Oracle Academy Tech Chat

Oracle Corporation

Oracle Academy, Oracle's global philanthropic education program brings you Oracle Academy Tech Chat where we discuss how Oracle Academy helps prepare the next generation's work force. In this podcast Tyra Crockett, Senior Manager Oracle Academy North America, interviews experts across the Oracle ecosystem about their experience and advice for educators and their students.

  1. 5 NGÀY TRƯỚC

    Demystifying Tech Roles: Account Cloud Engineer

    Unlocking the Role of an Account Cloud Engineer at Oracle What does it take to bridge technical expertise with real-world customer impact? In this episode, we dive deep into the role of the Account Cloud Engineer (ACE) at Oracle—a unique position that sits at the intersection of technology and customer engagement. Often misunderstood as solely technical, ACEs play a vital role in presales, partnering with sales teams to guide customers through Oracle Cloud Infrastructure (OCI) solutions. From shaping architectural designs to providing ongoing support, ACEs are key to delivering value-driven cloud transformations. Listeners will discover: How ACEs collaborate with sales to co-design custom cloud solutions for clients The importance of soft skills—like communication, collaboration, and curiosity—alongside technical acumen What a typical day looks like for an ACE, including demos, workshops, customer calls, and problem-solving How cloud certifications, mini-courses, and real-world experience can jump-start your cloud career Why asking the right questions helps uncover and solve customers' real challenges We also spotlight the Generation Oracle (GenO) program—a global initiative dedicated to launching tech careers for people from all backgrounds. Whether you're a student, educator, or career switcher, GenO offers structured training and direct pathways into dynamic roles such as ACE, sales, consulting, and more. Ready to jumpstart your cloud journey? Explore Oracle Academy's free cloud curriculum and certifications, and check out Academy Bytes for bite-sized learning. Whether you're pursuing a career in cloud or curious about the world of presales, this episode is the perfect place to begin. Resources Mentioned: Oracle Academy : Free cloud curriculum and resources for educators and students Oracle University : Training and certification Generation Oracle Careers : Entry paths into Oracle -------------------------------------------- Episode Transcript:

