シャドーイング練習: PostgreSQL in 100 Seconds - 動画で英語スピーキングを学ぶ

レッスンを作成中...
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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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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「PostgreSQL in 100 Seconds」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：database, table, type, object, relational。 この動画には、シャドーイング用の文が28文、単語が539語あります。 音声の長さは2:36です。 話す速さは速く、1分あたり約207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。 英語の頻出3,000語に含まれる単語は75%だけなので、語彙は難しめです。

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
database 名詞/ˈdeɪtəˌbeɪs/データベース
custom 名詞/ˈkʌstəm/習慣, 風俗
query 名詞/ˈkwɪɹ.i/質問
extension 名詞/ɪkˈstɛnʃən/拡張, 拡大
transaction 名詞/tɹænˈzækʃən/処理
cloud 名詞/ˈklaʊ̯d/雲, 雲霞
bracket 名詞/ˈbɹækɪt/括弧
programmer 名詞/ˈpɹoʊɡɹæmɚ/プログラマー
compare 動詞/kəmˈpɛɚ/比べる, 比較する
select 動詞/sɪˈlɛkt/選ぶ
procedure 名詞/pɹəˈsiː.d͡ʒə/手段, やり方
designer 名詞/dɪˈzaɪnɚ/デザイナー, 設計士
string 名詞/stɹɪŋ/紐
connect 動詞/kəˈnɛkt/繋げる
jam 名詞/ˈd͡ʒæm/ジャム

注意したい発音

  • 「sh」と「zh」の音: extension /ɪkˈstɛnʃən/, transaction /tɹænˈzækʃən/, shout /ʃaʊt/, dimensional /daɪˈmɛn.ʃə.nəl/, notation /noʊˈteɪʃən/
  • 長い単語（アクセントの位置に注意）: developer /dɪˈvɛləpɚ/, technically /ˈtɛk.nɪˌkəl.i/, dimensional /daɪˈmɛn.ʃə.nəl/, inheritance /ɪnˈhɛɹɪtəns/, ecosystem /ˈikoʊˌsɪstəm/

日本語話者が苦手な音：

  • /f/ — 「フ」ではなく、上の歯と下唇で出す: define /dɪˈfaɪn/, polymorphism /pɑliˈmɔɹfɪz(ə)m/
  • 子音の連続 — 間に母音を入れない: query /ˈkwɪɹ.i/, extension /ɪkˈstɛnʃən/, transaction /tɹænˈzækʃən/, cloud /ˈklaʊ̯d/, bracket /ˈbɹækɪt/

この動画での練習方法

  1. 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。
  2. 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。
  3. 自分の声を録音して元の音声と比べます。database, custom, query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 →