BigQueryのAI.CAUSAL_EFFECTで介入効果を分析（プレビュー）Feature You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview.Google Cloud BigQuery Release Notesで原文を確認 4ページ目。データ基盤・DWHの公式リリースノートと公式ブログを3193件掲載。最新は2026年9月10日のGoogle BigQuery「BigQueryのAI.CAUSAL_EFFECTで介入効果を分析（プレビュー）」。新機能、仕様変更、運用影響を確認できます。
データ基盤・DWH
2026年9月10日(木)
BigQueryのAI.CAUSAL_EFFECTで介入効果を分析（プレビュー）Feature You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview.Google Cloud BigQuery Release Notesで原文を確認 BigQueryのML.METRICSで機械学習モデルの評価指標を計算Feature You can now use the ML.METRICS function to compute evaluation metrics for machine learning classification or regression tasks on any table or query that contains actual and predicted values.Google Cloud BigQuery Release Notesで原文を確認 BigQueryの会話分析でML.CORRELATIONを利用可能にFeature Conversational analytics in BigQuery now supports the ML.CORRELATION function to calculate statistical correlations between a target column and one or more metric columns in a table.Google Cloud BigQuery Release Notesで原文を確認 
ClickHouse 26.8でストリーミングHTTP APIを提供ClickHouse release 26.8ClickHouse Blogで原文を確認 ClickHouse CloudとSnowflakeのリアルタイム性能を比較ClickHouse Cloud vs. Snowflake: What drives the real-time performance-per-dollar gapClickHouse Blogで原文を確認 ClickHouseがChatGPT WorkのData agentローンチパートナーにClickHouse is a launch partner for the Data agent in ChatGPT WorkClickHouse Blogで原文を確認 ClickHouseでParquetデータをMySQLへ読み込むLoading Parquet data into MySQL with ClickHouseClickHouse Blogで原文を確認 ClickHouseのオンデマンドコンピュートAnnouncing On-Demand Compute: Instant compute for your most intensive workloadsClickHouse Blogで原文を確認 WalShadowによるPostgresからClickHouseへの高速レプリケーションIntroducing WalShadow: Sub-second Postgres replication to ClickHouse from physical WALClickHouse Blogで原文を確認 
DuckDB 2.0が高速化した理由Why DuckDB 2.0 is faster | MotherDuckMotherDuck Blogで原文を確認