Тёмный

How we use Dataverse Elastic Tables | 365.Training 

365.Training
Подписаться 4,3 тыс.
Просмотров 738
50% 1

In this video, David Yack explains how we used Dataverse Elastic tables as part of our overall Dataverse data model for our new my digest site. We chose to use elastic tables in our solution because of the following benefits:
* Faster Development: Elastic tables enable quicker application development as they don't require predefined schemas, allowing for more agile development.
* Flexibility in Data Modeling: You can adapt elastic tables to changing data requirements without the need for complex schema modifications, streamlining development.
* Improved Performance: Elastic tables automatically optimize storage and indexing, resulting in better query performance and response times.
* Cost Efficiency: With time-to-live (TTL) setting and automatic clean up, pay only for the storage and resources you use, avoiding over-provisioning and lowering operational costs.
Try out my digest yourself at mydigest.365.training. Make sure you login to use all of the cool features like snooze and save with notes, and to set your own preferences to get the most out of my digest.
Learn more about the other ways we use AI at 365.Training 365l.ink/Ai
See more from Dave at 365.Training 365l.ink/dave

Наука

Опубликовано:

 

29 ноя 2023

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 2   
@jeanpauldosher3076
@jeanpauldosher3076 2 месяца назад
This is truly GOLD. Now, a question: What kind of errors are expected?
@aboodh95
@aboodh95 6 месяцев назад
this is too much useful, with a real life example, If you can show us how you do it, that will be helpful too
Далее
Sniper Duel | Standoff 2
00:54
Просмотров 521 тыс.
ОСКАР И ДЖОНИ БРОСИЛИ НАС 😭
01:00
Elastic Table in Dataverse and Power Apps
7:02
Get Data Into Databricks - Simple ETL Pipeline
10:05
Просмотров 68 тыс.
Query Dataverse Tables With HTTP POST
8:10
Просмотров 8 тыс.
Здесь упор в процессор
18:02
Просмотров 75 тыс.