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 Vinay Thakur
As discussed introduction of Always Encryption blog and initial Encryption at rest as TDE...
By Vinay Thakur
Transparent Data Encryption(TDE): TDE was initially introduced in SQL Server 2008 Enterprise Edition; this...
By Steve Jones
Only a little break for me. I’m actually heading to Las Vegas today for ...
Comments posted to this topic are about the item The day-to-day pressures of a...
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When thinking of the Identity property for auto incrementing columns and sequences for the same action, which can be used with the BIGINT data type?
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