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];(function(){LITHIUM.AngularSupport=function(){function g(a,c){a=a||{};for(var b in c)"[object object]"===Object.prototype.toString.call(c[b])?a[b]=g(a[b],c[b]):a[b]=c[b];return a}var d,f,b={coreModule:"li.community",coreModuleDeps:[],noConflict:!0,bootstrapElementSelector:".lia-page .min-width .lia-content",bootstrapApp:!0,debugEnabled:!1,useCsp:!0,useNg2:!1},k=function(){var a;return function(b){a||(a=document.createElement("a"));a.href=b;return a.href}}();LITHIUM.Angular={};return{preventGlobals:LITHIUM.Globals.preventGlobals,
restoreGlobals:LITHIUM.Globals.restoreGlobals,init:function(){var a=[],c=document.querySelector(b.bootstrapElementSelector);a.push(b.coreModule);b.customerModules&&0 Welcome to the In part one of this series, we explored how to achieve high availability
for the SAP application layer using Windows Server Failover Clustering
(WSFC) on Google Cloud Platform (GCP). Now, let's dive into the crucial
aspect of database layer high availability, focusing on MS SQL Server's
Always On Availability Groups. Data security and data privacy programs are not one-size-fits-all, as
there are multiple ways to structure and execute such programs. Learn how to build an end-to-end data to AI solution on Google Cloud
using BigQuery and Vertex AI, including a practical example of a
real-time fraud detection system and the architecture behind it.
Find answers, ask questions, and connect with Google Cloud experts.
Find answers, ask questions, and connect with Google Workspace experts.
The official forum for Q&A about creating applications with AppSheet.
The place for data-driven discussion and all your Looker questions, answers, and excitement.
The place to connect with Google Cloud Security users and security practitioners from around the world.
Share best practices around preparing for certification and network with others on your path.
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A Place to Collaborate With Peers and Product Experts
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Build an end-to-end data to AI solution on Google Cloud with BigQuery and Vertex AI
