Experimental News Clipping Site

Tag: query performance

  • Cloud Blog: How AlloyDB unifies OLTP and OLAP workloads for Tricent

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    Source URL: https://cloud.google.com/blog/products/databases/tricent-standardizes-on-alloydb-for-olap-and-oltp-workloads/ Source: Cloud Blog Title: How AlloyDB unifies OLTP and OLAP workloads for Tricent Feedly Summary: Editor’s Note: Tricent Security Group A/S, a leader in file-sharing security, faced efficiency and performance challenges with their PostgreSQL database infrastructure. Their OLTP workloads needed to process millions of real-time updates efficiently, while their OLAP workloads needed…

  • Cloud Blog: Google Cloud database news roundup, October 2024 edition

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    Source URL: https://cloud.google.com/blog/products/databases/google-cloud-database-news-for-october-2024/ Source: Cloud Blog Title: Google Cloud database news roundup, October 2024 edition Feedly Summary: Leaves are falling, temperatures are dropping, but things were heating up in the world of Google Cloud databases this October! Here’s a recap of the latest news and updates. Key databases announcements  Database Center simplifies database management with…

  • Cloud Blog: C4A VMs now GA: Our first custom Arm-based Axion CPU

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    Source URL: https://cloud.google.com/blog/products/compute/try-c4a-the-first-google-axion-processor/ Source: Cloud Blog Title: C4A VMs now GA: Our first custom Arm-based Axion CPU Feedly Summary: At Google Next ‘24, we announced Google Axion Processors, our first custom Arm®-based CPUs designed for the data center. Today, we’re thrilled to announce the general availability of C4A virtual machines, the first Axion-based VM series,…

  • Cloud Blog: Get up to 100x query performance improvement with BigQuery history-based optimizations

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    Source URL: https://cloud.google.com/blog/products/data-analytics/new-bigquery-history-based-optimizations-speed-query-performance/ Source: Cloud Blog Title: Get up to 100x query performance improvement with BigQuery history-based optimizations Feedly Summary: When looking for insights, users leave no stone unturned, peppering the data warehouse with a variety of queries to find the answers to their questions. Some of those queries consume a lot of computational resources…