Here's your Data + AI Summit 2024 - Warehousing & Analytics recap as you use intelligent data warehousing to improve performance and increase your organization’s productivity with analytics, dashboards and insights. Keynote: Data Warehouse presente...
from an expert -tldr is that we want to support the critical mass of common charts ootb -- a user shouldn't have to import a new library to use something super common & should be able to benefit from DB provided capabilities. that being said, we know...
Databricks SQL provides a simple experience for SQL users who want to run quick ad-hoc queries on their data lake, create multiple visualization types to explore query results from different perspectives, and build and share dashboards.
DBSQL supports the following types of query caching which can help with the query performance -1). Databricks SQL UI caching2). Query results caching3). Delta cachingPlease check here for details -https://docs.databricks.com/sql/admin/query-caching.h...
You can use scheduled query executions to keep your dashboards updated or to enable routine alerts. By default, your queries do not have a schedule. Please refer to the following link to look at the details of how to schedule a query - https://docs.d...
DBSQL supports the following types of query caching which can help with the query performance - 1). Databricks SQL UI caching2). Query results caching3). Delta cachingPlease check here for details - https://docs.databricks.com/sql/admin/query-caching...
Are there workarounds that would allow multiple people to edit the same dashboard? I understand that "can edit" permission is on the roadmap but is there anything else they can do in the meantime to collaborate? Is it possible to disable access contr...
How would Multi Cluster Load Balancer handle JDBC requests? Does a new cluster spin up when ~10 connections are hit or is this unique to # active users?
I see that cluster sizes are mentioned here https://docs.databricks.com/sql/admin/sql-endpoints.html#cluster-size but I would like to know when to pick what type of cluster (data size/ users/ concurrency) without having to do too much trial and error...
