do people really think that the ai-generated video that can't even manage to spell bigquery - 8 characters - correctly, actually looks good? i need people to raise their standards please and thank you
November 5, 2026 at 4:12 PM
do people really think that the ai-generated video that can't even manage to spell bigquery - 8 characters - correctly, actually looks good? i need people to raise their standards please and thank you
Google Cloud: BigQuery DataFrames adds .bigquery accessor for zero-shot predictions in Pandas
November 6, 2026 at 7:30 PM
Google Cloud: BigQuery DataFrames adds .bigquery accessor for zero-shot predictions in Pandas
Semantic Aggregation Over Millions of Rows in BigQuery with AI.AGG! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
geni.us/Semantic-Dat...
geni.us/Semantic-Dat...
November 9, 2026 at 11:00 PM
Semantic Aggregation Over Millions of Rows in BigQuery with AI.AGG! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
geni.us/Semantic-Dat...
geni.us/Semantic-Dat...
📦 nonsapiens/bigquery-model-sync v0.1.24
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
November 7, 2026 at 4:13 PM
📦 nonsapiens/bigquery-model-sync v0.1.24
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
📦 nonsapiens/bigquery-model-sync v0.1.23
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
November 7, 2026 at 4:13 PM
📦 nonsapiens/bigquery-model-sync v0.1.23
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
A Laravel library for coordinating batch record-level syncs from the local database, to BigQuery
🔗 https://github.com/nonsapiens/bigquery-model-sync
#後で読む 用メモです→
BigQuery の TabFM と LightGBM を Diamonds で比較
BigQuery の TabFM と LightGBM を Diamonds で比較
BigQuery の TabFM と LightGBM を Diamonds で比較
zenn.dev
November 8, 2026 at 1:04 PM
#後で読む 用メモです→
BigQuery の TabFM と LightGBM を Diamonds で比較
BigQuery の TabFM と LightGBM を Diamonds で比較
Features of the week on #GoogleCloud
#CloudRun Ephemeral disk (GA) & 12h long GPU jobs (prev)
#KnowledgeCatalog Knowledge Studio with graphs (prev)
#AlloyDB BigQuery sync (GA)
#BigQuery AI.PARSE_DOCUMENT (GA)
#GeminiEnterprise Salesforce federated connector & Computer Use tool are GA
#FotWGCP
#CloudRun Ephemeral disk (GA) & 12h long GPU jobs (prev)
#KnowledgeCatalog Knowledge Studio with graphs (prev)
#AlloyDB BigQuery sync (GA)
#BigQuery AI.PARSE_DOCUMENT (GA)
#GeminiEnterprise Salesforce federated connector & Computer Use tool are GA
#FotWGCP
Configure an ephemeral disk for Cloud Run services | Google Cloud Documentation
docs.cloud.google.com
November 6, 2026 at 8:23 AM
Features of the week on #GoogleCloud
#CloudRun Ephemeral disk (GA) & 12h long GPU jobs (prev)
#KnowledgeCatalog Knowledge Studio with graphs (prev)
#AlloyDB BigQuery sync (GA)
#BigQuery AI.PARSE_DOCUMENT (GA)
#GeminiEnterprise Salesforce federated connector & Computer Use tool are GA
#FotWGCP
#CloudRun Ephemeral disk (GA) & 12h long GPU jobs (prev)
#KnowledgeCatalog Knowledge Studio with graphs (prev)
#AlloyDB BigQuery sync (GA)
#BigQuery AI.PARSE_DOCUMENT (GA)
#GeminiEnterprise Salesforce federated connector & Computer Use tool are GA
#FotWGCP
BigQuery で GA4 と会員データをつなぐ: CRM の属性と行動を突合して、マーケターが答えられる問いを増やす <中田吉彦> が、Kindleストアで販売開始されました。
BigQuery で GA4 と会員データをつなぐ: CRM の属性と行動を突合して、マーケターが答えられる問いを増やす
著者：中田吉彦(著) 個人出版 2026/11/9(月)配信
5leaf.jp
November 9, 2026 at 5:23 AM
BigQuery で GA4 と会員データをつなぐ: CRM の属性と行動を突合して、マーケターが答えられる問いを増やす <中田吉彦> が、Kindleストアで販売開始されました。
BigQuery update on November 6, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_06_2026 #googlecloud You can now use BigQuery Graph and run Graph Query Language (GQL) queries when you use on-demand pricing.
November 6, 2026 at 6:20 PM
BigQuery update on November 6, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_06_2026 #googlecloud You can now use BigQuery Graph and run Graph Query Language (GQL) queries when you use on-demand pricing.
