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 h