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What can we discover about a place by exploring the histories of those who once lived there–and those who live there still ? In what ways do cultures build upon each other as populations come and go? How do they complement each other, interact, and leave their marks on the people that come after them? And are cultures truly ever lost, even if the people move on or evolve and adapt? Lost Cultures: Living Legacies—the award-winning podcast from Travel + Leisure—returns for Season 2. This season, we’re diving into the stories of vibrant communities around the globe, including the Kānaka Maoli of Hawai‘i, the Sámi of Norway, the Baghdadi Jewish community of India, and more!
Content provided by Voice of the DBA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Voice of the DBA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Content provided by Voice of the DBA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Voice of the DBA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Many of us are faced with choices and decisions constantly in our jobs. How do we approach a problem? What should we do as a team to get the work done? How do we code or manage or test or do something else with a database? Maybe more importantly, how long do we spend deciding? I have seen teams spend way too long (in my opinion) debating options and examining possibilities. I’ve seen them take days or weeks arguing and considering edge cases and move slowly. It seems there is no shortage of reasons why something isn’t done. It can drive me a little crazy. I was listening to a podcast recently and heard about this technique, which I love. Get a whiteboard that everyone can see (physical or virtual). One person is designated to write down all the discussion items about the issue. Each person can make an argument for or against an idea for the solution, and nobody can stop that argument from being added. However, nobody can remove anybody else’s argument, and nobody can repeat an argument that is on the board. This can shorten discussions because people can’t repeat things. I’ve seen far too many debates (arguments) continue in a circle because people keep repeating things or circling back. When no one has anything new, we just take a vote and move on. I am a big fan of getting things done. Even if we don’t have the best, or optimum, or more efficient solution, we need to get moving. Perfect is the enemy of good enough, and far too often, I find technical people chasing perfection, or near perfection, at the expense of moving forward. Timebox decisions and get moving. It’s how you accomplish more, and it’s what your employer wants. Steve Jones Listen to the podcast at Libsyn, Spotify , or iTunes . Note, podcasts are only available for a limited time online.…
At an event recently, I had a chat with someone after one of my sessions. I had been speaking on DevOps and ways to better structure your team and build software. After the session, one person asked me if I’d read The Mythical Man Month and if I felt we’d gotten a lot better at building software since that book was published. I do think we have gotten better, way better, in fact. I caught another review of the book a while back from the Pragmatic Engineer. That review looked at what’s changed in 50 years since the first edition, as well as contrasting the world today. You have to subscribe to read that one, but I’ll give you a few thoughts from me on the book itself and the review. Perhaps the most famous part of the book is the notion that adding more people to a late project makes it later. That doesn’t always happen in other fields, where people can tackle separate tasks and get things done. Certainly feeding hay to horses goes quicker with more people. However, in software, things don’t work that way. Perhaps this can work better today if we use microservices and separate architectural sections, but for any single piece of software, this often holds true. Even for microservices I’m not sure it’s true because developers take time to get productive. And yet, people still try to add more staff to projects in the hope they’ll complete the application sooner. Another great quote from the book is that programmers (developers today) can build castles in the sky. We can use our imagination to create, polish, and re-work in a way that isn’t easy in the real world. That, along with the joy, complexity, and opportunity to learn, are why people program. The Pragmatic Engineer’s view notes that there are other reasons, such as so much of the world uses software that people want to be a part of that, and the career is lucrative. I agree with that for sure. Working with code is a good job in many ways. The book notes several challenges to building large systems, such as precise coding, lack of control, dependencies, debugging, and obsolescence from delays. Of these, some are true, but we have tools, like SQL Prompt, that help us avoid poor typing of code (and CI for checking). We also have moved to a much faster pace of delivering parts of a system and evolving them, so we are often targeting just what our customers need, at an apparent faster pace. I’d also say that being able to deliver something quickly is important, as customers are quick to move on if you cannot. One interesting part of the book that isn’t quite so relevant is the discussion about why projects are late. While I don’t know we estimate better, we certainly are better at getting smaller pieces of work done, which might hide some of the delays for larger features. We have so many more ways to track work and ensure we aren’t forgetting what we have planned. There are also many more good managers today that empower their people. These are also the things in DevOps that have vastly improved how