Five system table queries to track Databricks spend โ€” by product, warehouse, and team, with anomaly detection and AI ...
Databricks has announced the public preview launch of Query Tags, a new capability for Databricks SQL that allows organizations to attach custom business context as key-value pairs to every SQL ...
์„œ๋ก Jira์™€ Confluence์— ์ถ•์ ๋œ '์—…๋ฌด ๋งฅ๋ฝ'๊ณผ ์‚ฌ๋‚ด ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์— ์ถ•์ ๋œ '๊ตฌ์กฐํ™”๋œ ์ˆ˜์น˜ ๋ฐ์ดํ„ฐ'๋Š” ์ง€๊ธˆ๊นŒ์ง€ ์„œ๋กœ ๋‹ค๋ฅธ ๊ณณ์— ์กด์žฌํ–ˆ์Šต๋‹ˆ๋‹ค. ๋งค์ถœ ๋ฐ์ดํ„ฐ๋‚˜ ๊ณ ๊ฐ ํ–‰๋™ ๋ฐ์ดํ„ฐ๋ฅผ ํ™•์ธํ•˜๋ ค๋ฉด SQL์„ ๋‹ค๋ฃฐ ์ˆ˜ ์žˆ๋Š” ...
Data warehouses alone don't cut it. Data lakes alone don't cut it either. So whether you call it data lakehouse or by any other name, you need the best of two worlds, says Databricks. A new query ...
Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...