Thomas Henson

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Speaking Skills For Data Engineers

July 15, 2019 by Thomas Henson Leave a Comment

How Important Is Public Speaking For Data Engineers?

Brand new question on Big Data Big Questions is around public speaking in Data Engineering. I’ve often heard that public speaking is the universal number 1 fear for most people. So many people choose to avoid it for various reasons. While no where will you see public speaking called out in Data Engineering descriptions, I believe it’s a skill that worth investing in. Find out my thoughts on Speaking Skills for Data Engineers in the video below.

Transcript – Speaking Skills For Data Engineers

Hi folks! Thomas Henson here with thomashenson.com. Today is another episode of Big Data Big Questions. Today’s question comes in from a user. If you have a question, find me on Twitter or put it in the comment section here below. Send me an email. There’s a ton of different ways to get in touch and have your question answered on the next episode of Big Data Big Questions.

Today’s comes in from Bobby, and it says, “Can you let me know which career path is better between data scientist or data engineers, which we’ve talked about, but this one is for a person suffering with anxiety or difficulty giving presentations?” So, thank you for your question, Bobby, and I totally understand where you’re coming from as far as having challenges that you’re trying to deal with. Trying to pick out a career path, like, we want to play to things that we’re going to be successful at and things that we’re going to be able to excel in. You’re looking for that career path. I’ll say just right off the bat, a couple things stuck out to me about it. I’m going to get to those as we talk about why I think presentations and stepping outside your comfort level are some options for you. Let’s answer your question first, before we dive into Thomas’s thoughts on some of that.

Depending on which was you want to go, it’s not going to matter. It’s going to be more about if you’re more technical as far as wanting to be code, and hands-on, and building out clusters. Maybe starting to play with Kubernetes, Linux, those types of systems. Then, being on the data engineer side, it’s going to be a good way to go, or if you’re more math-based and want to get into the specifics of, hey, some of these features or some of these pieces of data may be able to give us better insight into what we’re trying to solve, then the data science path is going to be there. Don’t let your anxiety or your difficulty giving presentations say that, “I must go data engineer,” or must go data science, because I think they’re both equal to give you the opportunity to not have to present and not have to have as much interaction as you would maybe in a different role where it’s more customer-facing and job-driven.

My thought process about how much you’re going to have to deal with in that situation is, I’ve worked with people who never had to present. When we were in that role, that just wasn’t their thing. They may be at the meetings. They’ll be at the meetings, but they’re not the point person. Maybe get a one-off question or something like that, but most of that’s in the confines of their team. You’re still going to have team interaction, but there’s still a ton of downtime where it’s like, “Hey, headphones on,” just banging out your own code, or doing your deployments, and stuff like that. There’s not a ton of interaction there. You may have some user interaction that you’re working through, depending on where you are in the stage of your project, but for the most part, I don’t think even outside of the questions here, most of your customer interactions, a lot of times, maybe not so much on the data science side, but it’s going to be nothing like you would think from a web development perspective or front end developer. Still engaging with the users, but more on the team atmosphere. Feel free to choose any of those paths to be able to deal with your anxiety and difficulty giving those presentations. I think you’ll be totally fine, and I think you can get away with never having to give a presentation, if that’s in your vote.

But, I think you should. I think you should try to work towards conquering those difficulties and those presentations, and I’m not saying that you start off going out, and being like, “You know what? I’m going to try to go to a conference and give a keynote.” I’m going to try to go to a conference and give a breakout session. That’s not what I’m saying. I think you should start a little bit smaller, and just on your team, and then if you find a new feature or new software tool, or just a new process that you like doing, present that to your team. I know it’s tough, and I know it’s hard, because they even did a study a while back about the number one fear most people said that they fear public speaking more than they fear death.

Let me say that again. They feared death less than they feared public speaking. Most people would rather die than do public speaking. Definitely it’s something that I’ve been working on for quite a few years, and I’ll be honest, I get nervous each time. I get nervous, start talking to people. I’m like, “Oh, I’m about to go on.” It doesn’t matter. It doesn’t matter to the fact that, maybe I’ve given a certain presentation 25 times.

Heck, every time I turn the camera on, and there’s nobody in this room, here, on Big Data Big Questions, I still get nervous, too. There’s going to be some amount of nervousness, and I understand that, there’s varying levels, too. I’m not looking over and saying that, “Hey, you know, everybody, you know, everybody can be able to do that.” I do think that you can work towards it, and so maybe everybody’s not going to be able to do it on the same is maybe what I mean to say. I think it’s something you should try to, because presenting is going to open up doors for your career. It’s going to make you feel good, too. Each time I talked about how nervous I was, I just spoke in front of over 1,000 people for the first time in my life. That was huge, but I didn’t start out that way all in one day. I’ll tell you, I was super nervous, and it was just for a short amount of time, but I was nervous the whole time leading up to it, and then afterwards, after you get it, it’s like, yes! You get that amazing feeling that you’ve done something. I don’t know if you’re into sports or something like that, but you feel like you’ve won. Even though, who knows, it’s the first time speaking to that many people. I’ll probably hopefully have that opportunity again, and I’ll be better at it next time. It probably wasn’t my best time, if you’re looking at it.

