Monitor All the Changes
Today Steve Jones looks at the potential downfalls of monitoring every change without lots of filtering.
Today Steve Jones looks at the potential downfalls of monitoring every change without lots of filtering.
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.
By Steve Jones
Annabel retired from Redgate Software this week. Across most of my career at Redgate,...
By Tim Radney
As a SQL Server DBA with years of experience tuning production environments, I’ve seen...
By James Serra
Once again there were a number of Microsoft Build announcements related to data and...
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When running bcp on Linux, what is the field terminator?
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