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  2. 7 THG 10

    AI for Data: When Data meets Intelligence

    AI is driving a remarkable transformation throughout the industry, delivering unprecedented productivity gains and enabling rapid insights from vast amounts of data. In this two-episode season premiere, Tirthankar Lahiri, SVP of Mission-Critical Data and AI Engines, discusses how Oracle AI Vector and embedded machine learning search are harnessing the power of AI to unlock value from enterprise data, and allow developers to build sophisticated RAG and Agentic frameworks that leverage the full power of the converged database architecture of Oracle Database — including its class-leading scalability, fault-tolerance, and enterprise-grade security. Furthermore, Oracle database provides several mechanisms to make data "AI-ready" by enabling declarative data intent for AI. In this session, we will describe these techniques, and more, to explain how to truly build an AI for data solution in this rapidly changing AI landscape! ------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:34:07 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:34:09 - 00:01:03:23 Unknown I'm your host, Tara Pierce. This is the first of two episodes on AI for data when data meets intelligence. Our guest speaker is to thank Carly Harris, senior vice president for mission critical data and AI engines at Oracle. Here's responsible for the data engine for Oracle database, including areas like AI, vector search, indexing and data compression. He also manages the Oracle Times ten in memory and the Oracle NoSQL database product teams to thank her. 00:01:03:23 - 00:01:33:13 Unknown Has 30 years of experience in the database industry and has worked on a variety of areas such as performance, scalability, manageability, caching, in-memory architectures and developer focused functionality. He has 71 issued and several pending patents. A bachelor's in computer Science from the Indian Institute of Technology and a master's in electrical engineering from Stanford University. In the first episode to thank our talks about how data makes AI intelligent and how enterprises are using AI to get greater value from their data. 00:01:33:15 - 00:01:59:19 Unknown Over to you to thank her. Hi. Hey, guys. Thank you very much for joining. It's a great pleasure to be presenting AI for data. This is an exciting time in technology. AI is ubiquitous. AI changes everything. And I actually makes data intelligent. Let's talk about that today. So you know Oracle is working on AI. As many of you know, at many levels in the enterprise stack. 00:01:59:21 - 00:02:31:22 Unknown We have AI initiatives for applications, AI initiatives for services. I for data. And we're building a lot of AI infrastructure, as you seen from the news. Now I'm going to focus on AI for data. That's the focus of my presentation today. How we bring AI, the power of AI and unleash it on enterprise data. So Oracle's goal is to make AI for data extremely simple for basically everything. 00:02:32:00 - 00:02:54:08 Unknown So no matter what kind of end user you are, whether you're an expert, an AI, or a developer, or a DBA random list, every single persona should be able to leverage AI for data. We want to make it possible for all applications to leverage AI for data and benefit all workloads with the AI for data. So this is the goal that we have for AI for data. 00:02:54:08 - 00:03:25:05 Unknown Now, there's again basically two classic kinds of AI in the classical sense. So let's quickly talk about one before I get to what's new. So the traditional AI, was basically called algorithmic AI. Algorithmic here is based on machine learning models, typically non neural net designed to do predictions classifications, forecasting etc. and for data science people, you know that there's many different machine learning algorithms. 00:03:25:07 - 00:03:44:06 Unknown And these are all now available in Oracle database. So if you want you can use one of these models. This is the ever evolving list. You can use one of these models to load to first of all to train, you know, a sorry, you could use one of these algorithms. Excuse me. I keep that in the trunk. 00:03:44:08 - 00:04:05:22 Unknown These are algorithms. You can use one of these to train models and then to run inferencing using these models. So you imagine you can take, you know, linear linear regression. The algorithm used that to train a model and then applied that to data in real time to basically do predictions. So that's what in database machine learning lets you do. 00:04:06:00 - 00:04:30:18 Unknown And we've had this, capability for a while now. So what is new is something called I vector search, which is the primary focus of a presentation today. And this is newer, you know, and if this is beyond classical machine learning. So basically yeah vector search the new technology that enables searching for data by semantics rather than values. 00:04:30:20 - 00:04:54:11 Unknown The why why is this important? Because if you look at what databases traditionally do, for those of you who've been in the database field or have studied databases, databases essentially do what we call value based searches, where given a value, they can search by that value, like for instance, finding the revenue by each product. That's a very typical search you run inside of a database. 00:04:54:13 - 00:05:22:10 Unknown And they've excelled at this through various, you know, techniques like query optimization, SQL document processing, etc.. However, there is an ever increasing volume of unstructured data which you really can't search by value, but they have to be searched by semantics or meaning, like, you know, photos or images or description. Long complex textual descriptions. There's no real value that you can search those with. 00:05:22:10 - 00:05:52:08 Unknown Effectively, you need to search them essentially by their semantic content, not by the value content. For instance, finding products that match a particular photo or match a description that's not really something a database could do very well in the past. And this is a very important, an ever growing use case, because, you know, businesses need to do this today on a routine basis, forgetting about AI just in general to keep the business running in a healthy fashion. 00:05:52:10 - 00:06:25:14 Unknown There's a lot of examples of use cases where a business needs a search its data by, sort of the semantics. For instance, if you know, you have parts going into the sub line for manufacturing, the photo, the part should, quickly tell you whether that part might be defective, when customers log in to e-commerce sites, then when you browse products, so you try to check out a certain product, there is a desire from the e-commerce site to see what else they could then recommend to you in real time. 00:06:25:16 - 00:06:43:19 Unknown These are all examples. Another one is, of course, biometrics. You know, I'm coming in to the airport. I need to, you know, I go through facial recognition. They want to make sure that I'm the person I said I am when I, you know, when I submitted my visa application. So all of these cases require semantic search, not value based search. 00:06:43:21 - 00:07:11:12 Unknown And, vector searches. Exactly. That enable searching data based semantics. That's precisely what it does. And it does that using a construct primitive known as a vector, which is very simple actually. You know, if you think about this, the beauty of this is the basic concept is very easy, very simple. A vector is simply a long string of numbers that capture the semantics of much more complex data. 00:07:11:12 - 00:07:36:14 Unknown And they're produced by something I call black magic deep learning, machine learning models that take this, you know, unstructured set of data on the left, apply these complex algorithms and machine learning algorithms to that data and then outcomes a vector. It's actually incredible that this this actually works, that you can take something as sophisticated as a Picasso painting and convert that into a string of numbers. 00:07:36:14 - 00:07:59:16 Unknown That represents that painting. That's basically what a vector does. It's a string of numbers encoding the semantics. And once you do that, well, how do you then measure for similarity? The way you do that is by measuring the mathematical distance between the vectors. Now for those of you who've of course all of you are familiar with the vector concept, I'm sure from mathematics and physics. 00:07:59:18 - 00:08:22:09 Unknown Basically, vectors are points in multidimensional space, and there's many different ways to measure distance between them. You know, a simple example, a simple distance function is what we call Euclidean squared. We just take the square of the difference, the sum of the differences of each coordinate. That's a that's one distance for a function. However, there's many formula for distance. 00:08:22:11 - 00:08:45:07 Unknown And each machine learning model and each data scientist prefers a different one. Let's talk about how vectors get used in the real world. Now, if you think about, a very simple business example, I know that most of you not not, you know, business people, but most of you use products and sometimes, you know, products go wrong and you have this file, you know, ask for help from customer support. 00:08:45:08 - 00:09:10:11 Unknown Support incidents are very complex, documents, very complex entities. They involve a lot of different attributes. And typically looking fo

