Additional Articles


Technical Article

What is Azure SQL Data Warehouse?

Azure SQL Data Warehouse is a cloud-based, scale-out database capable of processing massive volumes of data, both relational and non-relational. Built on our massively parallel processing (MPP) architecture, SQL Data Warehouse can handle your enterprise workload.

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2016-11-28

249 reads

External Article

Why Would I Ever Need to Partition My Big ‘Raw’ Data?

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.

2016-11-22

3,345 reads

External Article

How to Start Big Data with Apache Spark

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.

2016-11-18

3,131 reads

External Article

More Power BI to your Elbow

Power BI Desktop continues to evolve. There have been many improvements to the reporting side that together make it easier to get from the data to the visualisation as quickly as possible. You can now create line charts that let users drill down into hierarchical data. There are now ways of adding dynamic reference lines to a visualization that provide users with relevant reference points. Robert Sheldon demonstrates how to combine these features to great effect.

2016-11-16

3,166 reads

Technical Article

Top 6 MySQL DBA Mistakes

To err is human, or so the saying goes. Unfortunately, in the world of IT, innocuous mistakes made early on can lead to really daunting problems down the road. In this article, Rob Gravelle goes over a few of the most common DBA mistakes to avoid. Some of these relate specifically to MySQL, while others may be applicable to any RDBMS.

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2016-11-14

4,315 reads

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How Can SQL Server Detect Application Errors When Developers Can’t?

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Getting Database MaiL Profiles

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Question of the Day

Getting Database MaiL Profiles

If I want to return information about all Database Mail profiles on my instance from T-SQL, how can I do this?

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