BigQuery update on November 3, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_03_2026 #googlecloud In BigQuery Studio, the left pane has been updated with new tab names
November 3, 2026 at 9:40 AM
BigQuery update on November 3, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_03_2026 #googlecloud In BigQuery Studio, the left pane has been updated with new tab names
Not So BigQuery ist mein wöchentlicher BigQuery-Newsletter, Ausgabe 302 seit 2021, gebaut aus RSS und einem Google Sheet.
Die ganze Ausgabe: app.mailbrew.com/tgel0/not-s...
Die ganze Ausgabe: app.mailbrew.com/tgel0/not-s...
🔍 Not So BigQuery
A weekly newsletter about BigQuery and other data-related things from the GCP world. Curated by Tomi Gelo.
app.mailbrew.com
November 3, 2026 at 6:01 PM
Not So BigQuery ist mein wöchentlicher BigQuery-Newsletter, Ausgabe 302 seit 2021, gebaut aus RSS und einem Google Sheet.
Die ganze Ausgabe: app.mailbrew.com/tgel0/not-s...
Die ganze Ausgabe: app.mailbrew.com/tgel0/not-s...
Not So BigQuery is my weekly BigQuery newsletter, 302 issues since 2021, from RSS and a Google Sheet. Full issue, with the bits that did not fit:
app.mailbrew.com/tgel0/not-s...
app.mailbrew.com/tgel0/not-s...
🔍 Not So BigQuery
A weekly newsletter about BigQuery and other data-related things from the GCP world. Curated by Tomi Gelo.
app.mailbrew.com
November 3, 2026 at 6:02 PM
Not So BigQuery is my weekly BigQuery newsletter, 302 issues since 2021, from RSS and a Google Sheet. Full issue, with the bits that did not fit:
app.mailbrew.com/tgel0/not-s...
app.mailbrew.com/tgel0/not-s...
BigQuery update on November 2, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_02_2026 #googlecloud You can now use BigQuery change history and continuous queries for Apache Iceberg managed tables in Lakehouse
November 2, 2026 at 8:20 PM
BigQuery update on November 2, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_02_2026 #googlecloud You can now use BigQuery change history and continuous queries for Apache Iceberg managed tables in Lakehouse
Google Cloud: BigQuery data agent observability GA: monitor performance, adoption, latency, and costs
November 3, 2026 at 12:30 AM
Google Cloud: BigQuery data agent observability GA: monitor performance, adoption, latency, and costs
👤 Post by gvglupita (Data & Analytics):
"Provisioning of SAP BDC Connect for Google BigQuery"
🔗 Link: https://community.sap.com/t5/data-and-analytics-blog-posts/provisioning-of-sap-bdc-connect-for-google-bigquery/ba-p/14515916
"Provisioning of SAP BDC Connect for Google BigQuery"
🔗 Link: https://community.sap.com/t5/data-and-analytics-blog-posts/provisioning-of-sap-bdc-connect-for-google-bigquery/ba-p/14515916
November 4, 2026 at 5:58 AM
👤 Post by gvglupita (Data & Analytics):
"Provisioning of SAP BDC Connect for Google BigQuery"
🔗 Link: https://community.sap.com/t5/data-and-analytics-blog-posts/provisioning-of-sap-bdc-connect-for-google-bigquery/ba-p/14515916
"Provisioning of SAP BDC Connect for Google BigQuery"
🔗 Link: https://community.sap.com/t5/data-and-analytics-blog-posts/provisioning-of-sap-bdc-connect-for-google-bigquery/ba-p/14515916
Free. No sign-up. No Docker. No server to deploy.
Bufflehead is a desktop app for Mac, Windows and Linux that lets your AI tool run read-only SQL on Parquet, CSV, Postgres, MySQL and BigQuery.
Search Bufflehead to download it.
Bufflehead is a desktop app for Mac, Windows and Linux that lets your AI tool run read-only SQL on Parquet, CSV, Postgres, MySQL and BigQuery.
Search Bufflehead to download it.
November 2, 2026 at 4:00 PM
Free. No sign-up. No Docker. No server to deploy.
Bufflehead is a desktop app for Mac, Windows and Linux that lets your AI tool run read-only SQL on Parquet, CSV, Postgres, MySQL and BigQuery.
Search Bufflehead to download it.
Bufflehead is a desktop app for Mac, Windows and Linux that lets your AI tool run read-only SQL on Parquet, CSV, Postgres, MySQL and BigQuery.
Search Bufflehead to download it.