BigQuery update on November 9, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_09_2026 #googlecloud When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline tasks
November 9, 2026 at 8:20 PM
BigQuery update on November 9, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_09_2026 #googlecloud When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline tasks
BigQuery update on November 5, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_05_2026 #googlecloud The BigQuery Metadata curation console page has been removed
November 5, 2026 at 9:40 PM
BigQuery update on November 5, 2026 https://docs.cloud.google.com/bigquery/docs/release-notes#November_05_2026 #googlecloud The BigQuery Metadata curation console page has been removed
Zero-shot predictions in Pandas using the new BigQuery Accessor #googlecloud https://cloud.google.com/blog/products/data-analytics/bigquery-ai-functions-in-pandas/
BigQuery AI Functions in Pandas | Google Cloud Blog
Scale machine learning directly in Pandas and boost productivity using enterprise-grade BigQuery AI functions without leaving your DataFrame.
cloud.google.com
November 6, 2026 at 5:02 PM
Zero-shot predictions in Pandas using the new BigQuery Accessor #googlecloud https://cloud.google.com/blog/products/data-analytics/bigquery-ai-functions-in-pandas/
What happens if the data layer training your AI goes down? 💡 Join Google Cloud's Nick Orlove at Rubrik’s Cloud Resilience Summit to learn how to protect your BigQuery stack. Register today: https://rbrk.co/4dPmTln #GoogleCloud #GoogleCloudPartners #AI
November 9, 2026 at 4:46 AM
What happens if the data layer training your AI goes down? 💡 Join Google Cloud's Nick Orlove at Rubrik’s Cloud Resilience Summit to learn how to protect your BigQuery stack. Register today: https://rbrk.co/4dPmTln #GoogleCloud #GoogleCloudPartners #AI
Semantic aggregation over millions of rows in BigQuery with AI.AGG #googlecloud https://cloud.google.com/blog/products/data-analytics/semantic-data-aggregation-with-bigquery-and-ai-agg/ AI.AGG provides multi-level semantic aggregation function natively embedded within BigQuery.
Semantic data aggregation with BigQuery and AI.AGG | Google Cloud Blog
AI.AGG provides multi-level semantic aggregation function natively embedded within BigQuery.
cloud.google.com
November 5, 2026 at 5:02 PM
Semantic aggregation over millions of rows in BigQuery with AI.AGG #googlecloud https://cloud.google.com/blog/products/data-analytics/semantic-data-aggregation-with-bigquery-and-ai-agg/ AI.AGG provides multi-level semantic aggregation function natively embedded within BigQuery.
Snowflake, Databricks or BigQuery? Which to Pick | Kloudportal
Struggling to choose a data platform? Compare Snowflake, Databricks and BigQuery side by side. Read this blog to know more now! kloudportal.ai/snowflake-vs...
Struggling to choose a data platform? Compare Snowflake, Databricks and BigQuery side by side. Read this blog to know more now! kloudportal.ai/snowflake-vs...
Snowflake vs Databricks vs BigQuery: Best Platform
Snowflake, Databricks, or BigQuery? Compare architectures, pricing, and use cases to choose the right cloud data platform for your business.
kloudportal.ai
November 6, 2026 at 6:49 AM
Snowflake, Databricks or BigQuery? Which to Pick | Kloudportal
Struggling to choose a data platform? Compare Snowflake, Databricks and BigQuery side by side. Read this blog to know more now! kloudportal.ai/snowflake-vs...
Struggling to choose a data platform? Compare Snowflake, Databricks and BigQuery side by side. Read this blog to know more now! kloudportal.ai/snowflake-vs...
More details here
#CloudRun
- disk docs.cloud.google.com/run/docs/con...
- jobs docs.cloud.google.com/run/docs/con...
#AlloyDB
docs.cloud.google.com/alloydb/docs...
#KnowledgeCatalog
docs.cloud.google.com/knowledge-ca...
#BigQuery
docs.cloud.google.com/bigquery/doc...
#CloudRun
- disk docs.cloud.google.com/run/docs/con...
- jobs docs.cloud.google.com/run/docs/con...
#AlloyDB
docs.cloud.google.com/alloydb/docs...
#KnowledgeCatalog
docs.cloud.google.com/knowledge-ca...
#BigQuery
docs.cloud.google.com/bigquery/doc...
November 6, 2026 at 8:23 AM
⚡ Remote Senior Data Analyst (BigQuery): Health & Wellness (3-month project) at Truelogic.
✅ Apply here: https://jobicy.com/jobs/159718-senior-data-analyst-bigquery-health-wellness-3-month-project
#RemoteJobs #DataEngineer #DataScience #BusinessIntelligence #AnalyticsJobs
✅ Apply here: https://jobicy.com/jobs/159718-senior-data-analyst-bigquery-health-wellness-3-month-project
#RemoteJobs #DataEngineer #DataScience #BusinessIntelligence #AnalyticsJobs
Remote Senior Data Analyst (BigQuery): Health & Wellness (3-month project) at Truelogic - Jobicy
About Truelogic At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering...
jobicy.com
November 8, 2026 at 8:03 AM
⚡ Remote Senior Data Analyst (BigQuery): Health & Wellness (3-month project) at Truelogic.