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  3. 29 THG 4

    Multi-tenancy in Cloud Computing

    In this episode host Tyra Peirce chats with Rolando Carrasco, an Oracle ACE Director based in Latin America. Rolando and Tyra speak about Multi-tenant cloud. What it is, what it isn't, and when it should be used. --------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:34:01  Unknown  Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students with in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce.    00:00:34:03 - 00:01:02:16  Unknown  I'm your host, Tyra Peirce. Today I'm joined by our Rolando Carrasco. Rolando is an Oracle Ace director based in Latin America. He has been in the IT industry for the past 25 years, working for companies such as Hewlett-Packard and Oracle. Then in 2010, he started his own consulting firm where he is currently the CTO. His work has been focused on distributed systems, working with several integration platforms, API management tools and the cloud.    00:01:02:18 - 00:01:29:06  Unknown  He is a constant speaker at both local and global development conferences. Welcome, Rolando. Oh thank you Tyra. So to start off, can you give me a bit about your background and your current job role? Yes. Thank you Tyra. Now I'm currently the CTO for a Mexican consulting firm here in Mexico. The name is CES, and I've had this role for the past 15 to 16 years now.    00:01:29:08 - 00:02:07:13  Unknown  And as you already mentioned, my experience is focused on distributed systems. And probably, I will say, the evolution of those type of needs in terms of integration in the cloud now. And I will say that I have a mixed profile in terms of, development, if you will, and also experience on sales and pre-sales and architecture, or so I will say that I have that type of hybrid more a rosary and my experience is being focused mostly and in the Latin American region, from Mexico to Brazil.    00:02:07:15 - 00:02:32:21  Unknown  Today our focus is on, multi-tenancy and cloud computing. Can you tell me what a multi-tenancy is and cloud computing and how does it differ from single tenancy? I can say that multi-tenancy is the ability to have different organizations working separately, and that's the key. But we'll be using the same infrastructure okay. Even though they share this infrastructure.    00:02:32:23 - 00:02:57:07  Unknown  The main thing, as I said, we already mentioned is that those different organizations are isolated. They can see each other, they can see their data. And I can say that normally service providers work in this fashion. They offer their services to several gateway stations or customers. And from the infrastructure standpoint, they share the infrastructure now along all those organizations.    00:02:57:09 - 00:03:25:08  Unknown  And the difference, the difference between multi-tenancy and the single tenancy is that which single tenant, every organization use its own infrastructure. I mean, there is nothing to share between them or among them, but you need to deliver on a specific infrastructure for every single organization. So which follows on to my next question. Can you share a real world example of multi-tenant cloud implementations?    00:03:25:10 - 00:04:03:19  Unknown  Yes, absolutely. I will say that the software as a service market and the software as a service, providers and application owns most of them. And I can say that both big companies such as Oracle and small companies or even startups, they use these type of model offering these, those type of services. For example, an email application and the one that we normally use, Outlook or Gmail or any of that type of email application is a clear example of then we all have an account.    00:04:03:21 - 00:04:26:22  Unknown  The infrastructure is the same. We don't care as a user, we just use the service as its own, as it's been, offered to, to us. So, the users are not aware of that. And I will say that probably the users are not even interested in if it is a multi-tenancy or not, but all I what I was trying to I was trying sorry to explain.    00:04:27:00 - 00:04:51:19  Unknown  Is that mostly those type of SaaS applications use this model. For example, maybe you or the audience are aware of applications such as Monday.com or Bitly. The shortener, URL application, or any other type of application that you normally use that you just use and you just subscribe to it. It is so very clear example of behind the scenes is working in a multi-tenancy fashion.    00:04:51:21 - 00:05:15:22  Unknown  That actually makes sense. The Bitly one makes sense to me because I've used it before. And same with like my email. My email. Programs. I understand how that would work. Like, you access it one way, but you might be touching multiple clouds. So that's that's actually really, really fascinating for me. So on to my next question. Why do organizations choose a multi-tenant architecture over a single tenant one?    00:05:16:00 - 00:05:45:22  Unknown  I will answer that in two ways. And the first one is for service providers. These multi-tenancy model may imply the reduction of several cost and operations because instead of provisioning dedicated infrastructure and all the consequences that it that it has, they use just one single, infrastructure and that single infrastructure is the one that they operate. They your grade and then they maintain.    00:05:46:00 - 00:06:13:17  Unknown  But at the same time they isolate the organizations as as we mentioned in, in the past questions or in the previous questions. And the second thing is for organizations who create their own software, I mean, that they are looking to create a solution. They are building, an application they will like to or free to many customers, and they need to deliver it in, in such a way that they need to reduce their own cost.    00:06:13:19 - 00:06:43:18  Unknown  Then probably they are going to choose these type of models because it is going to be not that expensive. And for example, in terms of Oracle technology, a Oracle's database is a very clear example of the unorganized organization, sorry, an organization that is looking to create an application which uses a database. But it happens that these database needs to be separated, be separated because the departments needs to be isolated.    00:06:43:18 - 00:07:10:23  Unknown  Just to give an example, this type of organization can leverage from the Oracle database technology. And in the specific the database multi-tenant option one single database engine, but multiple databases running on that very same engine. So I would say that those two things are the ones that are going to make an organization to use this multi-tenancy model that is that also makes a lot of sense to me.    00:07:10:23 - 00:07:45:09  Unknown  Like if you need to separate your databases, you want to separate your data, you want to make sure that it's controlled and then only accessible by a certain group of people. That also makes sense to me as well. Which leads to the next question how does multi-tenancy impact database management in cloud applications? I will say that it reduces the complexity of managing different databases with a whole set of infrastructure, because if you think about it and you have separate databases, then you need probably different persons to manage those different layers.    00:07:45:11 - 00:08:10:14  Unknown  So in the Oracle database multi-tenancy model or in a database dependency model, it is just one single infrastructure. So you reduce the number of persons or the team that is managing the infrastructure. The second thing is the streamline is streamlining the database provisioning and the provisioning, because you just need to take care about let me say it in this way just as database.    00:08:10:14 - 00:08:38:22  Unknown  So for it that's that's the there's the thing that you need to manage and you need to deploy or, or provision or the provision instead of the whole infrastructure. The third thing is to consolidate the database management. You are consolidating in a single group of persons and sometimes it is just one single DBA. You leave me managing different databases with, you know, very same infrastructure or the very same infrastructure.    00:08:39:00 - 00:09:07:01  Unknown  You can also consolidate database monitoring. So you have a single glass of pane if you will, where you can check the different databases that you are running in this multi tenancy model, instead of having separated monitoring tools or monitoring applications, working on top of these different databases, you have one single glass of paint on modeling of new organization.    00:09:07:01 - 00:09:29:05  Unknown  You will be easier because you already have the infrastructure. You just need to provision the database for this new department or organization and probably already mentioned it, but I think is is okay to repeat it to reduce the number of DBA is managing all that infrastructure. I like that, I like that it's all about streamlining and making sure that they you don't need as many resources.    00:09:29:06 - 00:09:48:01  Unknown  Managing certain types of things like the DBA is can go out and expand into doing different types of work. And it's that's a little bit more interesting. Or you have like a, a person that is just an expert in one area, which I think  is kind of helpless. You can spread your resources out and make them a little bit more nimble and flexible.    00:09:48:01 - 00:10:21:21  Unknown  So

