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The power of large context windows for your documentation efforts
My colleague Jaana Dogan was pointing at the Anthropic’s MCP (Model Context Protocol) documentation pages which were describing how to…
Guillaume Laforge
Feb 14
FinOps — Google Cloud — Monitoring Optimization
FinOps — Google Cloud — Monitoring Optimization
In this article, we are going to discuss how to optimize cloud monitoring costs in Google Cloud, mainly onmetrics volume
Karthigayan Devan
Feb 16
Under 50 Lines of Python — AI Powered Book Summary Search (with Cloud SQL & Vertex AI)
Under 50 Lines of Python — AI Powered Book Summary Search (with Cloud SQL & Vertex AI)
Unlock the Power of LLMs: Building a Book Summary Search Engine.
Vasudev Sharma
Feb 16
When Users Message Faster Than AI Can Think- part 2
When Users Message Faster Than AI Can Think- part 2
Messages aggregation patterns for a scalable AI solution
Danilo Trombino
Feb 16
Keyword Arguments vs Dictionary Style: Avoiding config Errors in dbt for BigQuery
Fix dbt config errors: expected token ‘,’ got ‘:’ vs expected token ‘:’ got ‘=’ explained. Python Keyword Arguments vs Dictionary.
Rif Kiamil
Feb 15
Building the Future of Businesses: How AI-Powered Search & Customization are Reshaping E-Commerce
Building the Future of Businesses: How AI-Powered Search & Customization are Reshaping E-Commerce
Build data to AI agentic applications with Google Cloud
Abirami Sukumaran
Feb 14
Why is Searching Company Data So Hard?
Why is Searching Company Data So Hard?
Bring Joy Back to Your Data.
Allan Alfonso
Feb 13
Latest
SQL is all you need!
SQL is all you need!
Supercharge BigQuery with BigFunctions
Paul Marcombes
Feb 13
FAQ series on GCP ML Engineering — Part 3/22: Data Lifecycle and Product Catalog on Google Cloud
FAQ series on GCP ML Engineering — Part 3/22: Data Lifecycle and Product Catalog on Google Cloud
After diving into the fundamentals in Part 1 and Part 2, we’re now taking it a step further by exploring two critical areas for building…
Nikhil (Srikrishna) Challa
Feb 13
Data Harmony: Leveraging Embeddings, Vector Search, and LLMs for MDM
Data Harmony: Leveraging Embeddings, Vector Search, and LLMs for MDM
Harness the power of Embeddings and Gemini for Fuzzy Matching in MDM systems
Cornelius van Heerden
Feb 12
Fetch BigQuery data to Google Sheets using Google Apps Script
Fetch BigQuery data to Google Sheets using Google Apps Script
Welcome!
Aryan Irani
Feb 12
Shrink CloudSQL unused disk space using Database Migration Service
Shrink CloudSQL unused disk space using Database Migration Service
In many scenarios after a bulk delete operation or removal of huge temp files the actual storage utilized by the database reduces…
Arkapravo Banerjee
Feb 12
Solving Cross-VPC Cloud SQL Connectivity for DMS
Solving Cross-VPC Cloud SQL Connectivity for DMS
Purpose
Harinderjit Singh
Feb 11
LLM Cost Efficiency: Best Practices
LLM Cost Efficiency: Best Practices
This article is co-authored by Avgi Mouzenidou, Betty Cortiñas Lorenzo and Semih Duru.
Avgi Mouzenidou
Feb 11
From Zero to Deepseek on Cloud Run during my morning commute
From Zero to Deepseek on Cloud Run during my morning commute
Deploy Deepseek AI on Google Cloud Run in minutes! This tutorial covers serverless GPU inference, Ollama setup, and A/B testing.
Daniel Strebel
Feb 11
Build an Agentic Workflow for your BigQuery data using LangGraph and Gemini
Build an Agentic Workflow for your BigQuery data using LangGraph and Gemini
Building on my previous introduction to data agents, this blog explores how LangGraph can be used to build agentic workflows for your data…
Rachael Deacon-smith
Feb 11
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