ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: What Is a Data Mesh? Databricks Unity Catalog Explained
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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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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้
บทเรียนฝึกพูดนี้ใช้วิดีโอ “What Is a Data Mesh? Databricks Unity Catalog Explained” เป็นสื่อ คำที่ถูกพูดซ้ำบ่อยที่สุด: catalog, domain, marketplace, project, databricks วิดีโอนี้มี 147 ประโยค และ 1755 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 9:10 ผู้พูดพูดเร็ว ประมาณ 191 คำต่อนาที จึงมีการเชื่อมเสียงและลดเสียงค่อนข้างมาก 85% ของคำอยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ ส่วนที่เหลือควรดูไว้ก่อนเริ่มฝึก
คำศัพท์สำคัญในวิดีโอนี้
คำที่ควรเรียนรู้ 15 คำจากวิดีโอ พร้อมคำอ่านและความหมาย:
| คำศัพท์ | คำอ่าน | ความหมาย |
|---|---|---|
| catalogue คำนาม | /ˈkæt.əˌlɔɡ/ | แคตตาล็อก, รายการ |
| architecture คำนาม | /ˈɑː.kɪˌtɛk.t͡ʃə/ | สถาปัตยกรรม |
| arrow คำนาม | /ˈæɹəʊ/ | ลูกศร, ศร |
| architect คำนาม | /ˈɑɹ.kɪˌtɛkt/ | สถาปนิก |
| vendor คำนาม | /ˈvɛn.dɚ/ | ผู้ขาย |
| introduce คำกริยา | /ˌɪntɹəˈdus/ | แนะนำ |
| database คำนาม | /ˈdeɪtəˌbeɪs/ | ฐานข้อมูล |
| announce คำกริยา | /əˈnaʊn(t)s/ | ประกาศ, แถลง |
| icon คำนาม | /ˈaɪ.kɑn/ | รูปเคารพ |
| gate คำนาม | /ˈɡeɪ̯t/ | ประตู |
| cloud คำนาม | /ˈklaʊ̯d/ | เมฆ |
| server คำนาม | /ˈsɝvɚ/ | เซิร์ฟเวอร์ |
| solve คำกริยา | /sɒlv/ | แก้, แก้ไข |
| elite คำนาม | /ɪˈlit/ | อติชน, อภิชน |
| legacy คำนาม | /ˈlɛɡəsi/ | มรดก |
ประโยคที่ควรฝึกพูดซ้ำ
ประโยคสั้น ๆ ที่สมบูรณ์จากวิดีโอ ซึ่งนำไปใช้ในบทสนทนาประจำวันได้:
- 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.
ไวยากรณ์ในวิดีโอนี้
โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:
| โครงสร้าง | ในวิดีโอ |
|---|---|
| Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบัน | have been · have federated · i've seen |
| Passive voice be + กริยาช่อง 3 — เน้นสิ่งที่เกิดขึ้น ไม่ใช่ผู้กระทำ | be described · is made |
การออกเสียงที่ควรระวัง
ผู้พูดใช้รูปย่อและรูปลดเสียง 68 ครั้ง เช่น gonna, I'm, they're ให้พูดแบบสั้นตามที่ได้ยิน
- เสียง “sh” และ “zh”: mesh /mɛʃ/, transition /tɹænˈzɪʃ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, azure /ˈæʒɚ/
- คำยาว — ลงเสียงหนักให้ถูกพยางค์: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, metadata /ˈmɛt.əˌdeɪ.tə/
เสียงที่คนไทยมักออกเสียงยาก:
- เสียงท้ายคำ — ออกเสียงให้ครบ ไม่เปลี่ยนเป็นตัวสะกดแบบไทย: mesh /mɛʃ/, visible /ˈvɪzɪb(ə)l/, introduce /ˌɪntɹəˈdus/, database /ˈdeɪtəˌbeɪs/, announce /əˈnaʊn(t)s/
- /v/ — ไม่ใช่ /w/ ให้ฟันบนแตะริมฝีปากล่าง: vendor /ˈvɛn.dɚ/, visible /ˈvɪzɪb(ə)l/, server /ˈsɝvɚ/, solve /sɒlv/, virtual /ˈvɜɹt͡ʃuəl/
- /z/ — เสียงก้อง ไม่ใช่ /s/: visible /ˈvɪzɪb(ə)l/, physically /ˈfɪz.ɪ.kli/, transition /tɹænˈzɪʃ.ən/, bronze /bɹɑnz/, bizarre /bɪˈzɑː(ɹ)/
วิธีฝึกกับวิดีโอนี้
- ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
- เริ่มที่ความเร็ว 0.75× พูดตามทีละประโยค แล้วกลับไปใช้ความเร็วปกติเมื่อเริ่มคล่อง
- อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง catalogue, architecture, arrow เป็นพิเศษ
เทคนิค Shadowing คืออะไร?
Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