✅ Apply here: https://jobicy.com/jobs/159718-senior-data-analyst-bigquery-health-wellness-3-month-project
#RemoteJobs #DataEngineer #DataScience #BusinessIntelligence #AnalyticsJobs
✅ Apply here: https://jobicy.com/jobs/159718-senior-data-analyst-bigquery-health-wellness-3-month-project
#RemoteJobs #DataEngineer #DataScience #BusinessIntelligence #AnalyticsJobs
GA4 shows sampled data, and thresholds and Google signals hide even more. Export the raw data to BigQuery and report from that. From Power Marketing with Kevin Lee. Free scaling roadmap: definedchase.com/roadmap
November 6, 2026 at 10:01 AM
GA4 shows sampled data, and thresholds and Google signals hide even more. Export the raw data to BigQuery and report from that. From Power Marketing with Kevin Lee. Free scaling roadmap: definedchase.com/roadmap
🔹 Descubre más detalles de #BigQuery TimesFM 3.0 y cómo funciona en la práctica mediante un caso real en ➡️ blog.damavis.com/bigquery-tim...
#BigData #forecasting #DataScience
#BigData #forecasting #DataScience
BigQuery TimesFM 3.0 para forecasting y detección de anomalías
Analizamos qué es y cómo funciona BigQuery TimesFM 3.0 y lo ponemos a prueba para hacer previsiones y forecasting y detección de anomalías en los datos
blog.damavis.com
November 5, 2026 at 8:40 AM
🔹 Descubre más detalles de #BigQuery TimesFM 3.0 y cómo funciona en la práctica mediante un caso real en ➡️ blog.damavis.com/bigquery-tim...
#BigData #forecasting #DataScience
#BigData #forecasting #DataScience
GCP ML Project: Explaining Loan Default Risk Predictions with Vertex AI, BigQuery and XGBoost #machinelearning #ai
GCP ML Project: Explaining Loan Default Risk Predictions with Vertex AI, BigQuery and XGBoost
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GCP ML Project: Explaining Loan Default Risk Predictions with Vertex AI, BigQuery and XGBoost
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Eyal Estrin
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10:08 AM (10 minutes ago)
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https://medium.com/google-cloud/gcp-ml-project-explaining-loan-default-risk-predictions-with-vertex-ai-bigquery-and-xgboost-1b074b683341
Eyal Estrin
Author | Cloud Architect | AWS • Azure • GCP Insights
Social: @eyalestrin
Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com
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dlvr.it
November 6, 2026 at 3:18 PM
GCP ML Project: Explaining Loan Default Risk Predictions with Vertex AI, BigQuery and XGBoost #machinelearning #ai
Entre las ventajas de #BigQuery TimesFM 3.0 destacan:
🔹 La rapidez operativa
🔹 Es un modelo nativo de BigQuery
🔹 Posee gran potencia gracias a su arquitectura
#BigData #forecasting
🔹 La rapidez operativa
🔹 Es un modelo nativo de BigQuery
🔹 Posee gran potencia gracias a su arquitectura
#BigData #forecasting
November 5, 2026 at 8:40 AM
Entre las ventajas de #BigQuery TimesFM 3.0 destacan:
🔹 La rapidez operativa
🔹 Es un modelo nativo de BigQuery
🔹 Posee gran potencia gracias a su arquitectura
#BigData #forecasting
🔹 La rapidez operativa
🔹 Es un modelo nativo de BigQuery
🔹 Posee gran potencia gracias a su arquitectura
#BigData #forecasting
→ Thunderduck Inc.
Thunderduck is a DuckDB-powered data warehouse built for AI agents. Every agent gets its own isolated engine. Join Postgres, BigQuery, Iceberg and S3 files in one SQL query, with no ETL. Every query is priced before it runs. Managed cloud, BYOC or on-prem.
#ai #product
Thunderduck is a DuckDB-powered data warehouse built for AI agents. Every agent gets its own isolated engine. Join Postgres, BigQuery, Iceberg and S3 files in one SQL query, with no ETL. Every query is priced before it runs. Managed cloud, BYOC or on-prem.
#ai #product
November 7, 2026 at 3:28 AM
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg #cloud
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg
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Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg
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Author | Cloud Architect | AWS • Azure • GCP Insights
Social: @eyalestrin
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dlvr.it
November 5, 2026 at 8:22 PM
Migrate Google BigQuery to an open lakehouse on AWS with Apache Iceberg #cloud
BigQueryの会話型分析が東京に対応、既存エージェントは再作成が必要
BigQueryの会話型分析が東京に対応、既存エージェントは再作成が必要
BigQueryに接続する会話型分析のAPIに東京の地域エンドポイントが加わった。保存時と機械学習処理時の所在保証が得られるが、既存のグローバルエージェントを東京へ移すにはエージェントの再作成が必要になる。
joho-todai.com
November 6, 2026 at 4:45 AM
BigQueryの会話型分析が東京に対応、既存エージェントは再作成が必要
Summing daily active users across date ranges is a classic pitfall in custom reporting. Using the deduplicated user metric directly via the API or BigQuery export avoids that inflation entirely.
November 7, 2026 at 10:42 PM
Summing daily active users across date ranges is a classic pitfall in custom reporting. Using the deduplicated user metric directly via the API or BigQuery export avoids that inflation entirely.