쉐도잉 연습: What Is a Data Mesh? Databricks Unity Catalog Explained - 영상으로 영어 말하기 배우기

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to make everything is clean

and it's clear who is offering what what we're gonna do

we are back yeah to the hub a little bit

but this time this hub is marketplace what do we have

in the marketplace is the following everyone gonna announce their products into central place say hey

i offer the sales data hey i offers the hr data hey

i offer the finance data maybe not not arrows sorry for

that yeah arrows okay

so the dotted arrow means not the data gonna move to central place

this is very important to understand the data gonna stay at their places yeah

so it stays at domain a stays at domain b it stays at domain d

and so on it's just we're gonna make one gigantic catalog about the data into central place

so it is a marketplace where everyone announcing their data

i have the sales i have five tables i have 10 tables

so it's like bizarre it is very very cool

because the data analyst they just go to the marketplace

and read it

and they can understand okay the whole company how many data

do we have how many tables how many domains how the size without doing

this journey by visiting each of those domains without running around in circles to find the data

they're to go to one place and my friends she gonna find the data fast

and she gonna understand aha in order to make my reports

i need the sales data i need this i need

that i need from this and i'm gonna be able to work

but this is not only for the analyst as well for

the ai engineer for any new projects have been in the company

we know where the data is um

this is why we're gonna need a central market central place by the way

this is not anymore federated i just introduced you to the data mesh

it's not anymore federated things are going to the middle

so data mesh is no more central team doing the whole thing yeah this is very clear

because we have federated we split the data by domains each domain

they're gonna do the whole thing alone we're gonna have data as a product

that means we're gonna have documentations i'm gonna explain more what is data as a product

because it's way more than that

but we're gonna have each domain

they're gonna make a catalog about their data into central place the marketplace

they're gonna document it they have a product owners

and everything is like systemized and documented with high quality

and all those stuff so the data mesh concept says again physically each domain gonna have

that data they're gonna own the data at their own place

they never go to the central place they never go to the hub

they never go to the central lake house they're gonna stay at

that department at the domain physically gonna stay at the domains

but we're gonna make a virtual place where the whole metadata of the whole company gonna be described

so that if auditor comes they can read the marketplace

if a new developers comes to the company they're gonna go to the marketplace

if any news gate new data use case happen to the company we start from the marketplace

and understand it this picture it is not only the companies

that understood it who understood this as well it's always the data Databricks.

They are very, very up to date with all pains of companies.

This is amazing, really.

I'm not trying here to sell anything, okay?

I'm not sponsored or something from Databricks.

I'm just trying to say here.

Databricks came and understood, oh, companies are moving to this.

How about I'm gonna offer something similar to this?

I would like, like, because Databricks stopped us here.

Let me just take the icon.

Now, I'm breaking a little bit the vendor, okay?

But it is not that important.

Now, Databricks at the start stopped at here and said, hey, you can make

Spark, you can make lake houses.

It's the best thing.

And they start selling this like crazy.

But they saw this is happening.

Companies are making multiple lake houses left and right, and they're going to need something called marketplace.

And now if you are learning Databricks, you're going to understand the origins of the Unity Catalog.

Unity Catalog is made for this is made in order to

make data mesh concepts in order to make domain -driven architectures

this is what we call domain you're gonna hear a lot

if you go as an architect people are making domain oriented

or domain driven architecture

and this is exactly what we mean at the data world we say data mesh

and now the vendor databricks join this picture

this is exactly what they are trying to sell for the companies yeah i have some doubts about it

but it's working

but not for big companies yeah let me just explain where that's why two years ago yeah

i was making my projects

and then suddenly i've seen something called catalog yeah the catalog yeah the unity catalog

they introduced the unity catalog who knows the unity catalog data bricks had something similar like a marketplace

but it was not a marketplace

it was just a database catalog for your project just only for you for your project okay

and they called it the hive metastore it's legacy name you will not find it

but i'm just telling you the story about it they have like some kind

it looks like a database okay you are you are you are looking at the unit catalog

but it was only for you for your projects and They switch the whole thing to a marketplace.

So you see here, it's called my organization.

Well, maybe in big companies, it's going to be like the company's name.

And you will be able to browse not only your projects, but you're going to find as well all the catalogs of the whole company.

Now, I cannot show you the example because I have here only one example.

So imagine here, I'm going to see inside my organization, maybe 30 catalogs, the sales, after sales, the manufacturing and all those stuff so

that means they made this local catalog

that is available only for a project they made it only visible for the whole company

and this is what suddenly i was like working towards

and this happens to my project i was working at my project

and i saw only one catalog this is my catalog

and i'm doing the server bronze gold and i'm building the warehouse

and then in the next day i was not following the news i opened my catalog

100

and i saw 200 catalogs that's all because suddenly i'm able to see the whole company catalog.

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They turned each local instance or each local project into like a global catalog that is available for everyone.

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So everyone was able to see my projects and I am able to see everyone else's projects.

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So that means if you are working in Databricks, this is the Unity catalog, my friends.