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  4. 18 THG 4

    What is a Data Center?

    In this episode host Tyra Peirce speaks with Oracle development data center manager Ryan Lucas. Ryan tells Tyra about the key components of a data center, and what it takes to run a data center. --------------------------------------------------------------- Episode Transcript:  00:00:00:00 - 00:00:34:09  Unknown  Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps our next generation's workforce.    00:00:34:11 - 00:00:58:17  Unknown  I'm your host, Tara Crockett Pierce. In this episode, I speak with Oracle Data Center manager Ryan Lucas. Ryan breaks down the basics of data centers what they are, how they work, and why they're essential for empowering your favorite streaming services to securing business critical data. So far to securing business critical data. Data centers are the unseen force behind modern technology.    00:00:58:17 - 00:01:27:03  Unknown  Welcome, Ryan. Thank you. Thanks for having me. So go ahead and start off. Ryan, can you give me a little bit about your background and your role at Oracle? Yeah. So I first started working as a system administrator, for the Java group at Sun Microsystems back in 2002. My responsibilities included deploying and maintainingsystems, like Solaris, Linux, and even windows servers.    00:01:27:05 - 00:02:03:20  Unknown  And I would also troubleshoot network, software and hardware issues. Eventually my responsibilities included backing up important files like source code for the Java Development Kit or otherwise known as JDK. I've been at Oracle for 16 years. Yeah. So in my current role, I help manage labs that, are essentially on-premise data centers. They may not be as large as something you would see like an on OCI site.    00:02:03:22 - 00:02:33:11  Unknown  But the labs that I support, they when you're inside them, they look like data centers. And we, they basically are used to to test Oracle engineered systems. So my group we help provide local support for the engineers of Oracle Engineered Systems. We have systems that have been released to the public. And we have systems that have not been released to the public.    00:02:33:13 - 00:03:01:03  Unknown  And so what we  are responsible for, you know, deploying, maintaining, keeping these servers running and helping create testing environments so that engineers can make sure that the engineered, that their hardware works as advertised. And then, sometimes even after hardware has been released, if a customer has some kind of concern, we may have to recreate their environment in our lab.    00:03:01:09 - 00:03:21:06  Unknown  Well, I call it lab, but it's a data center. And that way, we can try to discover if the customer's having a lot of times the customers having an issue because it's a customer error. So, you know, maybe the customer is trying to use our hardware in ways that we hadn't, you know, thought about or wasn't really designed for.    00:03:21:08 - 00:03:47:03  Unknown  But, yeah, eventually there will be some issues that we have to work through. And, and so it's it's very dynamic. So a typically like a, like an OCI production data center, you know, that is very structured. You know, all the cables are pristine a specific length. You know they push they push a new rack of servers into a gridlock station.    00:03:47:05 - 00:04:11:16  Unknown  It's there for the life of the of the rack. You may they have a field engineer come in and service some hardware, but then after it's decommissioned, they roll it out and they put in a new server. But in my in my group, we are constantly moving things around to recreate environments. It's very dynamic, very different. But it also makes it the challenge makes it very fun as well.    00:04:11:18 - 00:04:45:09  Unknown  So Ryan, kind of with that really cool introduction and background, what is a data center and what are its core components? Gotcha. Okay. So I'm going to read a formalized explanation. Just so I don't ramble off or get too technical. And then I'm going to talk about some things in my own words. So a data center is a physical facility to house a group of networked computers, servers for the remote storage, processing and distribution of data.    00:04:45:11 - 00:05:07:23  Unknown  A data center provides security, physical space, power, and cooling for racks of servers and network equipment. Those are the core components. But let me let me just I think I was trying to imagine what it would be like for someone who's never been in a data center to try to grasp the magnitude of scale that is a data center.    00:05:08:01 - 00:05:35:09  Unknown  You know, like you're if you're at home and you have your home computer, maybe it has a gigabit Ethernet port, and maybe you connect to the internet with with one internet service provider and your speed, you know, depending on what you're paying, is your bandwidth isn't huge, right? It's so hard, I think. Had I not had the experience I have, it's can be very difficult to try to imagine what a data center is capable of.    00:05:35:11 - 00:05:56:18  Unknown  It's kind of like if I were, you know, I'm driving a car and trying to imagine what it's like to drive a Formula One car, but that's not even a good analogy because it's not even a formula One car. It's a fleet of Formula One cars in each of them. Each of my racks, we have switches that can process 100 gigabits per second, 100 gigabits per second.    00:05:56:20 - 00:06:32:23  Unknown  And between each of our data centers, each of our labs, we have switches that are can process 400 gigabits per second. There's switches out there that will do 800 gigabits per second. Then there's probably even switches beyond that that I'm, you know, not familiar with yet, but so it's really hard for someone who, when you talk about the scale of what is involved and what these data centers can do and how much planning and organization goes into building them and running them, it's it can be a little hard to comprehend, you know, but it makes it fun, right?    00:06:32:23 - 00:06:56:22  Unknown  I mean, that's one of the reasons why I love my job is because I get to to work with, work with, and touch hardware that is just sometimes blows my mind. I also think about Oracle probably has some of the most advanced data centers in the world, just based on what we do as well. So like this is like the Rolls Royce of like and the Maserati of data centers and what we do every day.    00:06:57:00 - 00:07:22:08  Unknown  Which leads me to my next question. What are the different types of data centers? Right. So I was thinking back to some of my early days when I was at CERN, and I can remember someone telling me that one of the early developers of MySQL or MySQL had a server under his kitchen table. I can't even imagine what I mean.    00:07:22:10 - 00:07:40:02  Unknown  It probably was I'd like a desktop PC or a workstation. It wouldn't have even been a server because that would have been too loud. But if you think about what what happens if your power goes out or if your internet service provider goes out, there goes, you know, so I, I don't know if that's true or not. I just remember somebody telling me about being blown away.    00:07:40:04 - 00:08:11:00  Unknown  But, so you there's some companies that have, on premise, you have an on premise data center. So that's like, if I want to do all the heavy lifting myself, you know, so I'm going to build the data center. I'm going to have a facilities group that is responsible for providing power and cooling. And then I'm also going to have my own teams, you know, like system administrators, network administrators to support all the hardware in that lab.    00:08:11:02 - 00:08:39:09  Unknown  And then, you know, you're also responsible for making sure you have, you know, connections to the theinternet backbone. There's there's a lot involved. So, so on premises, if some, you know, you're a company and you want to control, have that data center managed by you, then there's something called co-location or colo. And what a colo is.    00:08:39:09 - 00:09:08:16  Unknown  And then you have like a third party and they specialize in the planning and the building of the data center. They provide the cooling and, the power and you, the different companies, different corporations or different entities, they can rent space, like maybe you'll rent a floor or you'll rent a cage. And they're also responsible for the security.    00:09:08:18 - 00:09:36:06  Unknown  So I know at colo facilities, you know, they'll have retinal scanners, they'll have man traps. I've been to data centers where they have armed guards, where they have conference rooms that generate, like, white noise. So if you're in a conference room and you're trying to have a private conversation and somebody walks by, they can't overhear you, you know, now, not that anybody would be trying to listen in on your conversation.    00:09:36:06 - 00:10:06:04  Unknown  But if you know, if you're with the NSA or something, you want to make sure that nobody can overhear sensitive information. So it can be very cloak and dagger. So yeah, that's that would be one concern. If you'reat a Colo facility a

