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  • Let HeatWave Drive: The AutoPilot Advantage
    Aug 21 2025
    In this episode, leFred and Scott are joined by Onur Korcerber to explore the many features of HeatWave AutoPilot. Learn how AutoPilot’s intelligent automation helps manage MySQL instances with ease, optimizes performance, and reduces operational costs. Onur shares practical insights and real-world examples showing how customers can streamline their database operations with HeatWave AutoPilot. ------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:31:20 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:31:22 - 00:01:03:00 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz, joining us today is Onur Kocberber. Onur is currently a director of Development at Oracle, leading efforts on MySQL HeatWave, specifically working on the AutoPilot. Based in Oracle's Zurich office, Onur focuses in advanced research and development to improve cloud database performance through interpretable machine learning techniques. 00:01:03:02 - 00:01:24:16 He plays a key role in the ongoing growth of HeatWave, including work on new offering like the HeatWave Lakehouse and HeatWave GenAI service. Welcome, Onur. Thanks. Thanks leFred, thanks Scott. Great to be here. So Onur, can you tell us a bit about your journey? What led you to Oracle and specifically to the MySQL HeatWave team? All right. 00:01:24:16 - 00:01:53:10 So I, I was a grad student at EPFL Lausanne in Switzerland, and, I was doing research specific doing database, accelerators, both for, with hardware and software. And, at the time, I knew that Oracle Labs had a very exciting project about, building basically hardware, software, core design, database machines. And once I graduated, I knew that there were really good set of people. 00:01:53:10 - 00:02:21:18 And that's, how I joined. So I came to basically Zurich, to to the Oracle Labs branch. And then eventually, maybe fast forward ten years, we have, HeatWave database service, but, what we see includes MySQL and other things I will discuss today. That is fantastic. So, Onur, this entire season has been dedicated to, everything AI. 00:02:21:18 - 00:02:47:07 What AI offerings that HeatWave has and some of our listeners, I would guess maybe many of our listeners probably aren't too familiar with, HeatWave AutoPilot. Can you give us a high altitude overview of what AutoPilot is and, what problems that might be resolved? So the database systems today are all cloud databases, right? And, these are many services. 00:02:47:07 - 00:03:21:04 And the onus is on us, in terms of managing these systems. So the customers are expecting basically a full, full fledged, automated service with no, let's say rough edges. And that's where, AutoPilot, comes into play. And when we started the project, when, MySQL HeatWave was becoming a cloud service, we, also started the AutoPilot project, and, we basically targeted four different, let's say, problem domains. 00:03:21:04 - 00:03:53:04 So these are, setting up the system, data, basically loading the data or data management query execution and then failure handling. And, for each of these, categories, we basically looked at what, how we could, improve customer experience as well as customer performance. And at the same time, we put the machine learning, as one of our, basically main objectives because, this is a very old topic, right? 00:03:53:04 - 00:04:18:12 This is this is not a new topic like database management on automatic database, admins and DBAs and such. So that's why we took all the, academic research, plus the realities all today, which is the cloud services. And then, we looked at these four different pillars and then fast forward to today, we have like a double digit numbers in the AutoPilot suite. 00:04:18:14 - 00:04:55:12 Wonderful. And that's awesome. So and why then, this HeatWave AutoPilot is a game changer for users. Right. So, one of the things that we were seeing in the early days of our services that customers would sometimes put together, let's say, scripts or rules or let's say, some sort of, business practices, right? And in AutoPilot, we are taking all of those, especially what you're observing or what you're anticipating, right, that, the customers will have problems with. 00:04:55:16 - 00:05:18:07 And then we are offering them out-of-the-box ready to use for the for the customers. Some of those are fully automated, like, let's say, for or planned improvements. These are like these are happening completely transparent to the use it and some of the features that are a bit more about, the cost optimization of the service or performance optimizations are provided as an advisor. 00:05:...
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    27 Min.
