GCP to Microsoft SQL Server Data Transfer
Hello all,I am brand new to GCP so forgive me for my very vague question but I am trying to transfer data from...
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Hello all,I am brand new to GCP so forgive me for my very vague question but I am trying to transfer data from...
I have a rather unexpected problem with BigQueryWhen importing CSV data from Funnel to BigQuery. I see that Bi...
Error 1: Plantilla de archivo adjunto de la tarea 'Enviar un correo electrónico'. Expresión '[1.1 Es exclusivo...
task is for cross replicationmaster lies in test server and slave in devHow do I Enable SSL in my master insta...
CloudSQL with PostgreSQL very slow performance (compared to PostgreSQL performance on a physical machine, thre...
Hi, im pretty new in this GCP thing, I already worked for the first time in Microsoft SQL Server database, whi...
Hello all,I work with a postgres instance deployed on a GCP cloudsql.I enabled the related flag cloudsql.anon ...
Hi all,I am configuring a Cloud SQL postgres instance to use dynamic masking functionality in the cloudsql.ano...
I have created a bigquery dataset and table like my-test-project-388514.babanames.all-baby-names. Added the Se...
So I am trying to use firestore with google's ruby client and running the code sample provided in documentatio...
Hello, I have a problem I can not see the source code inside the console of the Cloud function, it should be n...
I found in the documentation that CUD for Cloud SQL instances can be purchased in the projects' Billing page. ...
Hi there, We are trying to connect an onpremise postgresql for migration to GCP using migration tool. The data...
Hello. I would like to know how I can back up my firestore database automatically with some frequency, for exa...
Hello, I am trying to figure out webhooks in purpose to integrate with my workflow in Hubspot. The workflow is...
I've created an instance with a MySQL database, and I would like to know how much money is going to cost the i...
I have set an alert for "Cloud SQL Database - Memory utilization" with a threshold value of 0.8, assuming the ...
I want to create table in big query from drive, inserting google spreadsheet link, but it keeps to fail readin...
Hello!I've had a billing issue while being on holiday. I did sort it out after a week. However, the only bigta...
Hi AllI need a guidance with recommendations, tips and migration tools to assess a Sybase database with 300 GB...
We've had daily automated backups for our Cloud SQL instances for a few years now, but when I try to query for...
Hello,We've recently experienced problems with our instances (Mysql 8.0.18 / 8.0.30) in two separate occasions...
Something weird has happened with my BigQuery federated queries hitting my Cloud SQL (MySQL) instance. On the ...
Hi Guys! We are in the process of migrating a PostgreSQL database to Cloud SQL and we have encountered the req...
Hello Everyone,We have a requirement to implement multi-region DB for PostgreSQL database. Already we have a d...
Hello,Facebook requires that we prove our data is encrypted at rest based on the following:https://developers....
Hi Guys,Good day!I would like to inquire about the integration capabilities of Dataplex. Specifically, I am in...
We would like to replicate data to another Postgres server (both provisioned using Google Cloud SQL) by using ...
I am trying to establish a datastream connection to our Cloud SQL postgres instance. The "Allow only SSL conne...
We are receiving @firebase/database: FIREBASE WARNING: The Firebase database 'database name' has exceeded its ...
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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.
Ready to unlock the secrets hidden in your product data? This tutorial demonstrates how BigQuery Data Preparation can clean and transform your raw data into actionable business intelligence, using a realistic example from the Fashion and Beauty industry.