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  5. 1 THG 4

    How to Become an AI Data Engineer

    Do you want to be a data engineer? In this episode, host Alba Joven speaks with Oracle Autonomous Database specialist Javier de la Torre Medina about what it takes to become an AI data engineer. Episode Transcript: 00:00:00:00 - 00:00:34:15 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy, tech chat where we discuss how Oracle Academy prepares the next generation workforce.   00:00:34:17 - 00:00:57:14 Unknown I'm your host, Alba Joven. And in this episode, I'm joined by Javier de la Torre Medina, an Autonomous database specialist at Oracle. Today, Javier and I will be talking about how to become an AI data engineer. Welcome Javier. Thank you very much Alba a pleasure to have you today here on this nice chat. Javier before we dive in   00:00:57:15 - 00:01:20:15 Unknown Can you tell us a little bit about what's your background and what's your role at Oracle? Sure. So I have it already at Oracle 13 years ago so when I when I joined and having working a lot of positions and all of the data related. So I'm working as a big data specialist, a NoSQL specialist, Oracle database specialist.   00:01:20:17 - 00:01:44:11 Unknown So always having, working to, to help customers to build data architectures and solution which has the best approach. So to help them to, get the best value of the data. So normally my day, I do workshops to show the technology and demos to show it live, architecture diagram. I also I do a lot of proof of concepts.   00:01:44:13 - 00:02:07:17 Unknown That's to, to help them to, to build the solution that their looking for. So at the end, I always been, data related, but now I have a special focus with, autonomous database, which is our, product right now in the, in the markets. I understand that you are an expert in, you know, autonomous database for those who may not be familiar what exactly it is and why is such a game changer?   00:02:07:19 - 00:02:35:15 Unknown They are markets perception that Oracle is difficult. And you need a lot of gears and expertise. In order to start using this technology. And this is our game changer because we provide the Oracle database as so some access, an ERP or a CRM. But for the technology point of view it's access, because the idea of the goal of Oracle is you can start working directly with the data and forget about everything.   00:02:35:17 - 00:02:58:05 Unknown So Oracle automatically is in charge of putting the data is in charge and doing backups is in charge of doing all this kind of, of activities. And that's why I suddenly changer. Because so also one of the good thing is that there is a lot of configuration already done. So the idea is that you don't need to be an expert in Oracle in Uni in order to start using it.   00:02:58:07 - 00:03:18:07 Unknown Even if you left the university tomorrow, you can start using, create great applications, AI application that we'll talk later about it in a matter of minutes. And this is where the business see value because even in the, in the AI space. So we see that every day this a new something is changing or something is happening.   00:03:18:09 - 00:03:40:11 Unknown So to be up to date or to be able to adapt these new changes into your application or the business is very important. So that's why is the key difference from from there or a game changer for the autonomous database. Also, one of the key things is that, we're going to talk about this concept of data engineer.   00:03:40:13 - 00:04:00:16 Unknown So I think normally when we talk about the Oracle database, we are talking about database administrators. But this concept I think is one to disappear too. And data engineers. But the good things or if someone is a DBA and is listening to us is that the knowledge to do have is still is great because you need to work with the data you need to create.   00:04:00:18 - 00:04:23:09 Unknown Move the data you know the form of the data. So on this value you can use it is still as a data engineer there. But you can forget about all these tedious talks about patching, backups, upgrades or all these things that doesn't provide value. And normally it's a stopper to to innovate on the DBAs or not, the data engineers can, benefit about all these new capabilities.   00:04:23:09 - 00:04:42:22 Unknown The autonomous database is going to provide. You have mentioned the role of AI data engineer quite a bit. Can you explain how Oracle has achieved this role? So before going into the AI engineer, let me explain. What is a data engineer? If someone is coming from a DBA or have seen Oracle has only a database point of view.   00:04:43:00 - 00:05:03:03 Unknown So I was mentioning. So one of the goal of the Oracle with the autonomous database is to focus only on the data, which is really important. But also there is a concept that we call in the autonomous database is the convert data model. So that means that we can work with any datatype. We can work with Json, we can work with data spatial.   