  • HeatWave Hot Takes: The Power of ML and GenAI
    Aug 7 2025
    In this episode, leFred and Scott welcome Jayant Sharma and Sanjay Jinturkar to the Sakila Studio for an insightful conversation on machine learning and generative AI within HeatWave. Discover how these cutting-edge technologies are integrated, what makes HeatWave unique, and how organizations can leverage its capabilities to unlock new possibilities in data and AI. Tune in for practical insights, real-world use cases, and a closer look at the future of analytics. ------------------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:32:01 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:32:03 - 00:00:54:17 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz. Today for the second episode of season three dedicated on AI. I am pleased to welcome Sanjay Jinturkar. Sorry if I pronounce it badly. No, you did it right. Hi there. Thank you. So Sanjay is the senior director at Oracle based in New Jersey. 00:00:54:19 - 00:01:21:13 He leads product development for it with AutoML and GenAI with a strong focus on integrating these technologies directly into each HeatWave database. And Sanjay has been instrumental in enhancing HeatWave's machine learning and GenAI tool sets, enabling use case like predictive maintenance, fraud detection and intelligent dicument and Q&A. And also we have a second guest today. 00:01:21:13 - 00:01:48:21 It's a Jayant Sharma. Hi, Jayant. Hello. So Jayant Sharma is senior director of product management at Oracle. He has over 20 years of experience in databases, spatial analytics and application development. He's currently focused on the product strategy and design of the Heatwave MySQL managed services offering. Hey Fred. Thank you, both of you for joining us today. So I'm going to dive right in with the question for Jayant. 00:01:48:23 - 00:02:12:14 Why did Oracle decide to integrate machine learning in generative AI capabilities directly into HeatWave? Thank you Scott, first for this opportunity. And yes, we have to start with first, you know, talking about MySQL, right? MySQL is the world's most popular open source database. And what do all of these customers, the thousands of customers that they have, do with it? 00:02:12:16 - 00:02:47:05 They manage a business process. They manage their enterprise, right? Their focus is on what they want to do, why they want to do it, and not so much the how. That's what MySQL makes it easier. And Heatwave is a managed service on MySQL. Okay, so as folks are modernizing their applications, taking advantage of new technology, they want to be able to use new workloads, new analytics, and modernize their business processes, make it more efficient, make it more effective. 00:02:47:07 - 00:03:09:17 In order to do that, they want to do things such as machine learning and use the benefits of generative AI. However, what they want to focus on, as we said, is what they want, why they want to do it and not the how. So they don't want to have to think about. I have all of this data that's potentially a goldmine. 00:03:09:19 - 00:03:40:07 How do I extract nuggets from it, and how do I safely move it and transfer in between the best of breed tools? I want to be able to do things where they are. I want to bring the capabilities, these new capabilities to my data. I don't want to take my data to where those capabilities are exposed, right? That is why we made it possible to do machine learning and GenAI where your gold mine is, where your data is in MySQL in Heatwave. 00:03:40:09 - 00:04:06:07 Awesome. Thank you. So, I would like to ask you to Sanjay, then. How Do the the, machine learning engine in the HeatWave, offer differ from, using external machine learning pipelines with the with the data we have in the database? It differs in a couple of weeks, specifically how the models are built, who builds them and where they are built. 00:04:06:09 - 00:04:46:09 So our pipeline, we provide, automated pipeline, which can take your data in MySQL database or Lakehouse, and then automatically generate the model for you. So it does the, usual tasks of pre-processing, hyperparameter optimization, and, data cleansing, etc. automatically so that the user doesn't have to do that. We would even go ahead and do, explanations for you in certain use cases, given that this is automated, a big side effect of that is users don't need to be experts in machine learning. 00:04:46:11 - 00:05:16:08 What they need to focus on is their business problem, and how that business problem maps onto one of the features that we provide. From there onwards, the pipeline takes over and generates the models for it. And the third piece ...
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    27 Min.
