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Would you like to influence Google Cloud’s BI roadmap more? I’d like to invite you to join the Google Cloud BI...
Hi everyone, What is the best way to automate data collection and storage from Google Map API (nearby search)?...
Hello all,Could you please suggest a way to get a number of "undelivered messages" in the Pub/Sub in the speci...
Data security is the practice of protecting digital information from unauthorized access, corruption, or theft...
We are onboarding our data warehouse to BigQuery according to company direction. We facing a problem which blo...
I would like to know if someone can explain to me how data are classified on BigQuery, I don't understand how ...
I want to convert IPv6 to a number in bigquery.I found the Net functions useful for Ipv4 address to convert It...
This month's Learning Challenge, all around the Looker self-service data analytics platform, is ending Aug 31s...
I've linked between google analytics and BigQuery but nothing shows on the console of BQ that indicates that t...
Complete the Looker Learning Challenge, (including posting a screenshot of your new Skill Badge to the Learnin...
I am new to Google Cloud Platform, so this is a question for those who have experience with GCP suite of produ...
I am trying to get a count for how many meetings (specifically calendar events) are happening per day within o...
This is the discussion space to talk about all things Data Analytics related.
Learning complex technologies is hard. The sheer volume of information to absorb, along with the need to develop practical skills, can be overwhelming. Google Kubernetes Engine (GKE) is one of those complex technologies.
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?