Voice of the DBA

Category: Editorial

  • Short Names

    I started using computers a long time ago, and in the PC world, we were often limited to an 8 character name and a 3 character extension. Unix and MacOS allowed longer names, and many of us in DOS and Windows were jealous. Eventually Windows evolved, allowing long names, spaces, and really quite a bit of latitude in what you want to name a file. For example, try this and see what happens on your SQL Server:

    BACKUP DATABASE Sandbox TO DISK = 'Sandbox.thisisafullbackupthatIusetostartarestore'

    However, the three character extension still dominates, and many applications still use this. Microsoft has started to get away from this, as we have .docx, .xlsx, etc. Other vendors and software systems have started to expand names slightly. I was reading about the SQL Server Diagnostics Preview and noticed that the engineers will take a dump file (.dmp) as well as a mini dump (.mdmp) and a filtered dump (.hdmp).

    Now I know developers are lazy, and they don’t like to type, but in these days of auto-completion and other tools, why are we limiting ourselves. Why wouldn’t we use .minidump or .filtereddump as descriptive way of identifying the file? If we are no longer bound, why not include a better extension? I can’t imagine that the filesystem for many tools would be stressed by longer names.

    I’m assuming that people still feel bound to using the shortest set of letters that they think are unique, but with the growth of software applications from many, many sources, why not just be more descriptive? Would you want to see better filenames? I know I would.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 2.7MB) podcast or subscribe to the feed at iTunes and Libsyn.

  • Cool Projects

    This editorial was originally published on Aug 23, 2013. It is being re-published as Steve is on vacation.

    I had a conversation recently with a developer that was working on a rather neat problem. This had to do with a financial system and it involved some complex calculations and real time interactions with a variety of systems. It was important for their company, and a lot of pressure was on this developer to not only deliver this software quickly, but also to have it perform at a very high level. This particular person was using Red Gate’s ANTS Performance Profiler to dig into their code, feeling pressure to make it as efficient as possible.

    However this developer was also enjoying the work. It was a challenge, and it was a cool project.

    I know this community is made up of people working in all sorts of industries, in a variety of roles. We develop many different kinds of software. Some may be for employers, some may be for ourselves, some may be for a side business, but  across that spectrum of work, there are some interesting applications.

    What cool things are you working on?

    It might not be software. Perhaps you’re working on an interesting data application, like a super collider. Maybe you work on some gaming software or a large hardware system. Perhaps you deal with a system that makes people’s lives better, easier, or even possible. I’m sure more than a few of you work on some real time systems, which have all kinds of data challenges.

    Let us know this week what type of interesting work you’re doing.

    Steve Jones

     

  • Learning Data Modeling

    Last week I wrote about database design tests in interviews. Many of you noted that you hadn’t been asked to perform any design in tests, and plenty of you noticed that ER diagrams are a rarity. Those experiences match mine and are a little disappointing for our industry. Even for software developers, many of whom don’t build databases, I’d expect that ER diagrams to be helpful and plentiful. Our clients are often developers and report writing businesspeople. Why don’t they demand better documentation?
    If they were to ask for us to produce ER diagrams and documentation, I’d hope most of you could produce one, even using SSMS or some other tool. However, can you design the storage for your business requirements in a way that you would feel comfortable presenting to your peers? Do you think you can build a database that efficiently stores data, performs well, and is easy for application developers to work with? If so, I have a question.
    What resources would you recommend for others to learn about data modeling?
    We have a dearth of database design articles on SQLServerCentral, though we do have a Stairway Series on Database Design. I don’t know how easy it is for most developers, or even database architects, to read and understand. I realize that modeling and designing databases can be complex topics, and it does take some effort to learn to do it well, but I also believe that we need practical, easy to approach articles that lead people through the concepts.
    I’d love to see more articles from real world people that discuss designing sections of databases. How do you handle scheduling systems? Inventory tracking? Customer details? If anyone wants to write articles that might lead a reader along (such as Paul White or Brandie Tarvin did), we’d love to have them submitted at SQLServerCentral.
    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 3.2MB) podcast or subscribe to the feed at iTunes and Libsyn.

  • The March of AI

    Machine learning and AI systems are becoming more and more popular all the time. The constant onslaught of media articles and hype is pressuring more and more companies to experiment with AI systems. Whether these techniques work or not, no manager wants to be the one that has ignored the trend. A failed machine learning venture might be preferable to the lack of any project in the eyes of many in upper management.

    Our vendors press as well, after all, sales are on the line. I wasn’t sure how useful the R language would be inside SQL Server, but I am amazed at the effort and popularity of R among SQL Server professionals. R, and possibly Python soon, are becoming integrated into every product and tool from Microsoft, as well as other vendors. Every month I see more and more people experimenting and learning how to use R for a wider variety of tasks, from analyzing disk space and database performance to extrapolating business measures.

    Most of us aren’t skilled enough in math and statistics to really develop and build intelligent systems. We don’t have the background, or we haven’t worked in those areas for a long time. However, many of us can learn to work with ML and AI systems, managing the models, integrating the code others write into our applications. I do think there is value in learning a bit about these technologies, though I don’t think you need to become an expert. Some of you might want to be experts, and I wish you the best of luck on your journey.

    I do believe that AI will change the world. It’s going to become a larger and larger part of many systems and processes throughout the world. These intelligent systems will press and push humans in ways that we don’t expect and that we might not like. For us data professionals, we will be at the heart of many of these changes, with opportunities to grow our careers we might never had considered.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 3.0MB) podcast or subscribe to the feed at iTunes and Libsyn.