#後で読む 用メモです→
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
zenn.dev
November 4, 2026 at 1:35 PM
#後で読む 用メモです→
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
This feature lets you copy or mirror analytical tables from BigQuery into AlloyDB for low-latency operational access using the alloydb_sync extension. For more information, see Sync BigQuery data to AlloyDB. AlloyDB Express is available in Preview for PostgreSQL 18
November 4, 2026 at 2:40 PM
This feature lets you copy or mirror analytical tables from BigQuery into AlloyDB for low-latency operational access using the alloydb_sync extension. For more information, see Sync BigQuery data to AlloyDB. AlloyDB Express is available in Preview for PostgreSQL 18
Not So BigQuery #302 is out. New BQ releases worth a look:
🔗 New cross-cloud goodies: Iceberg in Databricks, Snowflake or Workday queries from BigQuery with no copy step + opt-in caching.
Also: Sheets analytics, agent monitoring, AI.PARSE_DOCUMENT & more.
🔗 New cross-cloud goodies: Iceberg in Databricks, Snowflake or Workday queries from BigQuery with no copy step + opt-in caching.
Also: Sheets analytics, agent monitoring, AI.PARSE_DOCUMENT & more.
November 3, 2026 at 6:02 PM
Not So BigQuery #302 is out. New BQ releases worth a look:
🔗 New cross-cloud goodies: Iceberg in Databricks, Snowflake or Workday queries from BigQuery with no copy step + opt-in caching.
Also: Sheets analytics, agent monitoring, AI.PARSE_DOCUMENT & more.
🔗 New cross-cloud goodies: Iceberg in Databricks, Snowflake or Workday queries from BigQuery with no copy step + opt-in caching.
Also: Sheets analytics, agent monitoring, AI.PARSE_DOCUMENT & more.
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
https://zenn.dev/ncdc/articles/c47df2c1f32e0c
https://zenn.dev/ncdc/articles/c47df2c1f32e0c
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
zenn.dev
November 3, 2026 at 11:04 PM
Aurora とDynamoDBとTimestreamとBigQueryを2400万レコードで性能比較してみた
https://zenn.dev/ncdc/articles/c47df2c1f32e0c
https://zenn.dev/ncdc/articles/c47df2c1f32e0c
Docs: Postgres, BigQuery, Snowflake
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
November 4, 2026 at 1:20 PM
Docs: Postgres, BigQuery, Snowflake
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
BigQuery now lets admins set daily token quotas for LLM-backed SQL by project and user.
The project defaults are 200B input and 20B output tokens. Exhaustion blocks new LLM calls, but embedding functions are excluded. Token caps aren't dollar budgets; model pricing and job…
Read more on Kimbodo:
The project defaults are 200B input and 20B output tokens. Exhaustion blocks new LLM calls, but embedding functions are excluded. Token caps aren't dollar budgets; model pricing and job…
Read more on Kimbodo:
How to Control BigQuery AI Costs Without Breaking Production Workflows
What Happened BigQuery has made daily token quotas generally available for its LLM-backed SQL functions, giving administrators a way to limit generation activity at both project and user levels. When…
kimbodo.com
October 31, 2026 at 6:00 PM
BigQuery now lets admins set daily token quotas for LLM-backed SQL by project and user.
The project defaults are 200B input and 20B output tokens. Exhaustion blocks new LLM calls, but embedding functions are excluded. Token caps aren't dollar budgets; model pricing and job…
Read more on Kimbodo:
The project defaults are 200B input and 20B output tokens. Exhaustion blocks new LLM calls, but embedding functions are excluded. Token caps aren't dollar budgets; model pricing and job…
Read more on Kimbodo:
Docs: Snowflake, BigQuery, Databricks, DuckDB
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
November 3, 2026 at 1:29 PM
Docs: Snowflake, BigQuery, Databricks, DuckDB
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
A free daily email with the AI news that matters for data work: theneuralfeed.com/subscribe
AlloyDB update on November 4, 2026 https://docs.cloud.google.com/alloydb/docs/release-notes/#November_04_2026 #googlecloud Syncing data from BigQuery into AlloyDB is generally available ( GA )
November 4, 2026 at 2:40 PM
AlloyDB update on November 4, 2026 https://docs.cloud.google.com/alloydb/docs/release-notes/#November_04_2026 #googlecloud Syncing data from BigQuery into AlloyDB is generally available ( GA )
dbt Core v2.0.11
Adds BigQuery query reservation config, state-based ignoring of external view changes, a --state-mode flag replacing --run-cache-mode, and Jinja file extensions like model.sql.j2.
Adds BigQuery query reservation config, state-based ignoring of external view changes, a --state-mode flag replacing --run-cache-mode, and Jinja file extensions like model.sql.j2.
dbt Core v2.0.11
Adds BigQuery query reservation config, state-based ignoring of external view changes, a --state-mode flag replacing --run-cache-mode, and Jinja file extensions like model.sql.j2.
whatsnew.fyi
November 3, 2026 at 11:02 AM
dbt Core v2.0.11
Adds BigQuery query reservation config, state-based ignoring of external view changes, a --state-mode flag replacing --run-cache-mode, and Jinja file extensions like model.sql.j2.
