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.
By Brian Kelley
On Patch Tuesday, in addition to OS and Office security patches, Microsoft also released...
When mirroring was first released for Azure SQL Database, it used Change Data Capture...
By Steve Jones
One of the things I’ve tried hard to do in database development situations if...
We have two "identical" instances of an ASP.NET web service (or so I have...
Comments posted to this topic are about the item OPENQUERY Flexibility
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Which of these are valid OPENQUERY() uses?
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