00:05:03:09 - 00:05:26:23 Unknown We can work with a relational. We can work with graph data. It doesn't matter. This is very important because many companies want to be a data driven company but become they become data movement company. So they move data from one product to another product. And then when the business came, I need a report by one yesterday I need to buy yesterday.   00:05:26:23 - 00:05:52:01 Unknown No, there was too late. No. And this is one of the benefits that Oracle has to to be able to avoid to move data. Unless you don't need it. But also we have, great graphical interface which is called Data Studio. So I was mentioning you before that even if you left the university, today, tomorrow you can start using the autonomous database and you can become a data engineer.   00:05:52:03 - 00:06:13:18 Unknown And this is because this suite of tools which are included for free, it is something very, very important with the autonomous database, allow us to go through the life cycle of the data engineer. So the lifecycle of a data engineer has three main stages, which is load data from a source of data transform the data will be data quality and reach it and so on.   00:06:14:00 - 00:06:36:16 Unknown And then to serve it as maybe we need to serve it to a BI person who has to, prepare a report for their business. Maybe you want to serve it with an internal application because we need it for HR, marketing or so on, or even including application for third parties. So this is really very important. And all these three stages are very important from a data engineer.   00:06:36:16 - 00:07:06:04 Unknown And you can achieve it very easily with a graphical interface which is called the the, the data studio. And what we say the I know with artificial intelligence. AI is transforming every industry. But what exactly is an AI data engineer. So have been talking about data engineer. So the AI engineer go a bit farther now, something that, I see, and I hear a lot is like a AI is not going to take your job, but someone who will use it.   00:07:06:04 - 00:07:28:18 Unknown Wait. So this is very, very, very important because this is going to boost productivity. But even if it boost productivity is very important to check what the AI is suggesting because it's not going to do all the job for for us. So this is very, very important. And also in the data studio, we have included, a lot of AI features that anybody can can use.   00:07:28:20 - 00:07:49:00 Unknown But something that I would like to highlight is that all the AI features that are included are open. So it means that I can work with any level in the market. You know that tomorrow, today, open AI is really cool, but tomorrow we have a three and then we have the IPsec and they're everywhere. Is, is is changing now.   00:07:49:02 - 00:08:10:01 Unknown So something which is very important is to say, okay, from a business point of view, I want to take this technology and use it as soon as possible. But I don't want to change all the processes that I have underneath. If you have to adapt or develop something every day, you will never get anything to production or anything useful no   00:08:10:03 - 00:08:26:17 Unknown And that's why in the database we are able to connect to any, and we are able to suggest or to work in order to improve this kind of pipelines or data load and all this kind of features that we like to highlight, you know, so this is very important.   00:08:26:19 - 00:08:50:17 Unknown I mean when we boost their productivity. But then the AI engineer go a bit farther because also on top of that we have the load transform on serve that I was mentioning before. The AI can do more things. One thing is to create synthetic data or fake data. Imagine that they have to create an application for an internal marketing department.   00:08:50:19 - 00:09:14:23 Unknown So I can use AI to generate the data model to generate the fake data. And the developer going to start working tomorrow directly. So this boost the productivity I don't have to worry too about, all these things are going to be a quickie. And also something that we can use in the autonomous database, which is very popular easily. We can work with that vector, database because the vector is a datatype is inside the autonomous database.   00:09:15:01 - 00:09:40:22 Unknown So, anybody is not familiar with the vector is that we provide is the information we provide to the NLM in order to provide, more, business related, answers. For example, we have PDFs, I have Excel. I have a lot of information, pictures that I want my NLM to hel

