Épisodes

  • Will AI replace my job?
    Dec 7 2022

    About Between 2 Bits

    Between 2 Bits is a podcast about tech, data, and the people who work with those things on a daily basis. In each episode, our hosts discuss a wide range of hot topics that all organizations face, and show you some cool things you can do with data along the way.

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    31 min
  • Can you really trust your data?
    Aug 30 2022

    About Between 2 Bits

    Between 2 Bits is a podcast about tech, data, and the people who work with those things on a daily basis. In each episode, our hosts discuss a wide range of hot topics that all organizations face, and show you some cool things you can do with data along the way.

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    34 min
  • Keeping data safe when working from home
    Jul 19 2022

    About Between 2 Bits 

    Between 2 Bits is a podcast about tech, data, and the people who work with those things on a daily basis. In each episode, our hosts discuss a wide range of hot topics that all organizations face, and show you some cool things you can do with data along the way.

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    28 min
  • Choosing the best cloud provider for you
    Jul 5 2022

    About Between 2 Bits 

    Between 2 Bits is a podcast about tech, data, and the people who work with those things on a daily basis. In each episode, our hosts discuss a wide range of hot topics that all organizations face, and show you some cool things you can do with data along the way.

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    30 min
  • Meet our hosts!
    Jun 15 2022

    Quotes

     “Overoptimization is something that I’ve seen quite a bit. Really normalizing databases to make them fast, and then in order to do a report, you have to first have a process that pulls the data and makes a flat table, and now you’ve destroyed all the optimization that you created by having a highly-normalized database. So that’s another problem that I have dealt with and have seen quite often. And I think it’s interesting now that it’s become less of a thing – you don’t really see that anymore because databases are more highly optimized off the shelf, and I think folks have realized that we have to use this data. It’s going to get used, so let’s model it in a way that’s actually usable.” 

    About Between 2 Bits 

    Between 2 Bits is a podcast about tech, data, and the people who work with those things on a daily basis. In each episode, our hosts discuss a wide range of hot topics that all organizations face, and show you some cool things you can do with data along the way.

    Voir plus Voir moins
    30 min
  • How to organize a data team
    May 31 2022

    Quotes 

    “Every company that uses data that is running any kind of analytics for anything – and maybe even if they’re not – needs to have that role. You may not be a large enough organization to have a CDO title sitting in the ivory tower; however, someone needs to be identifying what data the company has, how they can use it, how they can solve problems with it, and really be focused on that. When we think about business objectives or business needs, this person should be focused on that, but also there’s whitespace like “how do we minimize attrition,” and those kinds of things. And there are ways you can use data to do that. So there needs to be somebody who has as part of their role to identify what data we’ve got, identify how we can use data, and I would say that that applies to almost any organization.” 

    “So, a CTO, CIO, CDO…there’s a lot of potential crossover between each of those roles, so it’s really defining where it stops and you don’t cross over. I guess I wouldn’t expect a CDO to be dealing with hardware at all. Maybe what’s on the hardware, potentially, but maybe not even that. Maybe just the data. How is that decided? Is it a standard, or is it done per organization and decided amongst the team? 

    About Between 2 Bits 

    Between 2 Bits is a podcast about tech, data, and the people who work with those things on a daily basis. In each episode, our hosts discuss a wide range of hot topics that all organizations face, and show you some cool things you can do with data along the way. Learn more: https://www.talend.com/blog


     

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    38 min
  • IT vs Shadow IT
    May 18 2022

    Quotes 

    “I think the fine line would be what you’re working on, because all the nightmare scenarios we’ve stated had customer data. The moment you involve some sort of company data or customer data – this is when things start to go bad, because there’s no control over who can access this information, where it’s going, how it’s ending up – maybe someone is sending this information across the world. It’s out of the control of central IT.”

    “The risk factor for human behavior is immeasurable. When we get to what IT knows and what they control, a lot of these things are much smaller in scope than people sending emails through their personal account with incredibly sensitive information. "

    “You can’t defend against all bad actors. There will be people that will use all sorts of software which is safe for people to use, that’s safe for IT teams to have out there, but can still potentially be used by a bad actor to cause problems.” 

    Learn more: What is Shadow IT?

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    43 min