Pratica di Shadowing: PostgreSQL in 100 Seconds - Impara a parlare inglese con i video

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PostgreSQL, the most trusted name in open -source relational databases.
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Its development dates all the way back to 1986 at UC Berkeley, under the direction of Michael Stonebraker.
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Like other pure relational databases, it stores data in tables, columns, and rows, and uses structured query language to read and write data.
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However, PostgreSQL is technically an object relational database, which means it can create its own custom data types to store objects with properties
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and support advanced features like inheritance and polymorphism.
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When writing data, it runs fully ACID -compliant transactions, but also adds its own special sauce called multi -version concurrency control,
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which gives each transaction a snapshot of the database, allowing multiple transactions to run at the same time without traffic jams or locks.
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Developers also love its extensibility.
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Queries can be reused by writing stored procedures, and it even supports languages beyond SQL like Python and C.
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And it has a robust ecosystem of extensions, like PostGIS to provide geospatial data for apps like Uber, or Citus to shard and distribute the database to any scale,
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or PG embedding to give AI chatbots long -term memory, and the list goes on.
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To get started, you can download and install it locally, or better yet, use a free cloud database like Neon, which provides autoscaling out of the box and a nice UI to manage your data,
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in addition to a bunch of other advanced features like branching.
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Create a new database, then head over to the SQL editor to run your first query, or connect it to your IDE with an extension like SQL tools we could get started by creating a new table.
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But because this is an object -relational database, let's begin by creating a custom data type, which defines the structure of an object with corresponding properties and types.
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What's awesome about Postgres, though, is that we have more exotic data modeling options, like arrays can be used by putting brackets in front of a type,
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then make it a two -dimensional array by adding another set of brackets.
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We also have JSON data types to handle unstructured data, and even key value pairs with extensions like hstore.
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Now that we have this custom type, we can use it within one or more tables, like one table for programmers and another for designers.
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Once the table is created, we can then use an insert statement to add a row of data into it.
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Notice the use of a double colon to cast a string into JSON or H store types.
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And now finally, we can read the data with a select statement
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that uses dot notation to access the properties on our custom object.
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Every table has a unique primary key, and we can create relationships by storing the primary key from one table as the foreign key on another, like a programmer might own many Lambos.
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We can then find those Lambos by doing a join query that compares the programmer's ID to the Lambo's owner ID.
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This has been PostgreSQL in 100 seconds.
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Big shout out to NeonDB for sponsoring and making this awesome database free to use in the cloud.
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Thanks for watching, and I will see you in the next one.
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Vocabolario e note di pronuncia per questa lezione

Questa lezione di conversazione si basa sul video “PostgreSQL in 100 Seconds”. Le parole che ritornano più spesso: database, table, type, object, relational. Questo video contiene 28 frasi e 539 parole da ripetere con lo shadowing. Il parlato dura 2:36. Chi parla va veloce, circa 207 parole al minuto: aspettati suoni legati e ridotti. Solo il 75% delle parole rientra nelle 3.000 più comuni dell’inglese, quindi il lessico è impegnativo.

Vocaboli chiave di questo video

15 parole del video che vale la pena imparare, con pronuncia e significato:

ParolaPronunciaSignificato
database sostantivo/ˈdeɪtəˌbeɪs/database, base di dati
custom sostantivo/ˈkʌstəm/usanza, costume
query sostantivo/ˈkwɪɹ.i/interrogativo, domanda
extension sostantivo/ɪkˈstɛnʃən/proroga, estemsione
cloud sostantivo/ˈklaʊ̯d/nuvola, nube
array sostantivo/əˈɹeɪ/abbigliamento, agghindamento
bracket sostantivo/ˈbɹækɪt/staffa
programmer sostantivo/ˈpɹoʊɡɹæmɚ/programmatore, programmatrice
compare verbo/kəmˈpɛɚ/paragonare
select verbo/sɪˈlɛkt/scegliere, selezionare
procedure sostantivo/pɹəˈsiː.d͡ʒə/procedura, iter
designer sostantivo/dɪˈzaɪnɚ/designer, progettista
string sostantivo/stɹɪŋ/spago, stringa
connect verbo/kəˈnɛkt/connettere, connettersi
define verbo/dɪˈfaɪn/definire, determinare

Pronuncia a cui fare attenzione

  • I suoni “sh” e “zh”: extension /ɪkˈstɛnʃən/, transaction /tɹænˈzækʃən/, shout /ʃaʊt/, dimensional /daɪˈmɛn.ʃə.nəl/, notation /noʊˈteɪʃən/
  • Parole lunghe — attenzione all’accento: developer /dɪˈvɛləpɚ/, technically /ˈtɛk.nɪˌkəl.i/, dimensional /daɪˈmɛn.ʃə.nəl/, inheritance /ɪnˈhɛɹɪtəns/, ecosystem /ˈikoʊˌsɪstəm/

I suoni difficili per chi parla italiano:

  • Consonante finale — senza aggiungere una vocale dopo: database /ˈdeɪtəˌbeɪs/, cloud /ˈklaʊ̯d/, bracket /ˈbɹækɪt/, select /sɪˈlɛkt/, connect /kəˈnɛkt/
  • /æ/ — più aperta della “e”: transaction /tɹænˈzækʃən/, bracket /ˈbɹækɪt/, programmer /ˈpɹoʊɡɹæmɚ/, jam /ˈd͡ʒæm/, chatbot /ˈtʃætbɑt/

Come esercitarsi con questo video

  1. Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
  2. Inizia a velocità 0,75×, fai shadowing frase per frase e torna alla velocità normale quando diventa facile.
  3. Registrati e confronta con l’originale, facendo attenzione a parole come database, custom, query.

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.

Tecnica dello shadowing: leggi la guida completa passo dopo passo →