Google Cloud Platform Technology Nuggets — April 1–15, 2024 Edition Welcome to the April 1–15, 2024 edition of Google Cloud Platform Technology Nuggets. Please feel free to give feedback on this issue and share the subscription form with your peers. Google Cloud Next 2024 Google Cloud Next 2024 was held from April 9–11, 2024 in Las Vegas and Generative AI was centrestage across the keynotes, sessions and more. It is difficult to put down all the blog posts that go into details of what was announced/demonstrated at the conference, but here are few links worth your time to catch u ..read more

It is my dream to accelerate some of the tedious MDM processes with Generative AI, Embeddings, Vector Search and more… Read on. Image showing a bike station with docked bikes to represent the use caseIntroduction At its core, Master Data Management (MDM) is about creating a single, reliable source of truth for your organization’s most critical data. Think of MDM as a meticulously curated library where every book (data point) is correctly labeled, up-to-date, and easy to find. Implementing robust MDM has always been a strategic necessity, but it often comes with complexities and resou ..read more

Consolidate Scattered A1Notations into Continuous Ranges on Google Spreadsheet using Google Apps Script Abstract Consolidate scattered cell references (A1Notation) in Google Sheets for efficiency. This script helps select cells by background color or update values/formats, overcoming limitations of large range lists. Introduction When working with Google Spreadsheets, there might be a scenario where you need to process scattered A1Notations (cell addresses in the format “A1”). This could involve selecting cells with specific background colors, updating cell values, or modifying cell ..read more

Business Scenario Healthcare Data Engine(HDE) is a popular GCP based solution to help Healthcare stakeholders transition to FHIR (Fast Healthcare Interoperability Resources). HDE provides pipelines which helps convert non FHIR data to FHIR and reconciles them to form a single Longitudinal Patient Record, which then makes deriving insights from patient data easy and quick. One of the core components of HDE is the Data Mapping Language known as Whistle. This Open Source Data Mapping language is used for converting complex, nested data from one schema to another. For Example, from HL7 to&nbs ..read more

Shall I? Shan’t I? It’s been a couple of days since Google Cloud Next ’24 wrapped up, and I’ve seen recaps appear on Medium already. So I ask myself: “Should I bother this year?” To recap or not to recap… I’ve decided “Yes” for two reasons… I’ve been doing recaps of these events for a few years, so I’d hate to break my streak! (Check out here, and here.) I find writing stuff down helps me learn and remember. So even if no one else finds this useful, I will! This year’s Google Cloud Next was in Las Vegas. Alas, this is the Next in the last few that I haven’t been ..read more

My obsession with Gemma continues. Folks new to the Gemma model can revisit my previous blog link. In brief Gemma is the family of lightweight, state of the art (SOTA) open models powered by the same technology powering one of the most popular Google Cloud Gemini models. In this blog we will get started with fine tuning with Gemma with LoRA. Lets understand first a bit on fine tuning. One of the reasons finetuning is picking up is the reason Large language Models(LLMs) are not trained on specific tasks or domain related data. Primarily LLMs often called as foundational models ar ..read more

On Google Cloud you can use Log Analytics to query and analyze your log data, and then you can view or chart the query results. BigQuery is Google Cloud’s fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. While BigQuery offers built-in observability capabilities like the INFORMATION_SCHEMA views, detailed logging remains crucial for in-depth usage analysis, auditing, and troubleshooting potential issues. This article will walk you through how to analyze BigQuery ..read more

Welcome to the latest installment in the Google Cloud Adoption and Migration: From Strategy to Operation series. Previously, we covered the various considerations that are part of LZ design. In this part we’ll cover: Establishing your LZ Core Project Team. Establishing the support you need. Workshopping the design considerations. Agreeing and documenting your LZ design decisions in the LZ Design Document. Deploy! Technical Onboarding? Google refers to the overall process of setting up a Cloud environment as “Technical Onboarding”. Historically it was referred to as “Cloud Foun ..read more

Google Cloud Platform (GCP) offers several features that can make network management streamlined and efficient compared to traditional on-premise deployments. There are some benefits of using network management in GCP: Simplified Setup and ManagementAutomation and pre-configured settings make network configuration faster and less error-prone. Scalability on DemandThe platform automatically scales network resources to meet your application’s fluctuating traffic demands. Flexible CustomizationGCP offers a wide range of networking options and services to tailor your network environmen ..read more

In this blog, we are going to highlight some keynotes of the Kubeflow Summit Europe 2024 which was held this year at Paris. Unfortunately, i couldn’t assist physically but i watched lately the cncf playlist on youtube and tried to do a small wrap up. ?What is Kubeflow ? Kubeflow is a Kubernetes-native, open-source framework for developing, managing, and running machine learning (ML) workloads. Kubeflow is an AI/ML platform that brings together several tools covering the main AI/ML use cases: data exploration, data pipelines, model training, and model serving. What is Kubeflow us ..read more