Google announces TabFM model in BigQuery, revolutionizing predictive analytics with instant, accurate predictions on tabular data. 🤖🔍 #Google #BigQuery #PredictiveAnalytics #TabFM
@sergiocuellar.bsky.social
@sergiocuellar.bsky.socialGoogle announces TabFM model in BigQuery, revolutionizing predictive analytics with instant, accurate predictions on tabular data. 🤖🔍 #Google #BigQuery #PredictiveAnalytics #TabFM
@opsmatters.comThe latest update for #BigQuery includes "Agent-ready #analytics: Unlocking insights with BigQuery augmented analytics" and "Simplify pipelines with new BigQuery identity columns".
#bigdata https://opsmtrs.com/3CfptMn
@gblaquiere.bsky.socialMore details here
#BigQuery
Gemini models: cloud.google.com/bigquery/doc...
Conversational Analytics (CA): cloud.google.com/bigquery/doc...
#CloudRun cloud.google.com/run/docs/del...
@gblaquiere.bsky.socialFeatures of the week on #GoogleCloud
#BigQuery up to Gemini 3.7 Flash supported in AI functions, predictive modeling with CA (prev)
#CloudRun delayed job execution (prev)
#CloudSQL in-place upgrades/downgrades of editions and machine types.
#GeminiEnterprise Manage custom "projects" (GA)
@whisprnews.bsky.social🤖 #OpenAI lanza un agente de datos en #ChatGPT Work: conecta #Snowflake, #BigQuery, #Databricks o #SharePoint, interpreta métricas y genera paneles interactivos. Es una capa conversacional sobre tus sistemas, no una base de datos que los reemplace.
@nextgreatread.bsky.social“Note that the canonical representation of a DATETIME has the letter T separating the date part and the time part, whereas the representation of a TIMESTAMP uses a space.”