Prática de Shadowing: What Is a Data Mesh? Databricks Unity Catalog Explained - Aprenda a falar inglês com vídeo
Escolha um modo de prática
Cada modo abre uma sala de prática em tela cheia.
147 frases
Se as frases estiverem muito curtas ou longas, clique em Edit para ajustá-las.
1
to make everything is clean
2
and it's clear who is offering what what we're gonna do
3
we are back yeah to the hub a little bit
4
but this time this hub is marketplace what do we have
5
in the marketplace is the following everyone gonna announce their products into central place say hey
6
i offer the sales data hey i offers the hr data hey
7
i offer the finance data maybe not not arrows sorry for
8
that yeah arrows okay
9
so the dotted arrow means not the data gonna move to central place
10
this is very important to understand the data gonna stay at their places yeah
11
so it stays at domain a stays at domain b it stays at domain d
12
and so on it's just we're gonna make one gigantic catalog about the data into central place
13
so it is a marketplace where everyone announcing their data
14
i have the sales i have five tables i have 10 tables
15
so it's like bizarre it is very very cool
16
because the data analyst they just go to the marketplace
17
and read it
18
and they can understand okay the whole company how many data
19
do we have how many tables how many domains how the size without doing
20
this journey by visiting each of those domains without running around in circles to find the data
21
they're to go to one place and my friends she gonna find the data fast
22
and she gonna understand aha in order to make my reports
23
i need the sales data i need this i need
24
that i need from this and i'm gonna be able to work
25
but this is not only for the analyst as well for
26
the ai engineer for any new projects have been in the company
27
we know where the data is um
28
this is why we're gonna need a central market central place by the way
29
this is not anymore federated i just introduced you to the data mesh
30
it's not anymore federated things are going to the middle
31
so data mesh is no more central team doing the whole thing yeah this is very clear
32
because we have federated we split the data by domains each domain
33
they're gonna do the whole thing alone we're gonna have data as a product
34
that means we're gonna have documentations i'm gonna explain more what is data as a product
35
because it's way more than that
36
but we're gonna have each domain
37
they're gonna make a catalog about their data into central place the marketplace
38
they're gonna document it they have a product owners
39
and everything is like systemized and documented with high quality
40
and all those stuff so the data mesh concept says again physically each domain gonna have
41
that data they're gonna own the data at their own place
42
they never go to the central place they never go to the hub
43
they never go to the central lake house they're gonna stay at
44
that department at the domain physically gonna stay at the domains
45
but we're gonna make a virtual place where the whole metadata of the whole company gonna be described
46
so that if auditor comes they can read the marketplace
47
if a new developers comes to the company they're gonna go to the marketplace
48
if any news gate new data use case happen to the company we start from the marketplace
49
and understand it this picture it is not only the companies
50
that understood it who understood this as well it's always the data Databricks.
51
They are very, very up to date with all pains of companies.
52
This is amazing, really.
53
I'm not trying here to sell anything, okay?
54
I'm not sponsored or something from Databricks.
55
I'm just trying to say here.
56
Databricks came and understood, oh, companies are moving to this.
57
How about I'm gonna offer something similar to this?
58
I would like, like, because Databricks stopped us here.
59
Let me just take the icon.
60
Now, I'm breaking a little bit the vendor, okay?
61
But it is not that important.
62
Now, Databricks at the start stopped at here and said, hey, you can make
63
Spark, you can make lake houses.
64
It's the best thing.
65
And they start selling this like crazy.
66
But they saw this is happening.
67
Companies are making multiple lake houses left and right, and they're going to need something called marketplace.
68
And now if you are learning Databricks, you're going to understand the origins of the Unity Catalog.
69
Unity Catalog is made for this is made in order to
70
make data mesh concepts in order to make domain -driven architectures
71
this is what we call domain you're gonna hear a lot
72
if you go as an architect people are making domain oriented
73
or domain driven architecture
74
and this is exactly what we mean at the data world we say data mesh
75
and now the vendor databricks join this picture
76
this is exactly what they are trying to sell for the companies yeah i have some doubts about it
77
but it's working
78
but not for big companies yeah let me just explain where that's why two years ago yeah
79
i was making my projects
80
and then suddenly i've seen something called catalog yeah the catalog yeah the unity catalog
81
they introduced the unity catalog who knows the unity catalog data bricks had something similar like a marketplace
82
but it was not a marketplace
83
it was just a database catalog for your project just only for you for your project okay
84
and they called it the hive metastore it's legacy name you will not find it
85
but i'm just telling you the story about it they have like some kind
86
it looks like a database okay you are you are you are looking at the unit catalog
87
but it was only for you for your projects and They switch the whole thing to a marketplace.
88
So you see here, it's called my organization.
89
Well, maybe in big companies, it's going to be like the company's name.
90
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.
91
Now, I cannot show you the example because I have here only one example.
92
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
93
that means they made this local catalog
94
that is available only for a project they made it only visible for the whole company
95
and this is what suddenly i was like working towards
96
and this happens to my project i was working at my project
97
and i saw only one catalog this is my catalog
98
and i'm doing the server bronze gold and i'm building the warehouse
99
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
116
but they it could work of course but
117
if the company have like on -prem solutions
118
if one domain is not working at all in the cloud
119
if other is using i don't know yeah azure we have azure stuff fabric
120
if the company is not clean about that platform strategy
121
and they allow multiple platforms then sadly this will not work that's why in some companies,
122
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.
124
I have made some with Claude.
125
I'm just prepared a few visuals for you.
