Тёмный
No video :(

What are Metadata Driven Architectures ? 

BigData Thoughts
Подписаться 10 тыс.
Просмотров 1,9 тыс.
50% 1

Опубликовано:

 

22 авг 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 5   
@AdnanKhan-kf2bm
@AdnanKhan-kf2bm 8 месяцев назад
Thank You Very Much for Explaining the concept in simple way. I had no idea about Meta Data driven prior watching your video , Now I have a fair idea about it, Thanks again.
@BigDataThoughts
@BigDataThoughts 8 месяцев назад
thanks
@AnandKumar-dc2bf
@AnandKumar-dc2bf Год назад
Can you do one video or 2 on real-time issues in Apache spark
@sarfarazhussain6883
@sarfarazhussain6883 Год назад
One quick Q, let's say my schema or Metadata has a column "ID" as Long and using that I already created my table in Lakehouse, after a month application team changed the ID from Long to String, how am I going to handle it without reprocessing the entire table?
@BigDataThoughts
@BigDataThoughts Год назад
yes for data type change you would need to reprocess(its a destructive change). Using a metadata framework doesn't mean that there would be no reprocessing at any point of time but it ensures we reduce code changes for many scenarios. Typically constructive changes like adding a new column.
Далее
PEDRO PEDRO INSIDEOUT
00:10
Просмотров 2,4 млн
skibidi toilet zombie universe 40 ( New Virus)
03:06
Просмотров 1,9 млн
Understanding Spark Execution
15:33
Просмотров 2 тыс.
Introduction to Data Mesh with Zhamak Dehghani
1:05:31
Просмотров 31 тыс.
These 'Scientists' Falsified Scientific Data
9:47
Просмотров 18 тыс.