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Sep

30

WebHack#38 A Glance of Data Engineering

Registration info

Free Admission

Free

FCFS
37/80

Description

WebHack

If you believe building relationships with people who are in the same industry helps you know yourself and achieve what you couldn't do alone, this month's event is for you!

This month, WebHack enables a better online meetup experience: you can select virtual tables to have deep face-to-face chats with people at the same table in the networking session!

If you value continuously learning, read WebHack Monthly and follow @WebHackMeetup to keep receiving valuable contents & earlier updates 👨‍🎓

Event Url

https://bit.ly/36j77xg

To gain the best experience, please

  • Join on PC (not on mobile phones)
  • Use Chrome browser (not Safari or Firefox)
  • Start at 19:30 in Tokyo time (GMT+9)

Feel free to write real-time collaborative notes at real-time event notes!

Live URL

https://www.youtube.com/watch?v=3vZk7PAMj9M&ab_channel=WebHackMeetup

Slide & Code: https://docs.google.com/presentation/d/1HFUYpU2oqzFG1sX1fogppWitEX8tUyrFgYQ8J4xkmr8/edit#slide=id.g96c27d8dda_1_5533

Language

English

Description

In this talk, I will give a comprehensive introduction about what “Data Engineering” is and how we do it. Based on different categories of use cases, transactional, analytical, how could data system design adapts for them. And will share some of the major the challenges in practice, for data ingestion under high throughput, timeliness delivery, optimization for interactive queries, and objectives for service operations.

Speaker

Ansel Lin, joined Treasure Data Tokyo as Senior Data Engineer from 2020. Prior to Treasure Data, he has worked in Rakuten’s Data Platform Department, ABEJA (a Tokyo based data science solution start-up), Bridgewell (a Taipei based digital advertising company) as Data Engineer. And by working in these positions, he has accumulated data engineering experience from several aspects, ex. building data ingestion pipelines, data warehouse infrastructure, OLAP engine, data cube modeling for Business Intelligence, and data workflows management.

Schedule

Time Session
19:30 - 19:40 Opening
19:40 - 20:20 Talk
20:20 - 20:30 Q & A
20:30 - 21:00 Networking
21:00 Good night!

Venue

This event will be live streamed, and the link will be sent to attendees three days before. Ensure to register in order to receive the link, please.

Media View all Media

If you add event media, up to 3 items will be shown here.

Feed

(退会ユーザー)

(退会ユーザー) wrote a comment.

2023/05/08 04:32

hello

ChihCheng Huang

ChihCheng Huang published WebHack#38 A Glance of Data Engineering.

09/07/2020 14:44

WebHack#38 A Glance of Data Engineering has been published!

Group

WebHack Meetup

Number of events 64

Members 1650

Ended

2020/09/30(Wed)

19:30
21:00

You cannot RSVP if you are already participating in another event at the same date.

Registration Period
2020/09/07(Mon) 00:00 〜
2020/09/30(Wed) 21:00

Attendees(37)

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Attendees (37)

Canceled (2)