  • AI for the Rest of Us: A High-Level Overview
    Jul 25 2025
    Kick off Season 3 of Inside MySQL: Sakila Speaks as leFred and Scott welcome Matt Quinn for an engaging introduction to the world of Artificial Intelligence. In this episode, we step back from the database and explore what AI really is, how it’s shaping society and technology, and why it matters to anyone in tech today. Whether you’re just curious about AI or eager to understand its key concepts, join us as we break down the basics and set the stage for a season of discovery. ------------------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:31:22 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:32:00 - 00:00:58:22 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz. Join us today. It's Matt Quinn, vice president and head of AI at Orracle. Matt leads how Oracle Cloud Infrastructure's AI services are adopted by customers in EMEA. Matt brings deep expertise in enterprise software strategy and a passion for making AI both powerful and its adoption practical. 00:00:59:00 - 00:01:21:03 Today he is here to help us unpack what GenAI really means for the organizations we work for and buy from, and what it means for developers, data professionals, and MySQL users everywhere. Matt, welcome to Inside MySQL: Sakila Speaks. It's great to have you with us to kick off season three of our podcast. Thank you very much, Fred, Scott, great to be with you. 00:01:21:08 - 00:01:43:21 Looking forward to, to an interesting conversation and getting us going for season three. Awesome. Matt, thanks for being here with us. So right off the bat, when most people hear the term AI, they probably think of chat bots. But that's just one form of AI. Can you help provide us with like a high overview of the different types of AI that exist? 00:01:43:23 - 00:02:15:10 Absolutely. And I think AI and itself is a broad church, right? There's a number of different, kinds of AI. The term actually dates back to the 1950s as a concept for you know, machine thinking. It's had a couple of false dawns over the time when compute and data to train. I wasn't really quite ready for this, but as we got into the 90s and the early noughties, as compute power grew, as storage grew, a confluence of internet accessibility, lots of data becoming available, and then we time fed forward. 00:02:15:12 - 00:02:33:12 We found that organizations could do the fundamentals of what we know of AI today things like machine learning. So learning a trend and a pattern, looking at what happened in the past and do a statistical regression on that to predict some future outcome based on what happened in the past. And we use examples of this today without even knowing it. 00:02:33:12 - 00:02:52:11 You know, is this email that's coming into my email system, is this spam or not spam? Those kind to classifier types of AI have been prevalent for the last ten, 15, 20 years, and we're moving forward to where AI has this more kind of human interaction. It's surfacing and it's suddenly popped into the zeitgeist, for for conversation. 00:02:52:15 - 00:03:14:03 So it has multiple facets. We have machine learning trained something to do, something very specific, show it, something that it's seen before and enable it to predict the future based on what it's learned. But we're starting to see this wave of generative AI do more advanced, more nuanced, more humanlike things, and I think that's a really powerful kind of inflection point that we've seen in the last two, three years. 00:03:14:05 - 00:03:39:02 Thank you. So because in your first, answer, you said you said about the 70s and 90s, but why is I having such a huge moment right now? So what changed since that time? I think that the real inflection point is the the kind of conversational nature of it. You can speak human to it, and it can speak human back to you. 00:03:39:04 - 00:04:01:13 If I think about how compute evolved, you know, it used to be I had to type cryptic commands on the green screen in order to be able to use a computer, which meant the audience of people who could use computer to do something was very limited. In the 80s is the GUI. The graphical user interface kind of emerged suddenly it was a keyboard in a mouse, and the population of people who could interact with the computer was much broader. 00:04:01:15 - 00:04:19:02 Mobile did the same for us, but you still had to learn things. You had to take the human to interact in a way that made sense to the computer. With generative AI, I think what's happened in the last 2 or 3 years is actually the computer is coming to meet the human. Suddenly it's able to interact with us in our language. 00:04:...
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    27 Min.
