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Getting 🍨 Ice Cream 🍦 Recommendations at Scale with Gemini, Embeddings, and Vector Search
Getting 🍨 Ice Cream 🍦 Recommendations at Scale with Gemini, Embeddings, and Vector Search
“I wonder if there’s another cookie dough ice cream as good as the one I had yesterday!” — me, more often than I’d like to admit 😀
Alok Pattani
Sep 4
From Idea to Reality: Building the Instant Web with Gemini (Part 1)
From Idea to Reality: Building the Instant Web with Gemini (Part 1)
Inspiration
Thu Ya Kyaw
Sep 3
Next-Gen Cloud Network Security: Mastering NGFW Enterprise in GCP
Next-Gen Cloud Network Security: Mastering NGFW Enterprise in GCP
NGFW Enterprise series - Dive into NGFW Enterprise: what it is, how it works and some recommendations for its deployment.
Luca Prete
Sep 2
Securing Customer Data in the Cloud: A Multi-Layered Approach for ‘Bean There, Brewed That’
Securing Customer Data in the Cloud: A Multi-Layered Approach for ‘Bean There, Brewed That’
As a Professional Data Engineer, you know that protecting sensitive information is paramount in any data-driven project. But how do you…
Fermin Blanco
Sep 1
Optimize BQ SQL: Cost & Performance with Clustering
Optimize BQ SQL: Cost & Performance with Clustering
In the realm of Big Data analytics, where massive datasets are the norm, query efficiency is paramount. Every millisecond of processing…
Naitik Gada
Sep 4
AI Security frameworks in-depth — Part 2
AI Security frameworks in-depth — Part 2
In Part 1 of this series, we highlighted various AI Security frameworks and discussed their relevance to different roles within an…
Sita Lakshmi Sangameswaran
Sep 3
10 GKE networking problems and how to resolve them
10 GKE networking problems and how to resolve them
Google Kubernetes Engine (GKE) offers a powerful and scalable platform for orchestrating containerized applications. However, like any…
Spyros Kyriazatis
Sep 3
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Securing Generative AI: Defending Against Prompt Injection
Securing Generative AI: Defending Against Prompt Injection
Traditionally, security has always operated on a “Zero Trust” principle, which means that no one is trusted until they have proven…
Sunil Kumar Jang Bahadur
Sep 4
String Matching with BigQuery Machine Learning: A Deep Dive into Solving the No-Matching-Key Puzzle
String Matching with BigQuery Machine Learning: A Deep Dive into Solving the No-Matching-Key Puzzle
In the dynamic world of data analysis, joining tables based on common keys is a fundamental operation. But what happens when the keys you…
Vikas Pandey
Sep 4
Conquering SAP Tech Debt: Applying Richard Seroter’s Wisdom with the ABAP SDK
Conquering SAP Tech Debt: Applying Richard Seroter’s Wisdom with the ABAP SDK
Richard Seroter’s recent article on “4 ways to pay down tech debt” struck a chord. It’s a challenge we often grapple even with SAP…
Ameya Suvarna
Sep 4
Deploy your applications on GCP’s serverless platform using Cloud Build
Deploy your applications on GCP’s serverless platform using Cloud Build
In this blog, we will be going to see how we can deploy Spring Boot Java applications onto GCP serverless platform using Cloud Build yaml…
Vaibhav Ambike
Sep 4
NCC with hybrid spokes and dynamic route exchange
NCC with hybrid spokes and dynamic route exchange
Overview — NCC or Network Connectivity Center, allows reduced management complexity to connect together the different modes of…
Dineshbathla
Sep 4
Hey Google (Cloud API), trust my AWS Application
Hey Google (Cloud API), trust my AWS Application
Learn how to use Workload Identity Federation to authenticate AWS apps for accessing Google Cloud Services with a focus on EC2 and ECS.
Daniel Strebel
Sep 3
BigTesty: Integration testing library with BigQuery
BigTesty: Integration testing library with BigQuery
1. Why ?
Mazlum Tosun
Sep 3
AI Security frameworks in a nutshell — Part 1
AI Security frameworks in a nutshell — Part 1
In technology organizations today, some of the most labor intensive activities you’ll work on have to do with compliance, which often means…
Sita Lakshmi Sangameswaran
Sep 3
Building a Low-Code Search Agent for Unstructured Data with Vertex AI
Building a Low-Code Search Agent for Unstructured Data with Vertex AI
Retrieval Augmented Generation (RAG) is a powerful method that leverages large language models (LLMs) to work alongside your private data…
Yash Mehta
Sep 3
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