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65 (S2E23). Data catalogs

Episode 23 of the Data Coffee podcast, hosted by Data Coffee, titled "65 (S2E23). Data catalogs" was published on September 10, 2022 and runs 62 minutes.

September 10, 2022 ·62m · Data Coffee

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Тема выпуска Data Catalogs В гостях у подкаста `Data Coffee` Data Engineer из компании Picsart — Алмаз Мурзабеков (Telegram, Email) Shownotes: 0:56 Чашку-другую, но не сбивая биоритмы 1:45 Кто такой DI engineer 6:52 Что такое data catalog 11:20 Meta-информация 17:21 Как заполняется data catalog 20:32 Amundsen, OpenMetaData 26:15 Atlan 31:39 Структура бизнес-глоссария 33:06 Как продать data catalog руководству 36:21 Чем заниматься DE после внедрения 39:58 Витрины как сервис 41:03 Algorithm-based decision making 42:48 Критерии выбора data-каталога 46:15 DQ и интеграция с мессенжерами 48:58 Data catalog on top of file system 51:44 Data exploration 54:11 Сколько проект займет в людях 57:02 Как сделать MVP Обложка - Michael Holley Swtpc6800, Public domain, via Wikimedia Commons Сайт: https://datacoffee.link, канал в Telegram: https://t.me/datacoffee, профиль в Twitter: https://twitter.com/_DataCoffee_ Чат подкаста, где можно предложить темы для будущих выпусков, а также обсудить эпизоды: https://t.me/datacoffee_chat

Тема выпуска Data Catalogs

В гостях у подкаста `Data Coffee` Data Engineer из компании Picsart — Алмаз Мурзабеков (Telegram, Email)


Shownotes:

0:56 Чашку-другую, но не сбивая биоритмы

1:45 Кто такой DI engineer

6:52 Что такое data catalog

11:20 Meta-информация

17:21 Как заполняется data catalog

20:32 Amundsen, OpenMetaData

26:15 Atlan

31:39 Структура бизнес-глоссария

33:06 Как продать data catalog руководству

36:21 Чем заниматься DE после внедрения

39:58 Витрины как сервис

41:03 Algorithm-based decision making

42:48 Критерии выбора data-каталога

46:15 DQ и интеграция с мессенжерами

48:58 Data catalog on top of file system

51:44 Data exploration

54:11 Сколько проект займет в людях

57:02 Как сделать MVP


Обложка - Michael Holley Swtpc6800, Public domain, via Wikimedia Commons

Сайт: https://datacoffee.link, канал в Telegram: https://t.me/datacoffee, профиль в Twitter: https://twitter.com/_DataCoffee_

Чат подкаста, где можно предложить темы для будущих выпусков, а также обсудить эпизоды: https://t.me/datacoffee_chat

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