  • A Rockstar Speaks
    Mar 17 2025
    MySQL Rockstar, René Cannaò, drops in on Fred & Scott to wax philosophical about the success of MySQL, the MySQL Community, and his inspiration for ProxySQL ----------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:36:10 Unknown Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open-source database. Let's get started! Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. 00:00:36:14 - 00:01:01:13 Unknown I am leFred and that is Scott Stroz. Today we are happy to welcome René Cannaò to our podcast. René is a well-known figure in the MySQL ecosystem. He's mainly known as the author of ProxySQL, which he founded in 2016 after developing it since 2013. René is one of our rockstasr and recently received his award during the last Pre-FOSDEM MySQL Belgium Days. 00:01:01:15 - 00:01:25:11 Unknown Welcome, René. Hi, Fred. Thanks for the introduction. I'm very excited to be part of this podcast. And, yeah, it's I'm way I also very much appreciate the MySQL award that I received the early last last month. It was a nice surprise, and I'm very excited to be part of this growing community. Awesome. Thank you René, it was great meeting you last month. 00:01:25:13 - 00:01:48:07 Unknown So, as a longtime member of the MySQL community, do you have any thoughts on how MySQL became the most popular open source database that powers the internet? I don't think that MySQL popularity can be attributed to just one single factor, but I think the combination of factors that made, MySQL so popular as an open source database that is powering the web. 00:01:48:08 - 00:02:17:19 Unknown So, I would say that the probably the very first factor is its simplicity and easy to use, that it made it accessible to all developers of all levels, especially during the early days of the web. So, everybody could have access to MySQL and install it. And this made possible for MySQL to be part of, that very classic Lamp stack in which we had the Linux, Apache, MySQL, and then PHP, Python or Perl. 00:02:18:01 - 00:02:47:14 Unknown So, MySQL was part of this stack, and this allowed it to have, widespread adoption, especially for web application. And, you know, this, this sort of created, positive feedback loop because, as more, users were using MySQL, then the product was becoming a bigger product and then more users were using MySQL. So, you know, this created an absolutely, feedback loop. 00:02:47:19 - 00:03:21:04 Unknown And I think another factor that absolutely affected, the popularity of MySQL was the fact that, not only was easy to download it easy to install, but it was also very reliable, very, very good performance for web application. And it was focused on what the traditional and nontraditional, transactional and non-transactional, workload. So, everybody could make it, and could use it no matter how big were their specific web application. 00:03:21:05 - 00:03:51:11 Unknown And, finally, I think, another important factor was the fact that it had a very, fast growing community around it. So, this absolutely is one of the factors that made it, one of the most popular open-source database. Awesome. Thank you. René. So, as we can hear, you know, very well, MySQL, you're around for a long time in the community, but, it seems that you also worked at MySQL, isn't it? 00:03:51:11 - 00:04:19:05 Unknown Yes. That's correct. As I said, so if you correct, have been in the MySQL ecosystem for very long time, I think I started using MySQL in production in 2004. I was one of the very, few people that saw getting the MySQL certification. Actually, I think it was I was, number 23 with the MySQL Cluster certification. 00:04:19:09 - 00:05:04:01 Unknown So, I've been using my secret for very long time. And as you correctly mentioned, I also worked for MySQL from 2008 till 2011. And, I was part of the MySQL support team. Immediately after the acquisition from Sun. And there was that the last 11. So, after, the acquisition, for Oracle. And I would say that as me, I have been very fortunate in, working, team member of the MySQL support team because there I had the opportunity not only to work together with excellent, and very knowledgeable people that were working in my same team, in the MySQL support team. 00:05:04:06 - 00:05:27:19 Unknown But, I also had, let's say easy access to developers or MySQL developers. So, if there was anything that none of us in the MySQL support team were able to answer about some specific internal of MySQL, it was it was extremely good that we always had the some developers who we could ask for feedback or for clarification. 00:05:27:21 - 00:06:07:09 Unknown And I would say that, I was also very fortunate in...
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    15 Min.
