All the excitement and countdown for attending PASS Summit is finally over, and I must say I had a great time attending my first PASS Summit this year. Three cheers to everyone in #SQLFamily who directly/indirectly contributed towards the success of this event. It was a 4 days marathon with events starting as early as […]
The Keynote from Microsoft Team was something which I was looking forward to with an expectation to learn more about Microsoft investment in SQL Server, the latest innovations and see the latest & greatest feature set in SQL Server 2017. There were some nice takeaways for me from this session and I have noted them down in this blog post. If you want to listen to the Keynote, I think it is also available in PASS TV.
As a developer, have you ever written your own customized string splitting function in your code? Do you still have comma separated values stored inside your database columns? If the answer to any of these questions in YES, then you will be happy to know that with SQL Server 2016, we have finally got a built-in function which takes care of this overhead.
With SQL Server 2016 Service Pack 1, a number of Enterprise only features were made available in the Standard and Express editions of SQL Server. Compression/Decompression is available across all editions of SQL Server with 2016 SP1.
Diagnosing performance issues with long running queries is challenging. Generally for troubleshooting a query performance, we look at the execution plan generated by the T-SQL query and then identify the expensive operators. However for a long running query, where we have to stop the T-SQL execution prior to its completion, there is no execution plan generated. Live Query Statistics in SQL Server 2016 comes to our rescue in such scenarios.
There might be scenarios where you might need to alter the masked column after the initial implementation. Wondering if it is possible? Yes it is. You can alter/drop an existing masked column as per your requirement by just writing a simple T-SQL query.
Once you have implemented Dynamic Data Masking across multiple tables in your database to protect your sensitive data, how do you track all the masked columns in one place?