Pratica di Shadowing: What Is a Data Mesh? Databricks Unity Catalog Explained - Impara a parlare inglese con i video
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to make everything is clean
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and it's clear who is offering what what we're gonna do
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we are back yeah to the hub a little bit
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but this time this hub is marketplace what do we have
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in the marketplace is the following everyone gonna announce their products into central place say hey
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i offer the sales data hey i offers the hr data hey
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i offer the finance data maybe not not arrows sorry for
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that yeah arrows okay
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so the dotted arrow means not the data gonna move to central place
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this is very important to understand the data gonna stay at their places yeah
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so it stays at domain a stays at domain b it stays at domain d
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and so on it's just we're gonna make one gigantic catalog about the data into central place
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so it is a marketplace where everyone announcing their data
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i have the sales i have five tables i have 10 tables
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so it's like bizarre it is very very cool
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because the data analyst they just go to the marketplace
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and read it
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and they can understand okay the whole company how many data
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do we have how many tables how many domains how the size without doing
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this journey by visiting each of those domains without running around in circles to find the data
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they're to go to one place and my friends she gonna find the data fast
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and she gonna understand aha in order to make my reports
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i need the sales data i need this i need
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that i need from this and i'm gonna be able to work
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but this is not only for the analyst as well for
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the ai engineer for any new projects have been in the company
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we know where the data is um
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this is why we're gonna need a central market central place by the way
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this is not anymore federated i just introduced you to the data mesh
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it's not anymore federated things are going to the middle
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so data mesh is no more central team doing the whole thing yeah this is very clear
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because we have federated we split the data by domains each domain
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they're gonna do the whole thing alone we're gonna have data as a product
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that means we're gonna have documentations i'm gonna explain more what is data as a product
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because it's way more than that
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but we're gonna have each domain
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they're gonna make a catalog about their data into central place the marketplace
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they're gonna document it they have a product owners
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and everything is like systemized and documented with high quality
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and all those stuff so the data mesh concept says again physically each domain gonna have
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that data they're gonna own the data at their own place
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they never go to the central place they never go to the hub
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they never go to the central lake house they're gonna stay at
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that department at the domain physically gonna stay at the domains
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but we're gonna make a virtual place where the whole metadata of the whole company gonna be described
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so that if auditor comes they can read the marketplace
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if a new developers comes to the company they're gonna go to the marketplace
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if any news gate new data use case happen to the company we start from the marketplace
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and understand it this picture it is not only the companies
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that understood it who understood this as well it's always the data Databricks.
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They are very, very up to date with all pains of companies.
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This is amazing, really.
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I'm not trying here to sell anything, okay?
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I'm not sponsored or something from Databricks.
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I'm just trying to say here.
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Databricks came and understood, oh, companies are moving to this.
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How about I'm gonna offer something similar to this?
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I would like, like, because Databricks stopped us here.
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Let me just take the icon.
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Now, I'm breaking a little bit the vendor, okay?
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But it is not that important.
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Now, Databricks at the start stopped at here and said, hey, you can make
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Spark, you can make lake houses.
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It's the best thing.
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And they start selling this like crazy.
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But they saw this is happening.
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Companies are making multiple lake houses left and right, and they're going to need something called marketplace.
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And now if you are learning Databricks, you're going to understand the origins of the Unity Catalog.
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Unity Catalog is made for this is made in order to
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make data mesh concepts in order to make domain -driven architectures
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this is what we call domain you're gonna hear a lot
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if you go as an architect people are making domain oriented
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or domain driven architecture
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and this is exactly what we mean at the data world we say data mesh
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and now the vendor databricks join this picture
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this is exactly what they are trying to sell for the companies yeah i have some doubts about it
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but it's working
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but not for big companies yeah let me just explain where that's why two years ago yeah
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i was making my projects
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and then suddenly i've seen something called catalog yeah the catalog yeah the unity catalog
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they introduced the unity catalog who knows the unity catalog data bricks had something similar like a marketplace
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but it was not a marketplace
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it was just a database catalog for your project just only for you for your project okay
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and they called it the hive metastore it's legacy name you will not find it
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but i'm just telling you the story about it they have like some kind
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it looks like a database okay you are you are you are looking at the unit catalog
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but it was only for you for your projects and They switch the whole thing to a marketplace.
