OFFER EXTENDED: 50% off ANY Google Cloud certification until April 30.
Hi everyone, Great news! We've recently extended the deadline on our 50% voucher code for ANY certification in...
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Hi everyone, Great news! We've recently extended the deadline on our 50% voucher code for ANY certification in...
Looking to upskill in Google Cloud Application Integration? Our latest lab, Build and Configure an Integration...
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We are thrilled to announce a significant enhancement to Google Cloud NetApp Volumes with the integration of Assured Workloads. This powerful combination empowers organizations to deploy NetApp Volumes in a rigorously secure and controlled environment, specifically designed to meet the stringent compliance demands of highly regulated sectors such as government, healthcare, and financial services.
In many real-world applications, we encounter tasks that sit at the intersection of semantic understanding and contextual judgment. One such common scenario is determining if a set of keywords truly aligns with a brand, its products, and its messaging (like a tagline). This isn't just about whether the words are synonyms; it's about relevance in a specific context. Does "eco-friendly" align well with a fast-fashion brand's new line, even if the tagline mentions "sustainable materials"? Does "high-performance" fit a budget-friendly product?
Metadata is essential for various data initiatives, from deploying NLP solutions and chat with your data applications to enabling semantic search and establishing a business glossary. However, the manual effort of documenting every data attribute within a platform can be time-consuming and error-prone. At Google Cloud Next, we announced BigQuery Data Insights and Automated Metadata Generation, two powerful capabilities that simplify this process using Gen AI.