跟读练习: What Is a Data Mesh? Databricks Unity Catalog Explained - 通过视频学习英语口语

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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.

101

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

102

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

103

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

104

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

105

that each project have into a global one

106

and they solved this issue with the data mesh

107

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

108

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

109

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.

111

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?

113

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

114

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

115

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

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but they it could work of course but

117

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.

123

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.

127

Let's bring this here.

128

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

129

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

130

and how our data is turning into something called products

131

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

132

and give it the world is getting bigger

133

we are getting a lot of new things

134

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

135

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

138

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

142

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

143

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

144

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

145

but if you hear about it if you join a company

146

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

147

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

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本课的词汇与口语要点

这节口语课以视频“What Is a Data Mesh? Databricks Unity Catalog Explained”为素材。视频中反复出现的词有：catalog, domain, marketplace, project, databricks。这段视频共有 147 个句子、1755 个单词可供跟读。讲话部分时长为 9:10。说话人语速较快，每分钟约 191 个词，会出现较多连读和弱读。 85% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。

视频中的重点词汇

视频中 15 个值得学习的单词，附发音和释义：

单词	发音	释义
catalogue 名词	/ˈkæt.əˌlɔɡ/	目錄 /目录
domain 名词	/ˌdəʊˈmeɪ̯n/	領域 /领域
marketplace 名词		草市, 市井
unity 名词	/ˈjunɪti/	統一 /统一
mesh 名词	/mɛʃ/	網孔 /网孔
architecture 名词	/ˈɑː.kɪˌtɛk.t͡ʃə/	建築 /建筑, 建築學 /建筑学
arrow 名词	/ˈæɹəʊ/	җян, 箭
architect 名词	/ˈɑɹ.kɪˌtɛkt/	締造者 /缔造者, 創造者 /创造者
vendor 名词	/ˈvɛn.dɚ/	賣主 /卖主, 賣家 /卖家
visible 形容词	/ˈvɪzɪb(ə)l/	看得見 /看得见, 可看見的 /可看见的
introduce 动词	/ˌɪntɹəˈdus/	介紹 /介绍, 紹介 /绍介
database 名词	/ˈdeɪtəˌbeɪs/	數據庫 /数据库
announce 动词	/əˈnaʊn(t)s/	通告, 公布
icon 名词	/ˈaɪ.kɑn/	聖像 /圣像
gate 名词	/ˈɡeɪ̯t/	門口 /门口, 門 /门

值得反复跟读的句子

视频中简短而完整的句子，可以直接用在日常对话里：

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.

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	have been · have federated · i've seen
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	be described · is made

需要注意的发音

说话人用了 68 次缩略和弱读形式，例如 gonna, I'm, they're。请按听到的简短形式来说。

“sh” 和 “zh” 音: mesh /mɛʃ/, transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, azure /ˈæʒɚ/
长单词——注意重音位置: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, metadata /ˈmɛt.əˌdeɪ.tə/

中文母语者容易读错的音：

/v/ — 不要读成 /w/，上齿轻触下唇: vendor /ˈvɛn.dɚ/, visible /ˈvɪzɪb(ə)l/, server /ˈsɝvɚ/, solve /sɒlv/, virtual /ˈvɜɹt͡ʃuəl/
词尾辅音 — 要读清楚，后面不要加元音: catalogue /ˈkæt.əˌlɔɡ/, mesh /mɛʃ/, architect /ˈɑɹ.kɪˌtɛkt/, analyst /ˈænəlɪst/, introduce /ˌɪntɹəˈdus/
/r/ 和 /l/ 的区别: virtual /ˈvɜɹt͡ʃuəl/, centrally /ˈsɛnt.ɹə.li/

如何用这段视频练习

先完整听一遍视频，不要开口，记下不认识的单词。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 catalogue, domain, marketplace 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →

跟读练习: What Is a Data Mesh? Databricks Unity Catalog Explained - 通过视频学习英语口语

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