Shadowing Practice: Amazon Athena explained in 120 seconds๐Ÿ’ก - Learn English Speaking with Video

ื‘ื—ืจ ืžืฆื‘ ืชืจื’ื•ืœ

ื›ืœ ืžืฆื‘ ืคื•ืชื— ื—ื“ืจ ืชืจื’ื•ืœ ื‘ืžืกืš ืžืœื.

29 ืžืฉืคื˜ื™ื
ืื ื”ืžืฉืคื˜ื™ื ืงืฆืจื™ื ืื• ืืจื•ื›ื™ื ืžื“ื™, ืœื—ืฅ ืขืœ ืขืจื•ืš ื›ื“ื™ ืœื”ืชืื™ื ืื•ืชื.
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How do you run SQL queries on your S3 data without spinning up a database or dealing with any servers?
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That's basically what Amazon Athena gives you out of the box.
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Say you've got tons of raw logs, CSVs, or parquet files piling up in S3.
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They're just sitting there.
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But every time you want to analyze something simple, you end up pulling the data into a database, spinning up infrastructure, or writing custom scripts just to answer basic questions.
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It's slow, clunky, and honestly, not fun to maintain.
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This is exactly where Athena shines.
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It is fully managed and serverless, so there are no clusters or hardware to think about.
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You simply point Athena to your S3 bucket, start writing SQL, and it handles the rest.
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No provisioning, no scaling worries, and you only pay for the amount of data it actually scans.
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Under the hood, Athena uses Presto, a super fast distributed SQL engine.
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All you have to do is define a schema that matches the structure of your files in S3.
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Column names, data types, and the folder location.
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Once that's done, you write SQL queries just like you would on any database.
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Athena scans only what it needs and returns results quickly.
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Plus, it plays nicely with formats like CSV, JSON, ORC, and Parquet.
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Here's what it looks like in practice.
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You jump into the AWS console, open up Athena, and create a database.
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Then you define a table like this.
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This basically tells Athena, Hey, my files are sitting in this S3 folder, and here's what each column looks like.
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The SERDI part is just Athena's way of understanding how your data is formatted.
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SERDI stands for Serializer Deserializer.
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It's basically a plugin that tells Athena or Hive how to convert your raw text files into columns and rows, and then back the other way if needed.
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Deserializer takes your raw data and turns it into structured columns for SQL queries.
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Serializer does the reverse when needed, taking structured data and turning it back into the raw format.
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Once that's set, you can run something simple like so.
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And boom, you get instant insights.
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No ETL jobs, no data pipelines, nothing complicated.
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Just pure SQL directly on your raw files.

ื”ื•ืจื“ ืืคืœื™ืงืฆื™ื”

ื›ืœ ืžื” ืฉืืชื” ืฆืจื™ืš ื›ื“ื™ ืœื“ื‘ืจ ื‘ืฉื˜ืฃ

ื”ื’ื™ื™ืช AIืฆื™ื•ืŸ ืœื›ืœ ืžืฉืคื˜
ืชืจื’ื•ืœ IPAืฉืœื•ื˜ ื‘ื›ืœ ืฆืœื™ืœ
ืื•ืฆืจ ืžื™ืœื™ืื‘ื ื” ืืช ืžืื’ืจ ื”ืžื™ืœื™ื ืฉืœืš
ืžืฉื—ืง ืื•ืฆืจ ืžื™ืœื™ืืœืžื“ ืชื•ืš ื›ื“ื™ ืžืฉื—ืง

ืื•ืชื• ืขืจื•ืฅ

FOR YOU

ื”ืžืœืฅ ืขืœ ืกืจื˜ื•ืŸ

What You'll Learn

This video helps you build two key speaking skills: explaining technical ideas clearly and using conversational rhythm to keep listeners engaged. Youโ€™ll practice breaking down complex tools (like serverless SQL engines) into simple, relatable terms, and learn how to pause naturally to emphasize key pointsโ€”skills that work in both professional and daily conversations. Plus, youโ€™ll get better at using phrases like โ€œout of the boxโ€ and โ€œplays nicely withโ€ to sound more fluent and approachable.

Listen For These Sounds

Notice how the speaker links words to keep the flow smooth. For example, โ€œwhat Amazon Athena gives youโ€ becomes โ€œwha-da-Mazon-Athena-giv-yuโ€ with soft connections between โ€œwhatโ€ and โ€œAmazon,โ€ and โ€œgivesโ€ and โ€œyou.โ€ Youโ€™ll also hear reductions like โ€œitโ€™sโ€ instead of โ€œit isโ€ and โ€œthatโ€™sโ€ instead of โ€œthat is,โ€ which are common in fast, natural speech. Pay attention to how โ€œPrestoโ€ is stressedโ€”โ€œPRE-stoโ€โ€”to highlight the toolโ€™s importance, and how โ€œSERDIโ€ is pronounced with equal stress on each syllable (โ€œSER-deeโ€) to clarify the acronym.

