シャドーイング練習: What Is a Data Mesh? Databricks Unity Catalog Explained - 動画で英語スピーキングを学ぶ

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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?

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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.

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

136

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

139

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

140

and as well to have the domains spread

141

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

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

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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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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「What Is a Data Mesh? Databricks Unity Catalog Explained」を教材にしています。繰り返し出てくる語は次のとおりです：catalog, domain, marketplace, project, databricks。この動画には、シャドーイング用の文が147文、単語が1755語あります。音声の長さは9:10です。話す速さは速く、1分あたり約191語です。音のつながりや弱く発音される音が多くなります。単語の85%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
catalogue 名詞	/ˈkæt.əˌlɔɡ/	カタログ, 目録
marketplace 名詞		墟市, 草市
unity 名詞	/ˈjunɪti/	団結, 統一
mesh 名詞	/mɛʃ/	網
architecture 名詞	/ˈɑː.kɪˌtɛk.t͡ʃə/	建築, 建築学
arrow 名詞	/ˈæɹəʊ/	矢
architect 名詞	/ˈɑɹ.kɪˌtɛkt/	建築家
vendor 名詞	/ˈvɛn.dɚ/	売り手, 販売者
visible 形容詞	/ˈvɪzɪb(ə)l/	見える, 目に見える
introduce 動詞	/ˌɪntɹəˈdus/	紹介する, 引き合わせる
database 名詞	/ˈdeɪtəˌbeɪs/	データベース
announce 動詞	/əˈnaʊn(t)s/	発表する, 知らせる
icon 名詞	/ˈaɪ.kɑn/	聖像, イコン
gate 名詞	/ˈɡeɪ̯t/	門, 大門
cloud 名詞	/ˈklaʊ̯d/	雲, 雲霞

繰り返し練習したい文

動画に出てくる短く完結した文です。日常会話でそのまま使えます。

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.

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	have been · have federated · i've seen
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	be described · is made

注意したい発音

話し手はgonna, I'm, they'reなど、短縮形や弱形を68回使っています。聞こえたとおりの短い形で発音しましょう。

「sh」と「zh」の音: mesh /mɛʃ/, transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, azure /ˈæʒɚ/
長い単語（アクセントの位置に注意）: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, metadata /ˈmɛt.əˌdeɪ.tə/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: virtual /ˈvɜɹt͡ʃuəl/, centrally /ˈsɛnt.ɹə.li/
/v/ — /b/ にならないように、上の歯を下唇に当てる: vendor /ˈvɛn.dɚ/, visible /ˈvɪzɪb(ə)l/, server /ˈsɝvɚ/, solve /sɒlv/, virtual /ˈvɜɹt͡ʃuəl/
/f/ — 「フ」ではなく、上の歯と下唇で出す: physically /ˈfɪz.ɪ.kli/, fabric /ˈfæb.ɹɪk/, federate /ˈfɛdəɹeɪt/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
自分の声を録音して元の音声と比べます。catalogue, marketplace, unityなどの単語に特に注意しましょう。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: What Is a Data Mesh? Databricks Unity Catalog Explained - 動画で英語スピーキングを学ぶ

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