connect to a remote instance of SSIS from SSMS? Sadequl Hussain provides the solution.
I’ve been doing a deep dive into SQL Server on-disk structures lately, and one...
By DataOnWheels
Thanks to everyone who joined the blog party this month. I noticed three themes...
By Vinay Thakur
This week has training on AI – Cyber security experts – Omar Santos and...
Assignments aren’t just tasks to submit—they’re opportunities to build understanding, discipline, and problem-solving skills....
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When thinking about the identity property and sequence objects, which of these can generate values before an insert statement is executed?
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