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  6. 18 THG 3

    Bridging the Digital Divide: How Oracle Academy is Transforming Technology Education in Africa

    In this episode host Bekere Amassoma speaks with Annick Sakho, Director, Government Affairs Africa about today's rapidly evolving digital landscape and how access to technology education is a crucial factor in driving economic growth, innovation, and job creation. ---------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:35:11 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to Oracle Academy Tech Start, where we discuss how Oracle Academy prepares the next generation's workforce.   00:00:35:13 - 00:00:59:17 Unknown I'm your host, Bekere Amassoma. In this episode, I am joined by Annick Sakho who is Director of Government Affairs Africa in Oracle. So Annick to start off. Thank you for joining us. And can you share a bit about your journey into technology, how you got into Oracle and your current role as Director of Government Affairs for Africa?   00:00:59:22 - 00:01:24:01 Unknown A big hello to you, Bekere, and thank you for inviting me today. It's a real pleasure to be here with you to discuss Oracle Academy in this, podcast. Thank you for the opportunity. So I am currently the Oracle Government affairs in charge of Africa, and I am based out of Abidjan in Cote d'Ivoire, in the Oracle Cote d'Ivoire office.   00:01:24:03 - 00:02:05:17 Unknown So, you asking me about how I got into Oracle? Well, I started my career as a research and development engineer in a telecommunication company in Switzerland because I hold a telecommunication engineering degree. And later on, I joined Cote d'lvoire and joined IBM at the time when companies were starting to implement remote access to their mainframes and other computers. So, IT companies were actually in need of people who understood telecommunication to configure all these controllers and protocol, etcetera, to establish, stable, secure, remote connection.   00:02:05:19 - 00:02:42:20 Unknown And this is how I got into technology, because remember at those time, originally remote access was, about dialing up on the phone and having a modem to allow employees to connect to an office, network of telephone networks. And, since I joined technology using my telco skills, I stayed there, and my journey started a very fulfilling one, I would say, where I held, initially a pre-sales role before transitioning into a sales role.   00:02:42:22 - 00:03:11:21 Unknown I've been with Oracle almost 20 years now, and, New Year has been the same as the previous one because I was privileged to work with customers in different industries located in various regions across Africa, selling innovative solutions to support their business. And the most enriching part was the opportunity to work in a multicultural environment. To progress to a managerial role and then to lead virtual tips.   00:03:11:22 - 00:03:37:04 Unknown So when I was leading the technology cloud sales team across sub-Saharan Africa a few years ago, I realized that a lot of governments were not familiar with cloud technologies, not even with Oracle solution portfolio. However, we knew that governments have a crucial role in supporting the regulatory environment and the adoption of these technologies in the local digital economy.   00:03:37:06 - 00:04:17:00 Unknown And this is one this is, the reason why when the director, Government Affairs Africa position opened, I applied. This is what led me to, being today the government office director for Africa. In this capacity, I lead and coordinate Oracle's engagement with the African government officials and the various stakeholders like the NGO, the trade union, the industry associations, etc. and working closely, on the other hand, with Oracle Senior Management in Africa and Oracle Global Business Units.   00:04:17:02 - 00:04:51:13 Unknown And part of my responsibilities include educating government officials about our company, about our industry and more generally, about technology. Wow Annick that's quite interesting and thank you for sharing. Now how would you describe the current state of the digital divide in Africa's education sector? Interesting question. Africa's digital transformation journey is marked by significant challenges that require, strategic intervention to overcome.   00:04:51:15 - 00:05:29:03 Unknown And one of the critical areas that needs attention to ensure that the continent can fully leverage digital opportunity. Revolves around digital skills. With 70% of Africa's population under 30. There is a pressing need to reform education systems and to align with our industry needs. And, traditional education, from what I see it often does not equip young people with a skills demanding by the tech industry because we have not been able to, revovle in terms of curriculum.   