It’s something that you start to work towards. It’ll be interesting, how much networking, and how many doors are open by doing that, and it’s all about giving back to the community as well. To recap, I don’t think that you have to choose data science or choose data engineer to be able to not have to present and do some of the other things. However, I think most people, and if you’re watching this channel, and you’re really curious about career development, I do think that everybody should have some kind of presentation skills, and this is something they should practice towards, and I totally understand. There’s a lot of anxiety whenever you’re doing something like that. If it’s something that you can work towards, and you can conquer, then I think it’s going to be something that’s going to be amazing. One, for the community, because we need more voices. And then two, it’s going to be something that you’re going to be proud of, and you’re going to be able to work on, and it’s just another challenge, too.

That’s all I have today for Big Data Big Questions. Make sure that you hit the subscribe and ring that bell, so you never miss another episode of [Whispers] Big Data Big Questions.

Filed Under: Career Tagged With: career, Data Engineers

Non-Technical Careers in Big Data

January 13, 2018 by Thomas Henson Leave a Comment

Non-Technical Careers in Big Data

Big Data Career Without Coding?

Do all career options in Big Data demand skills with coding or administration? Big Data projects are in high demand right now, but skill sets for these projects come from different backgrounds. If you are wanting to get involved with Big Data, but don’t have a technical background watch the video to learn your options.

Options discussed in Non-Technical Careers in Big Data:

  1. Data Governance
    1. How Timely is the data?
    2. What is the source of all this data? Garbage in Garbage out
    3. Explain one of my first jobs in IT
  2. Project Management
    1. Agile Development
    2. Scrum Master
    3. DevOps
  3. Compliance & Security
    1. Huge Data Lakes need securing
    2. Huge potential with GDPR General Data Protection Requirements -Plug Alan Gates Interview
    3. How many different breaches do we hear about on daily basis

Video – Non-Technical Careers in Big Data

Transcript

Hi, folks! Thomas Henson here with thomashenson.com. Today is another episode of Big Data Big Questions. Welcome back to the new year. Our first thing that we’re going to tackle today in our first episode of Big Data Big Questions for 2018 is going to be non-technical jobs or career options inside of big data.

It’s submitted in from one of our YouTube users. You can find out more right after this.

Today’s question comes in from YouTube. Remember, if you have any questions around big data or anything that you want to ask and you want me to answer, you can submit those in our YouTube comments below on any of the videos, or you can go to my website at thomashenson.com/bigdataquestions. You can submit any questions there, and I’ll answer them as best I can on air, and give you my advice on the Hadoop community, or big data, or data engineers, or any questions that you have.

Today’s question comes in from YouTube, and it’s from Shahzad Khan. He says, “I work as a change manager, and I don’t know anything about Java or Hadoop, but I want to learn this technology. Is it all right for me to learn, since I’m not into coding? Also, I’ve never been involved in a development team, please suggest.”

Great question. Thanks for the comments and thanks for watching. Continue to watch. My first thing when I look at this is, we’ve talked about the ability, and I’ve had a couple other videos that you’ve seen where we’ve talked about, that you don’t have to know Java to be involved in Hadoop. If you have any questions around that, you can check into that. Really, I think this question, I want to frame it a little bit different, and think about, just because you want to be involved in big data, and you want to be involved in the community and all the things that are happening, you don’t necessarily have to have a technical role to be involved in that.

There’s three roles that I want to talk about that are non-technical from the aspect of coding and Hadoop administration that you can do to still be involved in data or even big data. I’m going to put them together. These aren’t just specifically for big data. This can be around data analytics.

The first one is around data governance. When we talk about data governance, we talk about, what’s the flow of data? Where did the data originate? Everybody’s probably heard of the adage or the example of garbage in, garbage out. Where’s your data coming from? Can you trust, and can you automate, and trust the data that’s coming in? Data governance is about where that data comes from, but it’s also about, how timely is that data? You’re really involved with the sourcing of the data. You’re also looking at things around… I remember one of my first career options. I remember sitting around, and we have a couple different applications, and the heads of each application were together, and we were all there to talk about the different ways that we name things in our own databases. If you think about it, we were trying to merge everything into an enterprise data warehouse. This is a little more old school, but it still happens in big data, when we have these different data sources.