we build software. Onboarding is a major issue in the book, as finding staff who knew tools/techniques/whatever was hard back then. There just weren’t many people. Today, we struggle to onboard some people, but I’d like to think that it’s not the same as in the past. However, I certainly think database techies in many cases haven’t kept up or learned a lot of core software dev practices, such as version control, CI, and lots of things we bundle into DevOps. At the same time, I think we’ve burdened many people with full-stack development when they don’t have a good understanding of core technologies, like databases and networking. I still think onboarding people quickly is a major advantage for any company that needs to build software and compete with others in their industry. In the book, Brooks talks about the 10x engineer, a hotly debated topic in the modern software world. Are some people much more productive? I do think so, though if they are 10x as skilled as many others, I’d argue the others aren’t earning their salaries. If you’ve never read the Mythical Man Month , pick up a copy. It’s worth your time as a developer or a DBA. Steve Jones Listen to the podcast at Libsyn, Spotify , or iTunes . Note, podcasts are only available for a limited time online.…
I’ve been reading an intere sting book that looks at some of the ways that we can better build software in enterprises. One of the side notes in the book is that the tech companies have the funding and the ability to disrupt many other types of businesses, not just technology. Google, Amazon, Microsoft, and others have delved into other types of industries, potentially pushing others out. We see Amazon becoming as much a shipping and logistics company as they are a retailer. There was a unionization vote, which passed in 2022. Recently, another one failed. Amazon continues to fight these efforts, trying to prevent workers from collectively negotiating the terms of their employment. I’ve wondered in the past if tech workers would ever unionize. In general, we are paid well and have lots of options for work. There has often been no shortage of opportunities for talented workers, though this year is proving tough for our industry. There are lots of people out of work and struggling to find new jobs. While I’m sure some would prefer a union that might better protect them from layoffs, many tech workers are against the idea. There is a growing number of tech workers looking to unionize. Inside Google, there is a union for some workers , but not all. That’s unusual, as often all workers in a category are part of a union at a company. To gain employment, you need to join the union. I don’t know if I’d want to join a union. I’ve had lots of success and haven’t seen the need, but I do know that I’ve also seen lots of other tech workers pressured and pushed to work long hours, to skip vacations, and other practices that are good for the employer, but not so good for the employee. I’ve seen many people not know how to negotiate with employers, and perhaps a union would benefit most people. Would you want to be part of a data professionals’ union? It might give some security and more benefits for many, though not quite as much pay as you might otherwise receive. Maybe more than you get now, as it depends on where you sit in the salary scale at your company. Let me know what you think about unions today. Steve Jones Listen to the podcast at Libsyn, Spotify , or iTunes . Note, podcasts are only available for a limited time online.…
At a recent event, I had a student ask about how to get started as a data professional. What types of things should they do? What platform should they work on or learn? Where should they focus time? What tools are available? Those are all good questions and many of you likely have your own advice. I’ll give a few things to think about today, which are good for anyone that might want to get into the data field. I think this is still one of the better technical careers. I’ve suggested this to my kids, though only one of them went into a technical area. One is a therapist for autistic children and one helps run the ranch while pursuing a graduate degree in literature. If I were to give someone advice on how to get started in a tech field, I’d likely start with these items: first, download the free SQL Server developer or Express editions. Most of us run Windows and this is a good place to start. Get SSMS, and learn to connect to your server. If you have struggles, ask a question in our forums . From there, I’d suggest working through a book on SQ L. Or look at our Stairway series on T-SQL ( basic , beyond basics , advanced ). Learn to work with data and query it. Learn to download and get datasets into a database, as well as how to query, update, and analyze the data. Those are key skills. If you want to manage systems, try setting up an Availability Group, ensure you have backups and can restore systems, and maybe explore replication and CDC. If you want to develop applications, then start building something. Ask a GenAI for help, but produce a working system that lets you analyze some data. Pick sports data, or music data, or something else, and produce an application or report that conducts an analysis of the data. Work with something that’s interesting to you. While you’re doing this, blog. Write about what you learn. Build a growing resume that showcases your skills. Chat with others online, build a network of people, and always have an up-to-date resume that you can send out to find a job. Your resume/CV and your blog are invaluable. That’s my advice. Anything else you suggest? Steve Jones Listen to the podcast at Libsyn, Spotify , or iTunes . Note, podcasts are only available for a limited time online.…
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