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    Tim Krass
    2021-12-08 (duration 46m)
    [transcript]
    02:38 Pittsburgh,
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    Sweet Girl
    2021-09-15 (duration 1h59m)
    [transcript]
    01:06 Vor allem warum? Äh das ist doch in Pittsburgh. Pittsburgh ist doch nicht Houdie. 07:28 sehen wir so eine Art was wir jetzt gerade in der Einleitung auch schon gebracht haben. Ähm der Aquaman hier, Jason Momoa, äh alias Ray steht auf dem Dach eines Stadions in äh in Pittsburgh
     
    Red Sparrow
    2018-10-16 (duration 1h44m)
    [transcript]
    29:24 Was sagt der immer penguins oder paintings.
     
    Now you see me
    2018-01-16 (duration 1h13m)
    [transcript]
    19:25 Nicht die Bohne im ersten Spiel haben die ist in die Jacksonville Jaguars auf die Pittsburgh Steelers getroffen und.
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    Buch VS Film - Die unendliche Geschichte
    2021-02-28 (duration 1h10m)
    [transcript]
    16:33 pittsburgh schnitt den haben wir auch
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    FG083 Bioengineering
    2020-11-17 (duration 2h31m)
    [transcript]
    1:50:46 Also ich war mit einem Kollegen, der ist Chemieingenieur, wir waren in Pittsburgh bei einem Chemieingenieurkongress
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    Ep 06: Smart Cities, Branding & Digital with Rick Robinson, Jacobs
    2020-09-04 (duration 36m)
    [transcript]
    16:07 Well, yes, it's really interesting, isn't it? So, things have actually started to accelerate dramatically. Well, pre-COVID One of the things I look at is that there's a an economist over in the states Marshall van alstyne, who is a an expert on what he calls platform businesses. They're also known as two sided markets but you know, things like Facebook where you know, Facebook don't charge you a certain fee for using their service. They create a marketplace on which third party services thrive so you know, games that we might pay to to play whilst on Facebook and then the Facebook monetise those services, eBay, Amazon, Uber, Airbnb, you know, all of these are similar platform businesses in some. And if you look at the list of the 10 Most Valuable companies in the world then between about 2015 to 2017. The number of platform businesses goes from nought to I think five or six depending on how you count it. Seven of the top 10 most valuable companies in the world and are technology companies and have been for some time so I think that shift started to happen around 2015 - 2017. Now about five years after the the touchscreen and the always on internet connection for your smartphone, people figured out the first wildly successful consumer services, they really scaled. And so we were already seeing a huge change in the economy. And you know, if I look at it, you know, all those examples that I've given, you know, they might lead us to undertake transactions that involve you know, physical goods and services and transport. You know, we go and stay in rented accommodation, we get a car journey somewhere, we have some food delivered to us or etc, etc. The difference is we're choosing which transactions we undertake online in marketplaces that didn't exist 5/10 years ago. Now, that's a really interesting shift. So that was happening already. I think COVID has just accelerated that. And, you know, in particular remote working, so I was remarking to someone only the other day, actually, you know, back in the noughties at one point, I was managing. I was living in Birmingham, managing a team that was based in Hampshire, France and Spain. With a, my boss was in Winchester, and my second line was in Pittsburgh, you know, I hardly met some of these people. I've tended to work from home six, seven days a week and I travelled down to Winchester and stay a couple of days, their work in the Winchester office. So, you know, my life then had a lot of similarities to life under lockdown. So, you know, a lot of this stuff was possible a long time ago. I've also read, you know, some commentators suggesting that working remotely is only working because we are using up the social capital that we previously built, meeting and working face to face. I just think that's a fallacy. I'm working for a company now that's got 55,000 employees, I've only met six of them. Three in my interview process was an old University friend and two others who I knew from previous jobs. So yeah, the other 54,994 I'm meeting remotely, I'm building new relationships. We're winning contracts with new customers for work we've never done before. You know, you can be perfectly creative in this sort of environment. Now, I'm not going to say it's perfect. You know, I'm lucky that I have the space and the connectivity, and the familiarity with these tools, and it all works very well for me. There's many many other people who who are not in that position. And of course, you know, if you talk to schools, if you talk to local authorities, health services, police, etc. You know, the most vulnerable people in our society are precisely the ones least likely to have access to connectivity. have a job you can do remote, etc, etc. And so, you know, a couple of things is that we were we were in the midst of an accelerating shift towards digital ways of doing things already. COVID has dramatically accelerated that. And it's taught, you know, many organisations that they can do things in completely different ways. But it's also thrown the digital divide into stark relief and reveal that it actually that's a life and death matter. You know, I'm starting to think it is unconscionable that we don't find a way to provide connectivity to everyone. Do you know by analogy, you wouldn't think of building a house without water pipes and taps? Why do you think you're building a house without connectivity and some form of device to access it?
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    Getting A Handle On Portable C Extensions With hpy
    2020-03-17 (duration 35m)
    [transcript]
    00:13 Hello, and welcome to podcast ordinate, the podcast about Python and the people who make it great. When you're ready to launch your next app or want to try a project you hear about on the show, you'll need somewhere to deploy it. So take a look at our friends over at linode. The 200 gigabit and private networking node balancers, a 40 gigabit public network fast object storage and a brand new managed Kubernetes platform all controlled by a convenient API, you've got everything you need to scale up. And for your tasks that need fast computation such as training machine learning models or running your ci CD pipelines. They've got dedicated CPU and GPU instances. Go to Python podcast.com slash linode. That's Li n o d today to get a $20 credit and launch a new server in under a minute. And don't forget to thank them for their continued support of this show. As a developer maintaining a stable flow is key to productivity. Don't let something as simple as the wrong function ruin your day. kite is the smartest completions engine available for Python featuring a machine learning model trained by the brightest stars of GitHub, featuring ranked suggestions sorted by relevance offering up to full lines of code in a program and co pilot that offers up the documentation you need right when you need it. Get it for FREE today at get kites calm with integrations for top editors, including atom VS code, pi, charm, spider, vim and sublime. And you listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For even more opportunities to meet listen and learn from your peers you don't want to miss out on this year's conference season. We have partnered with organizations such as O'Reilly Media chronium Global intelligence, od sc and data Council. Upcoming events include pi con us and Pittsburgh, go to Python podcast.com slash conferences to learn more about these and others events and take advantage of our partner discounts to save money when you register today. Your host, as usual is Tobias Macey. And today I'm interviewing Antonio Cooney about h py a project aiming to reimagine the C API for Python. So Antonio, can you start by introducing yourself?
     