  • The Bug Whisperer
    Feb 13 2025
    For this episode, Fred and Scott are joined by Laurynas Biveinis - one of the most prolific individual contributors to MySQL Community. Take a listen as Laurynas discusses the process he uses when he discovers bugs and how he sets up tests for the engineering team. ----------------------------------------------------------- Episode Transcript: 00;00;09;14 - 00;00;36;00 Unknown Welcome to Inside MySQL: Sakila Speaks, a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open sourcedatabase. Let's get started! Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. 00;00;36;07 - 00;01;13;06 Unknown I am leFred and I'm Scott Stroz. Today we are thrilled to welcome Laurynas Biveinis to our podcast. Laurynas. He's a highly respected software engineer and a seasoned expert in database technologies, particularly MySQL. With a rich background in database internals, performance optimization and open source development. Laurynas has contributed extensively to the MySQL ecosystem. He has played a key role in announcing most performance and reliability to his work on project like the Percona server and other database innovation. 00;01;13;08 - 00;01;45;08 Unknown We are excited to dive into this highlight on MySQL, his evolution and the future of the database technology. Laurynas, you have been extremely active in helping improve MySQL and since April 2011, you have reported 444 bugs. First of all, I love the symmetry of the number of 444, but can you like, give us, a brief walkthrough of how you go about reporting the bugs? 00;01;45;08 - 00;02;00;25 Unknown Like, like what type of testing do you do? Do you set up some type of test framework or, or something? Because obviously, you know, you need to make sure that it can be repetitive and you have to report that stuff to, to the team. But just walk us through like your mental process that you, you, you do for that. 00;02;00;28 - 00;02;30;28 Unknown Hello. And, thanks for having me here. So to, to to answer the question about bug reporting. Whenever I notice that something is off, and I make a note of it, and I return to it later, and the majority of my bugs come from, either, documentation reading, either from the source code reading or from, running the source code, in the in a test framework. 00;02;31;00 - 00;02;52;18 Unknown So, the test framework gives something that, creates reproducible test cases. And if I can write one in the test case, in the, in the test framework, I do that and I submit that with a bug reports. And I know that your team immediately can, they can tell me whether they produce it or is, that they need something else for me. 00;02;52;21 - 00;03;20;04 Unknown So. So you are using MTR, as the the same framework as we do? Yeah. Most of the time I'm using MTR. So, but, so about all that, huge number of bugs that you report, you are also one of the most prolific contributors of my SQL with, 84 contributions in MySQL 8. So, why are you contributing so much and what type of contribution do you do usually for people that doesn't know you? 00;03;20;06 - 00;03;48;09 Unknown Well, so, these are usually bug fixes. Most of the time small but sometimes larger too. And over the years there have been a few performance features contributor to. So the thing I like about contributing is that,contribution makes that code less of my problem and more of your problem. So, it's like a gifting a puppy. 00;03;48;11 - 00;04;17;27 Unknown And so now you have to take care of it, although you are happy you received it. I love that analogy. That's a that's a that's a analogy about open source, contributions. That's great. So I've seen that you, recently have been blogging quite a bit about, MySQL and Mac OS, which interests me because for work I use, a mac and obviously I have to run MySQL on that platform. 00;04;18;00 - 00;04;48;15 Unknown But usually MySQL is run on Linux. That's a probably. Linux is probably the most popular operating system on which to run MySQL. Why do you think that is? Well, it's won the server wars. Hasn't it? And with the, the newer with the new features, with, with the BPF and you're in it's, it gets better every day and there is no real competition for it in the server space. 00;04;48;18 - 00;05;15;22 Unknown But the thing I love about Mac is that, development is easier for me on the Mac, and the hardware is very good. The build times are excellent on, on the on the Apple silicon machines. So I like that, I can do it with the least friction and with the, the best the turnaround time from typing to testing. 00;05;15;24 - 00...
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    9 Min.
  • What's in a name?
    Jan 30 2025
    Pedro Andrade joins Fred and Scott to talk about how MySQL's mascot was named. Pedro shares a conversation he had with Ambrose Twebaze where they discuss the competition where Sakila was given her name.
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    20 Min.
  • MySQL User Group Spotlight: MyNA
    Jan 16 2025
    Fred & Scott have a chance speak with special guests from MyNA—the Japanese MySQL user association—which is one of the most active MySQL user groups in the world.
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    22 Min.