Adds BigQuery query reservation config, state-based ignoring of external view changes, a --state-mode flag replacing --run-cache-mode, and Jinja file extensions like model.sql.j2.
This article provides a comprehensive guide for migrating Google BigQuery workloads to an open lakehouse architecture on AWS using Apache Iceberg, covering target architecture, step-by-step migration process, and real-world customer success stories.
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg
This article provides a comprehensive guide for migrating Google BigQuery workloads to an open lakehouse architecture on AWS using Apache Iceberg, covering target architecture, step-by-step migration process, and real-world customer success stories.
aws-news.com
November 2, 2026 at 5:25 PM
This article provides a comprehensive guide for migrating Google BigQuery workloads to an open lakehouse architecture on AWS using Apache Iceberg, covering target architecture, step-by-step migration process, and real-world customer success stories.
More details here
#BigQuery
- CA docs.cloud.google.com/bigquery/doc...
- AI.COUNT_TOKENS docs.cloud.google.com/bigquery/doc...
#AlloyDB
docs.cloud.google.com/alloydb/docs...
#Bigtable
docs.cloud.google.com/bigtable/doc...
#GeminiEnterprise
docs.cloud.google.com/gemini/enter...
#BigQuery
- CA docs.cloud.google.com/bigquery/doc...
- AI.COUNT_TOKENS docs.cloud.google.com/bigquery/doc...
#AlloyDB
docs.cloud.google.com/alloydb/docs...
#Bigtable
docs.cloud.google.com/bigtable/doc...
#GeminiEnterprise
docs.cloud.google.com/gemini/enter...
October 30, 2026 at 9:22 AM
📰 New article by Saman Irfan, Ryan Jadidi, Siddhu Kolappan
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg
#AWS #BigData
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg
#AWS #BigData
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg
Learn how to migrate Google BigQuery workloads to an open lakehouse on AWS built on Apache Iceberg and Amazon S3. This post explains why an open lakehouse future-proofs your data, presents the target architecture on AWS, and walks through a step-by-step migration: assess, design, convert, migrate, cut over, and optimize.
aws.amazon.com
November 2, 2026 at 5:26 PM
Cost visibility for data agents is overdue — agent queries can quietly rack up BigQuery spend. Per-agent budgets and alerts help. Compare GCP pricing at comparecloudcosts.com
November 3, 2026 at 4:30 AM
Cost visibility for data agents is overdue — agent queries can quietly rack up BigQuery spend. Per-agent budgets and alerts help. Compare GCP pricing at comparecloudcosts.com
Claude CodeのOpenTelemetryをBigQueryに流してAIコーディングのコストと失敗を可視化する | ウェブの便利屋 #zenn
https://zenn.dev/web_benriya/articles/claude-code-opentelemetry-bigquery-observability
https://zenn.dev/web_benriya/articles/claude-code-opentelemetry-bigquery-observability
Claude CodeのOpenTelemetryをBigQueryに流してAIコーディングのコストと失敗を可視化する
zenn.dev
October 31, 2026 at 1:54 PM
Claude CodeのOpenTelemetryをBigQueryに流してAIコーディングのコストと失敗を可視化する | ウェブの便利屋 #zenn
https://zenn.dev/web_benriya/articles/claude-code-opentelemetry-bigquery-observability
https://zenn.dev/web_benriya/articles/claude-code-opentelemetry-bigquery-observability
Google Cloud: BigQuery now queries Databricks-managed Apache Iceberg tables via Lakehouse
October 30, 2026 at 6:15 PM
Google Cloud: BigQuery now queries Databricks-managed Apache Iceberg tables via Lakehouse
📢 New #updates · 2 Nov #16.4
· lightdash 3.128.0 — BigQuery workload identity federation support added
· GO Feature Flag cmd/wasm/v0.3.0 — Relay proxy upgraded to echo v5
· lightdash 3.128.0 — BigQuery workload identity federation support added
· GO Feature Flag cmd/wasm/v0.3.0 — Relay proxy upgraded to echo v5
November 2, 2026 at 10:40 PM
📢 New #updates · 2 Nov #16.4
· lightdash 3.128.0 — BigQuery workload identity federation support added
· GO Feature Flag cmd/wasm/v0.3.0 — Relay proxy upgraded to echo v5
· lightdash 3.128.0 — BigQuery workload identity federation support added
· GO Feature Flag cmd/wasm/v0.3.0 — Relay proxy upgraded to echo v5