    Riding The Rising Tides Of Python
    2019-12-16 (duration 44m)
    [transcript]
    36:40 Yeah, we'll see. And since you are living in Pittsburgh and engaged with the community there, and that's where pi con is going to be for the upcoming two events. What are some of the things that people who are attending the conference should know about the area? 23:09 Yeah, it's just a really just powerful trend generally, one of the meetups I did here last year, there was a woman who presented on, she works on the artificial pancreas project. And so this is an open source project to make a closed loop, pancreas system, so she has juvenile juvenile diabetes, and the automatic insulin pumps that were on the market are just very primitive, like very, very lagging and stuff like that. So people hack the hack the firmware and wrote, you know, monitors that are much more responsive. And I'm like this, like, this is the promise of free software. This is what open software is about is people like building. Chris. You know, it's just amazing to me, and I think the challenge is the community is just how do we welcome these people in is just More and more people get involved in like people who don't think of themselves primarily as coders, you know, there's a pretty large community here in Pittsburgh of people who do computational art. And they are, they're artists first, and programmers Second, if that's a meaningful thing to say, but you know, programming is their paintbrush. And as more and more people get involved This is how do we continue to spread our culture? And I mean that both in a technical and social sense, you know, basically have people don't you know, people coming in don't know, you know, version control, or testing or kind of all these kind of basic practices that we've developed, and how do we spread that but then also just, you know, how do we set our community values, accessibility, you know, free software. 11:20 Yeah, it's an interesting, it's an interesting question. I run the Python meetup here in Pittsburgh. And about six months ago, we did an event called Pete picks a Python package. And so just trying to teach people that when I go out, and I'm trying to find a third party library to use, what am I looking at? And this is a question, you know, the ecosystem is so large and so complex, and this was one of these issues is, you know, you know, I go I look at the GitHub activity, and is it done? Is it just is it dead are people not using it? And so, you know, being distinguishing between, you know, projects that have open bug reports or open pull requests that are just aging and not getting respond to that project might be dead. But something that just doesn't have bug reports and started Yeah, it might still be still be active, you know, other things I look at our, our their documentation or their tests, I like to look at some code and then just get a sense of kind of the feel of like what people are doing. I tend to do this when I'm doing interviews, either, you know, when I've been hiring for a company, or just I do this sometimes, for clients, as I do technical interviewing is like, I like to see some real code. And my favorite thing to actually look at is utils. py, is that you learn a lot about a project or a person's coding style about what they what they think utility functions are. But yeah, I think that's I think it's a far more effective way of evaluating a technical peer or a project or than whiteboarding or kinda any other silly thing. And it's like what we do all day is write code. And so like, let's, let's see. So
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    Scaling Data Governance For Global Businesses With A Data Hub Architecture
    2020-03-09 (duration 54m)
    [transcript]
    00:10 Hello, and welcome to the data engineering podcast the show about modern data management. When you're ready to build your next pipeline or want to test out the project to hear about on the show, you'll need some more to deploy it. So check out our friends over at linode. With 200 gigabit private networking, scalable shared block storage, a 40 gigabit public network fast object storage and a brand new managed Kubernetes platform you get everything you need to run a fast, reliable and bulletproof data platform. And for your machine learning workloads. They've got dedicated CPU and GPU instances, go to data engineering podcast.com slash linode today to get a $20 credit and launch a new server in under a minute. And don't forget to thank them for their continued support of this show. And you listen to this show to learn and stay up to date with what's happening in databases, streaming platforms, big data and everything else you need to know about modern data management. For even more opportunities to meet listen and learn from your peers. You don't want to miss out on this year's conference season. We have partnered with organizations such as O'Reilly Media, cranium global intelligence od sc into data Council. Upcoming events include strata data in San Jose and pi con us in Pittsburgh. Go to data engineering podcast.com slash conferences, to learn more about these and other events and to take advantage of our partner discounts to save money when you register today, your host is Tobias Macey. And today I'm interviewing Tim Ward about using an architectural pattern called Data hubs that allows for scaling data management across global businesses. So Tim, can you start by introducing yourself?
     