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So you see here, it's called my organization.
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Well, maybe in big companies, it's going to be like the company's name.
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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.
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Now, I cannot show you the example because I have here only one example.
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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
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that means they made this local catalog
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that is available only for a project they made it only visible for the whole company
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and this is what suddenly i was like working towards
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and this happens to my project i was working at my project
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and i saw only one catalog this is my catalog
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and i'm doing the server bronze gold and i'm building the warehouse
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and then in the next day i was not following the news i opened my catalog
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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,
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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?
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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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Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione si basa sul video “What Is a Data Mesh? Databricks Unity Catalog Explained”. Le parole che ritornano più spesso: catalog, domain, marketplace, project, databricks. Questo video contiene 147 frasi e 1755 parole da ripetere con lo shadowing. Il parlato dura 9:10. Chi parla va veloce, circa 191 parole al minuto: aspettati suoni legati e ridotti. Il 85% delle parole rientra nelle 3.000 più comuni dell’inglese; conviene studiare le altre prima di iniziare.
Vocaboli chiave di questo video
15 parole del video che vale la pena imparare, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| catalogue sostantivo | /ˈkæt.əˌlɔɡ/ | catalogo |
| domain sostantivo | /ˌdəʊˈmeɪ̯n/ | dominio |
| marketplace sostantivo | mercato | |
| unity sostantivo | /ˈjunɪti/ | unità |
| mesh sostantivo | /mɛʃ/ | maglia, rete |
| architecture sostantivo | /ˈɑː.kɪˌtɛk.t͡ʃə/ | architettura |
| arrow sostantivo | /ˈæɹəʊ/ | freccia |
| architect sostantivo | /ˈɑɹ.kɪˌtɛkt/ | ideatore, ideatrice |
| vendor sostantivo | /ˈvɛn.dɚ/ | venditore, venditrice |
| visible aggettivo | /ˈvɪzɪb(ə)l/ | visibile |
| introduce verbo | /ˌɪntɹəˈdus/ | presentare |
| database sostantivo | /ˈdeɪtəˌbeɪs/ | database, base di dati |
| announce verbo | /əˈnaʊn(t)s/ | annunciare, segnalare |
| icon sostantivo | /ˈaɪ.kɑn/ | icona |
| gate sostantivo | /ˈɡeɪ̯t/ | cancello |
Frasi da ripetere
Frasi brevi e complete del video che puoi riutilizzare nella conversazione di tutti i giorni:
- 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.
La grammatica di questo video
Le strutture che chi parla usa di più, con le parole esatte del video:
| Struttura | Nel video |
|---|---|
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | have been · have federated · i've seen |
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | be described · is made |
Pronuncia a cui fare attenzione
Chi parla usa 68 contrazioni e forme ridotte, come gonna, I'm, they're. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: mesh /mɛʃ/, transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, azure /ˈæʒɚ/
- Parole lunghe — attenzione all’accento: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, metadata /ˈmɛt.əˌdeɪ.tə/
I suoni difficili per chi parla italiano:
- /h/ — va soffiata, non è muta: warehouse /ˈwɛə(ɹ)haʊs/, hive /haɪv/
- Consonante finale — senza aggiungere una vocale dopo: catalogue /ˈkæt.əˌlɔɡ/, mesh /mɛʃ/, architect /ˈɑɹ.kɪˌtɛkt/, analyst /ˈænəlɪst/, introduce /ˌɪntɹəˈdus/
- /æ/ — più aperta della “e”: catalogue /ˈkæt.əˌlɔɡ/, arrow /ˈæɹəʊ/, analyst /ˈænəlɪst/, transition /tɹænˈzɪʃ.ən/, sadly /ˈsædli/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Inizia a velocità 0,75×, fai shadowing frase per frase e torna alla velocità normale quando diventa facile.
- Registrati e confronta con l’originale, facendo attenzione a parole come catalogue, domain, marketplace.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.