Tag: Spanner
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Cloud Blog: New Cassandra to Spanner adapter simplifies Yahoo’s migration journey
Source URL: https://cloud.google.com/blog/products/databases/new-proxy-adapter-eases-cassandra-to-spanner-migration/ Source: Cloud Blog Title: New Cassandra to Spanner adapter simplifies Yahoo’s migration journey Feedly Summary: Cassandra, a key-value NoSQL database, is prized for its speed and scalability, and used broadly for applications that require rapid data retrieval and storage such as caching, session management, and real-time analytics. Its simple key-value pair structure…
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Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…
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Cloud Blog: Spanner and PostgreSQL at Prefab: Flexible, reliable, and cost-effective at any size
Source URL: https://cloud.google.com/blog/products/databases/how-prefab-scales-with-spanners-postrgesql-interface/ Source: Cloud Blog Title: Spanner and PostgreSQL at Prefab: Flexible, reliable, and cost-effective at any size Feedly Summary: TL;DR: We use Spanner’s PostgreSQL interface at Prefab, and we’ve had a good time. It’s easy to set up, easy to use, and — surprisingly — less expensive than other databases we’ve tried for…
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Cloud Blog: Better together: BigQuery and Spanner expand operational insights with external datasets
Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-bigquery-external-datasets-for-spanner/ Source: Cloud Blog Title: Better together: BigQuery and Spanner expand operational insights with external datasets Feedly Summary: Data analysts have traditionally struggled to analyze data across different databases. Because of data silos, they need to copy data from transactional databases into analytical data stores using ETL processes. BigQuery made the problem a…