    Easier Stream Processing On Kafka With ksqlDB
    2020-03-02 (duration 43m)
    [transcript]
    00:10 Hello, and welcome to the data engineering podcast the show about modern data management. When you're ready to build your next pipeline or want to test out the projects you hear about on the show, you'll need some more to deploy it. So check out our friends over at linode. With 200 gigabit private networking, scalable shared block storage, 40 gigabit public network fast object storage and a brand new managed Kubernetes platform you get everything you need to run a fast, reliable and bulletproof data platform. And for your machine learning workloads. They've got dedicated CPU and GPU instances. Go to data engineering podcast.com slash linode today to get a $20 credit and launch a new server in under a minute. And don't forget to thank them for their continued support of this show. Are you spending too much time maintaining your data pipeline? snowplow empowers your business with the real time event data pipeline running in your own Cloud account without the hassle of maintenance snowplow takes care of everything. From installing your pipeline in a couple of hours to upgrading and auto scaling so you can focus on your exciting data projects. Your team will get the most complete, accurate and ready to use behavioral web and mobile data delivered into your data warehouse, data lake and real time data streams. Go to data engineering podcast.com slash snowplow today to find out why more than 600,000 websites run snowplough set up a demo and mention your listener for a special offer. And you listen to this show to learn and stay up to date with what's happening in databases, streaming platforms, big data and everything else you need to know about modern data management. For even more opportunities to meet listen and learn from your peers you don't want to miss out on this year's conference season. We have partnered with organizations such as O'Reilly Media chronium Global intelligence, od sc and data Council. Upcoming events include strata data and San Jose and pi con us in Pittsburgh, go to data engineering podcast.com slash conferences, to learn more about these and other events and to take advantage of our partner discounts to see money when you register today, your host is Tobias Macey, and today I'm interviewing Michael Drogalis about k SQL DB, the open source streaming database layer for Kafka. So Michael, can you start by introducing yourself?
     
    Shining A Light on Shadow IT In Data And Analytics
    2020-02-25 (duration 46m)
    [transcript]
    00:11 Hello, and welcome to the data engineering podcast the show about modern data management. When you're ready to build your next pipeline or want to test out the project you hear about on the show, you'll need some more to deploy it. So check out our friends over at linode. With 200 gigabit private networking, scalable shared block storage, a 40 gigabit public network fast object storage and a brand new managed Kubernetes platform you get everything you need to run a fast, reliable and bulletproof data platform. And for your machine learning workloads. They've got dedicated CPU and GPU instances. Go to data engineering podcast.com slash linode today to get a $20 credit and launch a new server and under a minute, and don't forget to thank them for their continued support of this show. Are you spending too much time maintaining your data pipeline, snowplow empowers your business with a real time event data pipeline running in your own Cloud account without the hassle of maintenance snowplow takes care of everything from installing your pipeline and a couple of hours to upgrading and auto scaling so you can focus on your exciting data projects. Your team will get the most complete, accurate and ready to use behavioral web and mobile data delivered into your data warehouse, data lake and real time data streams. Go to data engineering podcast.com slash snow plow today to find out why more than 600,000 websites run snowplow, set up a demo and mention your listener for a special offer. And you listen to this show to learn and stay up to date with what's happening in databases, streaming platforms, big data and everything else you need to know about modern data management. For even more opportunities to meet listen and learn from your peers you don't want to miss out on this year's conference season. We have partnered with organizations such as O'Reilly Media chronium, global intelligence, od sc and the data Council. Upcoming events include strata data and San Jose and pi con us in Pittsburgh, go to data engineering podcast.com slash conferences, to learn more about these and other events and to take advantage of our part Enter discounts to save money when you register today. Your host is Tobias Macey. And today I'm interviewing Sean nap and Charlie Crocker about shadow it in the data and analytics space. So Sean, can you start by introducing yourself?
     