  • MySQL Time Capsule
    Dec 13 2024
    In this episode, Fred & Scott share their history with MySQL - including when they first started using MySQL and discuss some of their favorite features. --------------------------------------------------------- Episode Transcript: 00;00;08;15 - 00;00;30;23 Welcome to Inside MySQL Sakila speaks - a podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL product updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open-source database. Let's get started. 00;00;30;29 - 00;00;56;13 Welcome to Inside MySQL: Sakila Speaks, I am leFred and I'm Scott Stroz. Hi, Scott. So today we start the season two first episode. Am I right? Indeed. And unlike previous episodes, it's just you and me. We don't have a guest. We're going to talk about our experiences using MySQL That's awesome. So, Scott, tell me, how do you came to MySQL and when was it? 00;00;56;20 - 00;01;30;28 I know it was in either late 2001 or early 2002. I had just started a job as a web developer for the company I worked for as a paramedic, previously. So, I switched careers, but I was fortunate enough to stay at the same company and I had no budget. I was I literally had to create. I literally had to build a server out of spare parts in the back room, and I used a LAMP configuration. 00;01;30;28 - 00;01;56;07 So, Linux, Apache, MySQL and PHP, and if I remember correctly, the first version was 3.23 I think was the first version that I used, and I've been using it ever since. I've done most of the work I've done with MySQL has been on personal projects, so any time I've had a little personal project I've done, I've used that. 00;01;56;07 - 00;02;26;14 And there's been a couple of projects, you know, from jobs that I've done, you know, pretty big jobs for like big government agencies that have used it as well. How about you? For me, I was expecting you had started before me, so I would have looked younger, but so I started. But with MySQL the first time I really discovered MySQL without really knowing what it for. 00;02;26;17 - 00;02;57;00 I was already 1997 because I was a fan of Linux and still I am right there. I may be one of the only guys who, before 2000 went to a Linux desktop. Even so, a Linux desktop year was for me a long time ago. And so I remember it's a fun story because I went to a computer shop to buy some games. 00;02;57;03 - 00;03;23;17 I wanted to buy a game, in fact, and the game was just the small floppy disk and it costs and at that time I think it was around what we call thousand Belgium franc before Euro. So, and, and there was this box of five or six CDs called InfoMagic CDs where it was Linux on it. Right. 00;03;23;19 - 00;04;05;07 And and this is I say with the same money I would have more with than a floppy, I will have a full CDs there. And so this is how I started to install the first time Linux on my machine. And it was a bit before 1997, the first InfoMagic. I think it was around 1994 or five, but it was without MySQL at that tie and every year I was buying the new InfoMagic set and there was MySQL 3.20 in beta – in slackware - at the time and this is so I install it the first time and then I started to try to have a look at it. 00;04;05;09 - 00;04;33;03 and as I was doing computing at a computer science job and it was a time of CGI in Perl, I remember I started with something called Sprite and that allows you to write and to SQL on flat the text file. So we were using that to record the, the IP of people visiting to read, counters not to not incremental the day. 00;04;33;06 - 00;05;07;18 And then I switched to MySQL to do that, to have something even better than a flat file. But this was just during the study I would sit and after death, professionally, I met MySQL already around between 2002 to 2004, I guess, and the company I was working in Belgium, we started to work with MySQL AB at the time and I passed the training in 2005. 00;05;07;18 - 00;05;38;01 It was still in MySQL 4.1 exams at the time and we had the core and professional exam and this is how I really jumped in MySQL as a daily work, I would say taking the exam and then doing consulting in Belgium for MySQL. And after that I also worked with the make company, the one I was working for with MySQL AB to provide also training so for MySQL. 00;05;38;01 - 00;05;59;25 So the the usual training of MySQL AB or as some companies in Belgium were basically to be was not able to deliver because there were too many people they wanted in some time in French and Italian at the same time. So it was a bit and this is how I really started to learn and study MySQL. So I really enjoyed that. 00;05;59;27 - 00;06;36;21 But I never end up there. It was this fast, always move forward both. As you know, we also do a conference. You do? We do conferences. I do talks and I really jumped into MySQL community....
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    19 Min.