You might have an instance where data from one data set is named or has a different key than data in a separate data set, but you want to be able to merge those. Data governance is around, you can help find and help be a part of that, where the data’s coming from, so that’s one option. I would look into data governance if you still wanted to be involved in big data but didn’t have the technical skills or didn’t have desire to have the technical skills.

Another one is project management. We always need good project managers. Project managers, they’re the ones, the workhorses that really help bring the developers, bring the data scientists, bring the front-end developers, bring everybody together, and really gets that project going. Makes sure that we’re communicating. If you’re interested in project management, you can do that from a non-technical perspective. One of the things, though. I’ve got some stuff on my website where I went through and did the scrum master training. Think of agile development. Just like you would in traditional application development, big data needs agile developers or agile project managers as well.

Then, also look at the scrum master training, but also look at DevOps, and see where that is, if there’s any DevOps certifications, or anything that you can provide in that background to be able to help and manage these teams. Project management is a second one, and then the big one, the next one, compliance and security. We always need compliance and we always need security, especially now with the maturity of the Hadoop community and how much Hadoop is taking over and being used in the enterprise. There’s always compliance around it. You think of HIPAA, you think of some of the SEC compliance here in America. Then, you can also think of GDPR. GDPR, General Data Protection Requirements compliance, I would look at that regulation.

That’s something that’s really interesting to me, and if I was somebody non-technical, and I was interested in compliance or security, that is one area I would start to look at, because I think there’s going to be a growing need. Anytime there’s any kind of regulation, and this is a political statement in any way, but anytime there’s any kind of regulation or change in regulation, there’s a lot of things that go on behind the scenes as far as interpreting that and making sure that you’re in compliance with your enterprise, or if you’re working for some kind of public institution, you want to make sure you’re doing that. Anytime something like that, if you can become an expert and move to that, that would be huge as well.

For securing the data, too. It’s an ongoing, probably overused joke. How many data breaches have you heard about? There’s one every day. Big data is not, we’re not, immune to that. In fact, we’re larger, a larger target. Think about the three Vs.

Volume. How much data do we have in your Data Lake? Big data has big data, right? You need to be able to secure that. Those are the three areas I would look at for non-technical jobs if you still want to be involved in data. Data governance, project management, and compliance and security. That’s all for today. Thanks for tuning in. Make sure you subscribe, so you never miss an episode. I will see you again on Big Data Big Questions.

Filed Under: Career Tagged With: Big Data, Big Data Big Questions, career

Why I am Creating more Content in 2015

February 2, 2015 by Thomas Henson Leave a Comment

I’ve started every year with the promise to blog more.

Each year I’ve failed!

So why is 2015 different?

Why have I increased my total blog in the past month?

It’s simple I want to accomplish certain things in my career and blogging can help me get there. So what exactly are my career goals:

  • To be known as an EXPERT

  • To SHARE my knowledge with others

  • To become an AUTHOR

  • To give a KEYNOTE a major conference

Photo by KROMKRATHOG at http://www.freedigitalphotos.net/
Photo by KROMKRATHOG at http://www.freedigitalphotos.net/

Who are you to say blogging more will help

Look at the first piece of advice Scott Hanselman gives in this get involved in tech course. It’s to start a blog. Scott Hanselman is a known author, speaker, and expert. He’s a known expert by software developers and routinely gives Keynotes at major conferences. So if he says I should start I blog it’s probably a good advice.

Around Christmas I got the flu and had a lot of time on my hands. Sitting around for a couple of days I was able to finish Soft Skills by John Sonmez.  Now John Sonmez is also a known software development expert, speaker, and author. One of the things John stresses in this book is to start a blog. In fact, John Sonmez attributes a lot of his success to starting a blog. Okay now that is two experts, authors, and speakers with the same advice. There must be something to starting a blog.

How to make it succesful

Having a blog is important but how can I make it successful?

How can I create content that will help the community?

I already had a blog but I wanted to make it successful. Creating a blog was one thing but making it successful was something else.

After a week of recovery I found a new email course on how to start a blog by John Sonmez. I was skeptical at first because I already had a blog. What I was looking for is how to make a successful blog.  I signed up for the course and started receiving the emails over a 3 week period.

The course was great it outlined the strategy for creating great content and where to focus your energy. Now I’m not going to spoil the course for you but I will tell what hit home for me was the consistency part. All the times I wasn’t consistent was the reason for my unread blog. Sure my content, style, and ability to connect with readers matters too, but you cannot get better at those unless you are writing the blog post week after week.

So that is why I have been able to blog more already in 2015 that other years past. I realized at of things that matter most its my consistency that will help me achieve my goals.

Experts are consistent

Authors are consistent

Keynote Speakers are consistent

I am consistent

 

Filed Under: Career Tagged With: 2015, career, Motivation

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