    Data Infrastructure Automation For Private SaaS At Snowplow
    2020-02-18 (duration 49m)
    [transcript]
    00:11 Hello, and welcome to the data engineering podcast the show about modern data management. When you're ready to build your next pipeline or want to test out the project to hear about on the show, you'll need somewhere to deploy them. So check out our friends at linode. With 200 gigabit private networking, scalable shared block storage, 40 gigabit public network fast object storage and a brand new managed Kubernetes platform you'll get everything you need to run a fast, reliable and bulletproof data platform. And for your machine learning workloads. They've got dedicated CPU and GPU instances. Go to data engineering podcast.com slash linode. That's l i n od e today to get a $20 credit and launch a new server and under a minute, and don't forget to thank them for their continued support of this show. And setting up and managing a data warehouse for your business analytics is a huge task integrated real time data makes it even more challenging, but the insights you obtain can make or break your business growth. You deserve a data warehouse engine that outperforms the demands of your customers and simplifies your operations at a fraction of the time and costs you might expect. You deserve click house the open source analytical database that deploys and scales wherever and whenever you want it to end turns data into actionable insights. And I'll tennety the leading software and service provider for click house is on a mission to help data engineers and DevOps managers tame their operational analytics. Go to data engineering podcast.com slash l tennety. That's a lt INITY for a free consultation to find out how they can help you today. New listen to this show to learn and stay up to date with what's happening in databases, streaming platforms, big data and everything else you need to know about modern data management. For even more opportunities to meet, listen and learn from your peers. You don't want to miss out on this year's conferences and we have part Well organizations such as O'Reilly Media trinium, global intelligence, od sc and data Council. Upcoming events include the software architecture conference in New York strata data in San Jose and pi con us and Pittsburgh. Go to data engineering podcast.com slash conferences to learn more about these and other events and to take advantage of our partner discounts to save money when you register today. Your host is Tobias Macey. And today I'm interviewing Joshua, Beemster about how snowplow manages deployment and maintenance of their managed service to their customers cloud accounts. So Josh, can you start by introducing yourself?
     
    Data Modeling That Evolves With Your Business Using Data Vault
    2020-02-09 (duration 1h6m)
    [transcript]
    00:11 Hello, and welcome to the data engineering podcast the show about modern data management. When you're ready to build your next pipeline or want to test out the project to hear about on the show, you'll need somewhere to deploy them. So check out our friends at linode. With 200 gigabit private networking, scalable shared block storage, 40 gigabit public network fast object storage and a brand new managed Kubernetes platform you'll get everything you need to run a fast, reliable and bulletproof data platform. And for your machine learning workloads. They've got dedicated CPU and GPU instances. Go to data engineering podcast.com slash linode. That's l i n o d today to get a $20 credit and launch a new server and under a minute, and don't forget to thank them for their continued support of this show. And setting up and managing a data warehouse for your business analytics is a huge task, integrating real time Data makes it even more challenging, but the insights you obtain can make or break your business growth. You deserve a data warehouse engine that outperforms the demands of your customers and simplifies your operations at a fraction of the time and costs you might expect. You deserve click house, the open source analytical database that deploys and scales wherever and whenever you want it to end turns data into actionable insights. And I'll tennety the leading software and service provider for click house is on a mission to help data engineers and dev ops managers tame their operational analytics. Go to data engineering podcast.com slash l tennety. That's a L t i n ITY for a free consultation to find out how they can help you today. New listen to this show to learn and stay up to date with what's happening in databases, streaming platforms, big data and everything else you need to know about modern data management. For even more opportunities to meet, listen and learn from your peers. You don't want to miss out on this year's conferences and we have partnered with our innovations such as O'Reilly Media trinium, global intelligence, od sc and data Council. Upcoming events include the software architecture conference in New York strata data in San Jose and pi con us and Pittsburgh. Go to data engineering podcast.com slash conferences to learn more about these and other events center take advantage of our partner discounts to save money when you register today. Your host is Tobias Macey. And today I'm interviewing Kent Graziano again, this time about the data vault modeling approach and the role that it plays in the current data landscape. So Ken, can you start by introducing yourself?
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