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And with that, we just, I don't know, I think they did cost them a lot of work they just turned the local catalogs

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that each project have into a global one

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and they solved this issue with the data mesh

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and that's exactly why we have now something called unity catalog

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this is exactly the reason behind it they want everyone to be able to access everyone

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or let's say everything should be visible for everyone else this is still issue the thing is the vendor, they are trying to, yeah,

110

to sell us this idea, which is amazing, I think.

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But this is going to work, yeah, I'm going to say only if everyone is working in Databricks, right?

112

So if everyone is in Databricks, this is going to work because they're going to share their stuff to the middle, right?

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Now, if a company gets, I don't know, sophisticated and they do things outside of catalog,

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this is going to be challenging to make the Unity Catalog as a central place.

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They try it's like there's some work around and stuff

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but they it could work of course but

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if the company have like on -prem solutions

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if one domain is not working at all in the cloud

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if other is using i don't know yeah azure we have azure stuff fabric

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if the company is not clean about that platform strategy

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and they allow multiple platforms then sadly this will not work that's why in some companies,

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if they are big enough to say Databricks is not enough for them, they have to make their own catalog.

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Like at the end, I'm going to show you a few examples.

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I have made some with Claude.

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I'm just prepared a few visuals for you.

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Yeah, I don't have your catalog icon.

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Let's bring this here.

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So the company should then develop their own marketplace for this.

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So my friends, this is very cool to understand what is a data mesh

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and how our data is turning into something called products

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so it is not anymore this picture where you have central data engineers just prepare the data

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and give it the world is getting bigger

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we are getting a lot of new things

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we are focusing on only on domains we have yeah the product owners

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we have a marketplace for data yeah

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we are transitioning to this domain driven architecture

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i'm really happy with this yeah it's like one of the best i'm gonna say

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so far best practices on how to do it i love

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this idea to have the metadata data into stored into one place

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and as well to have the domains spread

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it around don't store anything centrally for big companies it will not work

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and yeah those discussions again happens at the elite level of the architect the principal architects

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and let's say the big managers the data officers and stuff like

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that so it's not something that we decide at our level level

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but if you hear about it if you join a company

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or something that they are doing domain you should know about the structure

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and it is relevant for you as a data analyst and stuff like that.

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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “What Is a Data Mesh? Databricks Unity Catalog Explained”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: catalog, domain, marketplace, project, databricks. 이 영상에는 섀도잉할 문장 147개와 단어 1755개가 있습니다. 말하는 구간의 길이는 9:10입니다. 화자는 분당 약 191단어로 빠르게 말하므로 연음과 약하게 발음되는 소리가 많습니다. 단어의 85%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
catalogue 명사	/ˈkæt.əˌlɔɡ/	목록, 카탈로그
unity 명사	/ˈjunɪti/	단결, 단일
mesh 명사	/mɛʃ/	그물
architecture 명사	/ˈɑː.kɪˌtɛk.t͡ʃə/	건축, 건축학
arrow 명사	/ˈæɹəʊ/	화살
architect 명사	/ˈɑɹ.kɪˌtɛkt/	설계자, 계획자
vendor 명사	/ˈvɛn.dɚ/	판매인, 판매자
visible 형용사	/ˈvɪzɪb(ə)l/	보이는
introduce 동사	/ˌɪntɹəˈdus/	소개(紹介)하다
database 명사	/ˈdeɪtəˌbeɪs/	데이터베이스
announce 동사	/əˈnaʊn(t)s/	발표(發表)하다, 공포(公布)하다
icon 명사	/ˈaɪ.kɑn/	이콘, 성상
gate 명사	/ˈɡeɪ̯t/	문, 대문
cloud 명사	/ˈklaʊ̯d/	구름
server 명사	/ˈsɝvɚ/	서버, 봉사기

따라 말해 볼 만한 문장

영상에 나오는 짧고 완결된 문장으로, 일상 대화에서 그대로 쓸 수 있습니다:

I'm not trying here to sell anything, okay?
I'm just trying to say here.
How about I'm gonna offer something similar to this?
I'm just prepared a few visuals for you.

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	have been · have federated · i've seen
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	be described · is made

주의할 발음

화자는 gonna, I'm, they're 같은 축약형과 약화된 형태를 68번 사용합니다. 들리는 대로 짧게 발음하세요.

“sh”와 “zh” 소리: mesh /mɛʃ/, transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, azure /ˈæʒɚ/
긴 단어 — 강세 위치에 주의: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, metadata /ˈmɛt.əˌdeɪ.tə/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: physically /ˈfɪz.ɪ.kli/, fabric /ˈfæb.ɹɪk/, federate /ˈfɛdəɹeɪt/
/v/ — ㅂ(/b/)과 구별하기: vendor /ˈvɛn.dɚ/, visible /ˈvɪzɪb(ə)l/, server /ˈsɝvɚ/, solve /sɒlv/, virtual /ˈvɜɹt͡ʃuəl/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: visible /ˈvɪzɪb(ə)l/, physically /ˈfɪz.ɪ.kli/, transition /tɹænˈzɪʃ.ən/, bronze /bɹɑnz/, bizarre /bɪˈzɑː(ɹ)/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, catalogue, unity, mesh 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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쉐도잉 연습: What Is a Data Mesh? Databricks Unity Catalog Explained - 영상으로 영어 말하기 배우기

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