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Google Cloud Spanner is a distributed relational database service that runs on Google Cloud. It is designed to support global online transaction processing deployments, SQL semantics, highly available horizontal scaling and transactional consistency.
Interest in Google Cloud Spanner centres on the cloud database’s ability to provide both availability and consistency. These traits are usually considered at odds with each other, with data designers typically making tradeoffs to emphasize either availability or consistency. The trade-off has been described most vividly in the CAP Theorem, which underpinned a general move to NoSQL databases for availability and scalability in web and cloud systems. In pursuing both system availability and data consistency, Google Cloud Spanner combines SQL and NoSQL traits. Continue reading
Looking to infuse machine learning into your cloud apps? Use this list of terms to explore which Google cloud services offer features for speech-to-text, image analysis and more.
Artificial intelligence isn’t science fiction anymore. For some enterprises, the technology already provides many benefits. With machine learning algorithms, for example, applications can “learn” from and predict possible outcomes from ever-growing data sets. Top cloud vendors, including Google, now offer various services that bring AI and machine learning to the enterprise.