Say It Like a Native

To mirror the speakerโ€™s rhythm, focus on stressing content words like โ€œserverless,โ€ โ€œSQL,โ€ and โ€œinstant insightsโ€ while keeping function words like โ€œthe,โ€ โ€œit,โ€ and โ€œandโ€ short and light. Try shadowingโ€”repeating the speakerโ€™s words immediately after themโ€”to match their pace. For example, when they say, โ€œNo provisioning, no scaling worries, and you only pay for the amount of data it actually scans,โ€ copy the quick pauses after each comma and the rising tone on โ€œscansโ€ to build momentum. Use a shadowing app to record yourself and compareโ€”youโ€™ll notice how small tweaks in stress and timing make your speech sound more natural. This practice, called shadowspeak, is a great way to improve English pronunciation and feel more confident in technical or casual talks. Remember: the goal is to sound conversational, not perfectโ€”so embrace the flow and let your voice rise and fall with the ideas.

ืžื”ื™ ื˜ื›ื ื™ืงืช ื”ืฉืื“ื•ืื™ื ื’?

ืฉืื“ื•ืื™ื ื’ ื”ื™ื ื˜ื›ื ื™ืงืช ืœืžื™ื“ืช ืฉืคื” ืžื‘ื•ืกืกืช ืžื“ืข ืฉืคื•ืชื—ื” ื‘ืžืงื•ืจ ืœื”ื›ืฉืจืช ืžืชื•ืจื’ืžื ื™ื ืžืงืฆื•ืขื™ื™ื ื•ืคื•ืคื•ืœืจื™ืช ืขืœ ื™ื“ื™ ื”ืคื•ืœื™ื’ืœื•ื˜ ื“"ืจ ืืœื›ืกื ื“ืจ ืืจื’ื•ืืœืก. ื”ืฉื™ื˜ื” ืคืฉื•ื˜ื” ืืš ืขื•ืฆืžืชื™ืช: ืืชื” ืžืงืฉื™ื‘ ืœืื•ื“ื™ื• ื‘ืื ื’ืœื™ืช ื™ืœื™ื“ื™ืช ื•ื—ื•ื–ืจ ืขืœื™ื• ื‘ืงื•ืœ ืจื ืžื™ื“ โ€” ื›ืžื• ืฆืœ ื”ืขื•ืงื‘ ืื—ืจื™ ื”ื“ื•ื‘ืจ ืขื ืขื™ื›ื•ื‘ ืฉืœ 1โ€“2 ืฉื ื™ื•ืช ื‘ืœื‘ื“. ื‘ื ื™ื’ื•ื“ ืœื”ืื–ื ื” ืคืกื™ื‘ื™ืช ืื• ืชืจื’ื™ืœื™ ื“ืงื“ื•ืง, ืฉืื“ื•ืื™ื ื’ ืžื›ืจื™ื— ืืช ื”ืžื•ื— ื•ื”ืฉืจื™ืจื™ื ื‘ืคื” ืœืขื‘ื“ ื•ืœืฉื—ื–ืจ ื“ืคื•ืกื™ ื“ื™ื‘ื•ืจ ืืžื™ืชื™ื™ื ื‘ื• ื–ืžื ื™ืช. ืžื—ืงืจื™ื ืžืจืื™ื ืฉื–ื” ืžืฉืคืจ ืžืฉืžืขื•ืชื™ืช ืืช ื“ื™ื•ืง ื”ื”ื’ื™ื™ื”, ื”ืื™ื ื˜ื•ื ืฆื™ื”, ื”ืงืฆื‘, ื”ื“ื™ื‘ื•ืจ ื”ืžื—ื•ื‘ืจ, ื”ื‘ื ืช ื”ืฉืžื™ืขื” ื•ืฉื˜ืฃ ื”ื“ื™ื‘ื•ืจ โ€” ืžื” ืฉื”ื•ืคืš ืื•ืชื• ืœืื—ืช ื”ืฉื™ื˜ื•ืช ื”ื™ืขื™ืœื•ืช ื‘ื™ื•ืชืจ ืœื”ื›ื ื” ืœIELTS Speaking ื•ืœืชืงืฉื•ืจืช ื‘ืื ื’ืœื™ืช ื‘ืขื•ืœื ื”ืืžื™ืชื™.

ื˜ื›ื ื™ืงืช Shadowing: ืงืจื ืืช ื”ืžื“ืจื™ืš ื”ืžืœื ืฉืœื‘ ืื—ืจ ืฉืœื‘ โ†’