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… Read More ›
SQL Server 2016
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?
DevSpace is an annual developer’s conference that takes place in Huntsville, Alabama. DevSpace offers talks on a variety of languages, offering attendees the ability to improve their skills within their daily technology of choice and the ability to become familiar with new technologies.
The Gulf Coast Code Camp is a free one-day code camp being held at the University of South Alabama, Mobile, Alabama. This will be Mobile’s largest technical event in 2017 and a great networking opportunity. There will be quality talks on Web Development, Cloud Technologies, DevOps, Database, Front end technologies and more. If this interests you, make sure you register and also help spread the word in social media.
There might be scenarios where you might need to manipulate/modify the JSON string. In SQL Server 2016, there is a new function named JSON_MODIFY which will assist you to modify the value of a property in the JSON string and return the modified string.
JSON_QUERY is used to extract an object or array from a JSON string. JSON_VALUE function returns a scalar value whereas JSON_QUERY returns an object or an array from the JSON data.
SQL Server 2016 provides built-in support for storing, managing and parsing JSON data. Sometimes you might need to just extract one scalar value from the JSON data, instead of parsing and returning the entire data. In such cases, you can effectively use a new function in SQL Server 2016 called JSON_VALUE().
SQL Server 2016 provides built-in support for storing, managing and parsing JSON data. Lot of web services and Web APIs are using JSON these days, primarily as their data interchange format. The inability of the older versions of SQL Server to parse, store and process JSON data has been a hindrance. This makes the integration of JSON tinto SQL Server as one of the most popular features of SQL Server 2016.
I am honored and super excited to have been selected to speak at this PASS Summit 2017 – the world’s biggest conference in the Microsoft Data Platform. This will be my first PASS Summit experience. I consider myself very fortunate to have got this opportunity, knowing very well that there are so many experienced and better speakers around.
SQL Saturday Birmingham 2017 was held on 18th March at Samford University. This was my first SQL Saturday as an Organizer. I also presented on Productivity Tips and Tricks in SSMS.
On 14th January, 2017 I attended SQL Saturday Nashville held at Middle Tennessee State University (MTSU), Murfreesboro. I have been to multiple SQL Saturdays before, but this was my first SQL Saturday as a Speaker.
In this article we will evaluate the Performance Impact of searching data in SQL Tables. We will understand how the Query Optimizer processes such queries and things we need to be aware of, from a performance standpoint, by using any toolset.
In this article, we will go through one of the features in SSMS 2016 – ‘Quick Launch’. Quick Launch greatly helps in making the developers productive in the IDE by helping them to search features and options inside SSMS.
Since the initial release of SQL Server 2016 in May 2016, there has been monthly updates to SSMS which includes enhancements, new features and bug fixes. This has been a big step in ensuring that the SSMS IDE is up to date and provides a superlative user experience. But how do you know that a new version of SSMS has been released?
Working as a .NET Developer in the Southern City of Birmingham, I feel the last 6 weeks has been pretty awesome for the Birmingham Technology community. There were 3 excellent full day tech events – starting with Sloss Tech held by TechBirmingham, dotNetConf and then devdataDay held by Steel City SQL Group and BHM .NET Meetup.
In this video session, we will learn about the rich set of capabilities of SQL Server 2016 and the new & improved features relating to Performance, Productivity and Security.
Currently one of the most irritating things in SQL, is to explicitly check if an object exists before dropping it.The DROP IF EXISTS is a simple T-SQL Enhancement in SQL Server 2016, but I am sure it would be one of the most frequently used syntax in a T-SQL developer’s day to day life.
From a security standpoint, sensitive data in the database needs to be protected against unauthorized access. Personal information of an individual like phone number, email, credit card details, bank account number, social security number needs to be stored safely in a database table.
In this article, we will look at a new security feature in SQL Server 2016 called as ‘Dynamic Data Masking’, which will now provide a database driven technique to mask sensitive data.
Historical data are a key source for trend analysis and are considered critical to business success. Traditional databases don’t provide insights into how data has changed over a period of time.As a developer, imagine if SQL Server provides this information out of the box, and there is no need to write any custom code to achieve this functionality. Wouldn’t it be awesome?