00:05:29:05 - 00:06:02:19 Unknown And this leads to a mismatch between education and employment opportunities. So the digital divide in Africa's education sector remains a significant challenge, particularly at the university and high school levels, because this is a last stage before going into the workforce and before applying for jobs. While, digital transformation is accelerating globally. Many African students still face barriers to accessing quality tech education for various reason.   00:06:02:21 - 00:06:35:23 Unknown Inadequate infrastructure, limited internet connectivity, lack of appropriate training, and the lack of access to quality tech education and relevant training program impede the development of digital competency among the students. And additionally, we can also see that we have disparities between urban and rural areas where limited access to technology into the spread of digital and computing skills and, remote reach.   00:06:35:23 - 00:07:08:01 Unknown This gap limits the ability of African student to compete in an increasingly technology driven job market. The World Economic Forum had just released their report on jobs, The Future of Jobs 2025, and it really showed that the jobs will transform, and we need to be equipped to have a chance to thrive in this new environment. Companies today, they are not hiring young people based on the traditional degrees alone.   00:07:08:03 - 00:07:48:04 Unknown They hire them based on skills. This means that, you know, so should certification programs. The, certificate that they can earn will demonstrate how skilled they are. And they have now more values than having a bachelor's or a master's degrees in many cases. And knowing that, Africa has a young population, we need to have a reform of our education system to adequately equip young people with the skills needed for the digital age.   00:07:48:04 - 00:08:26:11 Unknown And this is, concern more and more, countries, being conscious about and are working towards changing things. Well, I will say that we need to democratize education and the access to digital education. And for that, we need to focus now on upskilling or reskilling our youth to bridge the digital skills gap, ensuring that our young population is prepared to participate in and to drive the digital economy.   00:08:26:13 - 00:08:56:00 Unknown Addressing this skill gap is essential for the continent's digital future. So as a conclusion, I would say that, we need to foster digital literacy and practical tech skills. Otherwise, the next generation of African professional will not be in a position to compete in a global environment, and they need to be empowered to drive economic growth and innovation across our continent.   00:08:56:06 - 00:09:38:18 Unknown This is very important. Thank you very much Annick. Well said. Now to the next question. How do you see Oracle Academy's overarching mission in Africa, and how does it align with global efforts in tech education? I had the opportunity to engage with Oracle Academy in, different African countries, and I could see the impact. Oracle Academy's mission in Africa is to democratize access to technology education by providing free, high quality computing resources, curricula and training both to the students and the educators.   00:09:38:20 - 00:10:18:10 Unknown Oracle Academy helps to bridge the digital divide because it helps equipping student and educator was essential digital skills, and by doing so, it aims to equip young Africans with the digital skills needed for the modern workforce, particularly in high demand fields such as software development, artificial intelligence, cloud computing. This mission aligns closely with global efforts in tech education, which focus on closing the digital skills gap, promoting Stem learning, and fostering innovation driven economy.   00:10:18:12 - 00:11:04:17 Unknown And when we talk about Stem learning, I would like to also stress the opportunity it gives to women and young female students to have access to technical, education, because I'm a big fan of promoting Stem for the young girls for them to, really get interest into this, subject. So, in Africa where, internet penetration and digital infrastructure are still developing, Oracle Academy plays a crucial role in bridging the digital divide that were mentioned earlier by collaborating with universities, high schools, government institutes.   00:11:04:19 - 00:11:34:18 Unknown It supports curriculum enhancement, teacher training and practical learning opportunities because we have we are giving access to students and teachers to a hub where they can find all the resources to be really educated and trained to the latest technology. And these ensure that Africa's youth is not left behind in the global digital economy. So this is a, very important role.   00:11:34:20

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Oracle Academy, Oracle's global philanthropic education program brings you Oracle Academy Tech Chat where we discuss how Oracle Academy helps prepare the next generation's work force. In this podcast Tyra Crockett, Senior Manager Oracle Academy North America, interviews experts across the Oracle ecosystem about their experience and advice for educators and their students.

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