Category: Editorial

  • Quitting Over Training

    I saw a tweet awhile back from Alex Yates that said this: “If your employer won’t provide training because they are afraid you’ll become more employable and get a job somewhere else… it’s time to quit. Immediately.”

    That’s a strong statement, but one that I tend to lean towards rather than away from. I’ll disagree slightly because I don’t think that I should recommend anyone leave their job right now. You are all adults, and you should be able to decide when it’s time to leave, or what your particular circumstances dictate. Many of us have bills to pay, and we may not have a partner that works. Sometimes we have to just deal with a poor situation for some period of time.

    I will agree with Alex that if your employer doesn’t believe in you, then that’s a problem. I’ll argue that if you don’t believe in yourself and make strides to improve your skills as well, that’s a problem as well. I’ve usually tried to invest in myself, through both time and money, and I expect my employer to do the same. Often showing some of my own initiative helps convince them that they should match, or exceed, my own investment. After all, they should get lots of the immediate benefits from any learning.

    I’ve worked for companies that didn’t like to fund any training. In those cases, I usually make plans to move on to another employer. I’ve had companies that limited training to something that I might get every 2-3 years. That’s not the worst situation, but you will have to decide how important this is for you. I try to work with companies, understanding that spending $5k in training for every employee + time out of the office may not be feasible. At the same time, spending $0 doesn’t seem reasonable. At least, it’s not reasonable if there isn’t a lot of internal training and opportunity to experiment and learn new skills.

    I say this often when I speak, but I’ll repeat it here. Your career is in your hands. An employer ought to assist you, and many do, but it’s up to you to request training, apply yourself to learn more, invest in yourself, and ultimately take advantage of opportunity. Build a plan, define measurables, and be ready to prove that you can apply some of the training in the months after you complete it.

    A week at a class or conference isn’t a vacation, and if you treat it as such, I can understand why a company might be reluctant to make an effort to train you again. Time is a valuable commodity for all of us, and we shouldn’t be wasting it when we’re trying to grow our career. Focus, learn something, and share with others. You might be surprised as the benefits that come from this, including additional investment in you by your current employer.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 3.4MB) podcast or subscribe to the feed at iTunes and Libsyn.

  • Big Data Analytics

    How large is your analytics system? Do you have more than one machine for analytics? Do you have a cluster of machines that run Hadoop in a YARN cluster to analyze your data? Are there hundreds, or even thousands, of nodes that are being used regularly? Some of you might have what you consider to be a large system, but I bet it isn’t as large as Microsoft’s cluster.

    They think they have the biggest YARN cluster, with over 50,000 nodes in a single cluster. This is used to process multiple exabytes of data from their various properties and systems. I certainly haven’t heard of a system this large, and I really wonder what this costs to run. After all, I’d think a 50,000 node cluster has to be a significant cost, though perhaps in the grand scheme of Microsoft’s $100 billion in revenue and $38 billion in expenses, even 100,000 machines can’t really impact their numbers.

    The cluster has essentially been running a private version of Azure Data Lake for years that their internal developers and analysts use to access a common pool of data. In fact, because of their scale needs and the desire to limit the copying of data between clusters, they have contributed back to the Apache Yarn project a number of fixes to help ensure the software can scale to tens of thousands of nodes. There is some discussion of how they’ve allowed YARN to grow to larger scales, and it’s an interesting solution that essentially allows some overbooking of resources, knowing there are always some spare cycles available for processing data. It’s a great test site for Azure Data Lake, and something that more of us might use in the future.

    I doubt may of us would need to work on data sets that large, and I know I certainly wouldn’t want to be responsible for that much of a data lake, I do think these are interesting problem domains that someone should look at. Certainly there are always large organizations and governments that have ever growing pools of data that will likely end up in a data lake of some sort. And who knows, perhaps, the definition of large will continue to grow to the point where 1,000 nodes in a cluster is considered “small”, and it’s what many of our businesses might implement in the future.

    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.

  • Horrible Bosses

    Horrible Bosses is a movie that makes me laugh. I’ve seen it a few times, and I’d likely watch it again if I stumbled on it during a flight or while flipping channels. I’ve had some bad bosses, even one I’d consider a horrible boss. I’ve worked in poor conditions for IT, though considering what some people go through, it wasn’t that bad. I”ve been stressed, overworked, and abused by employers. Again, relatively. These are really #firstworldproblems, and not so much problems as annoyances. I’ve really had an easy life compared to many people, though it hasn’t always been stress-free.

    The one thing that I’ve tried to do throughout my career is be a professional. Do the job I’m paid to do, and accept the good and bad. If I don’t enjoy it, or don’t agree with the demands, then I can leave and find another job. I’ve had to do that a few times, often because of the people that make the job a bad one. Fortunately I have a great boss now, which makes my work much more enjoyable.

    I’ve also tried to build software that I feel comfortable with from a moral standpoint. I’ve never been asked to work on anything illegal, and I hope I never am. I’d also hope that I would refuse to do so. I think it’s hard to put yourself in a tough situation, as you can never know all the variables. Imagine that you’re in debt, you need your salary to pay for medical care for your family and it’s a recession. You might feel trapped in a position, worried about not only losing your job, but also your livelihood and potentially putting someone’s life at risk. Making moral stands in tough situations is hard, and I hope I never have to do so.

    My best advice for my kids, and for others out there, is that you want to actively manage your career. I’ve told my son the best time to find the job you want is when you have a job, not when you are out of work and need a job. If you’ve got a horrible boss, start making steps to find a better one. It can take time, potentially months or years, so make a plan and start down the path of finding a dream job that you look forward to every day.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 3.1MB) podcast or subscribe to the feed at iTunes and Libsyn.