126
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
136
we are transitioning to this domain driven architecture
137
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
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.
Baixar aplicativo
Tudo o que você precisa para falar fluentemente
Pronúncia com IANota em cada frase
Prática de IPADomine cada som
VocabulárioMonte seu banco de palavras
Jogo de vocabulárioAprenda brincando
Mesmo canal
FOR YOU
Vídeo recomendado
B21
42 frases
Database vs Data Warehouse vs Data Lake | Explaining the Differences
Daily ConversationUniversity StudentsWorking Adults
C12
195 frases
Why Abu Dhabi Wants to Export Energy AI
Daily ConversationUniversity StudentsWorking Adults
C11
37 frases
How Anthropic uses Claude in Product Management
Daily ConversationUniversity StudentsWorking Adults
C11
125 frases
The Dropdown Slicer We Waited 10 Years For (Power BI)
Daily ConversationUniversity StudentsWorking Adults
C11
364 frases
Running AI Agents in Secure Sandboxes with E2B & Docker MCP | Docker’s AI Guide to the Galaxy
Daily ConversationUniversity StudentsWorking Adults
C11
275 frases
Every Networking Concept Explained In 20 Minutes
Daily ConversationUniversity StudentsWorking Adults
C11
124 frases
Agentic AI Frameworks Explained: Workflows, Multi-Agent, & Production
Daily ConversationUniversity StudentsWorking Adults
C12
4 frases
What is Event Driven Architecture (EDA)?
Daily ConversationUniversity StudentsWorking Adults
C13
68 frases
what is a database index?
Daily ConversationUniversity StudentsWorking Adults
C11
537 frases
Understand Microsoft Entra ID | AZ-104 | Episode 2
Daily ConversationUniversity StudentsWorking Adults
C11
398 frases
Sec Growth DataScience staff meeting Sep 14 2022
Daily ConversationUniversity StudentsWorking Adults
C11
180 frases
Armchair Architects: Resiliency in the Cloud – Core Patterns
Daily ConversationUniversity StudentsWorking Adults
Vocabulário e dicas de fala para esta lição
Esta aula de conversação usa o vídeo “What Is a Data Mesh? Databricks Unity Catalog Explained”. As palavras que mais se repetem: catalog, domain, marketplace, project, databricks. Este vídeo tem 147 frases e 1755 palavras para praticar shadowing. A fala dura 9:10. O falante fala rápido, cerca de 191 palavras por minuto, então espere sons ligados e reduzidos. 85% das palavras estão entre as 3.000 mais comuns do inglês; vale a pena estudar o restante antes de começar.
Vocabulário principal deste vídeo
15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:
| Palavra | Pronúncia | Significado |
|---|---|---|
| catalogue substantivo | /ˈkæt.əˌlɔɡ/ | catálogo |
| domain substantivo | /ˌdəʊˈmeɪ̯n/ | domínio |
| marketplace substantivo | mercado | |
| unity substantivo | /ˈjunɪti/ | unidade |
| mesh substantivo | /mɛʃ/ | malha |
| architecture substantivo | /ˈɑː.kɪˌtɛk.t͡ʃə/ | arquitetura |
| arrow substantivo | /ˈæɹəʊ/ | flecha, seta |
| architect substantivo | /ˈɑɹ.kɪˌtɛkt/ | arquiteto, arquiteta |
| vendor substantivo | /ˈvɛn.dɚ/ | vendedor, vendedora |
| visible adjetivo | /ˈvɪzɪb(ə)l/ | visível |
| introduce verbo | /ˌɪntɹəˈdus/ | apresentar |
| database substantivo | /ˈdeɪtəˌbeɪs/ | banco de dados, base de dados |
| physically advérbio | /ˈfɪz.ɪ.kli/ | fisicamente |
| announce verbo | /əˈnaʊn(t)s/ | anunciar |
| icon substantivo | /ˈaɪ.kɑn/ | ícone |
Frases que vale a pena repetir
Frases curtas e completas do vídeo que você pode usar na conversa do dia a dia:
- 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.
Gramática neste vídeo
As estruturas que o falante mais usa, com as palavras exatas do vídeo:
| Estrutura | No vídeo |
|---|---|
| Present perfect have/has + particípio passado — uma ação passada que ainda importa agora | have been · have federated · i've seen |
| Voz passiva be + particípio passado — o foco está no que acontece, não em quem faz | be described · is made |
Pronúncia para ficar de olho
O falante usa 68 contrações e formas reduzidas, como gonna, I'm, they're. Diga-as na forma curta, do jeito que você ouve.
- Os sons de “sh” e “zh”: mesh /mɛʃ/, transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, azure /ˈæʒɚ/
- Palavras longas — acerte a sílaba tônica: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, metadata /ˈmɛt.əˌdeɪ.tə/
Sons difíceis para falantes de português:
- Consoante final — sem acrescentar um “i” depois: catalogue /ˈkæt.əˌlɔɡ/, architect /ˈɑɹ.kɪˌtɛkt/, analyst /ˈænəlɪst/, gate /ˈɡeɪ̯t/, cloud /ˈklaʊ̯d/
- /l/ final — a língua toca o céu da boca, não vira “u”: visible /ˈvɪzɪb(ə)l/, virtual /ˈvɜɹt͡ʃuəl/
- /h/ — um sopro suave, diferente do “r”: warehouse /ˈwɛə(ɹ)haʊs/, hive /haɪv/
Como praticar com este vídeo
- Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
- Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
- Grave a sua voz e compare com o original, prestando atenção a palavras como catalogue, domain, marketplace.
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.