{"version":"1.0","provider_name":"insideBIGDATA","provider_url":"https:\/\/insidebigdata.com","author_name":"Contributor","author_url":"https:\/\/insidebigdata.com\/author\/contributor\/","title":"Rethinking How Data is Stored and Processed Brings Scale and Speed to Modern Data-Intensive Applications - insideBIGDATA","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"cHY9CVoDOx\"><a href=\"https:\/\/insidebigdata.com\/2023\/11\/28\/rethinking-how-data-is-stored-and-processed-brings-scale-and-speed-to-modern-data-intensive-applications\/\">Rethinking How Data is Stored and Processed Brings Scale and Speed to Modern Data-Intensive Applications<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/insidebigdata.com\/2023\/11\/28\/rethinking-how-data-is-stored-and-processed-brings-scale-and-speed-to-modern-data-intensive-applications\/embed\/#?secret=cHY9CVoDOx\" width=\"600\" height=\"338\" title=\"&#8220;Rethinking How Data is Stored and Processed Brings Scale and Speed to Modern Data-Intensive Applications&#8221; &#8212; insideBIGDATA\" data-secret=\"cHY9CVoDOx\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/*! This file is auto-generated *\/\n!function(c,d){\"use strict\";var e=!1,o=!1;if(d.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(\/[^a-zA-Z0-9]\/.test(t.secret));else{for(var r,s,a,i=d.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=d.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=new RegExp(\"^https?:$\",\"i\"),l=0;l<n.length;l++)n[l].style.display=\"none\";for(l=0;l<i.length;l++)if(r=i[l],e.source!==r.contentWindow);else{if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if(\"link\"===t.message)if(s=d.createElement(\"a\"),a=d.createElement(\"a\"),s.href=r.getAttribute(\"src\"),a.href=t.value,!o.test(a.protocol));else if(a.host===s.host)if(d.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener(\"message\",c.wp.receiveEmbedMessage,!1),d.addEventListener(\"DOMContentLoaded\",t,!1),c.addEventListener(\"load\",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),a=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),i=d.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>\n","thumbnail_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/Data_shutterstock_1055190668_special.jpg","thumbnail_width":1100,"thumbnail_height":550,"description":"In this contributed article, Prasad Venkatachar, Sr Director \u2013 Products & Solutions at Pliops, discusses how modern data-intensive applications that include E-commerce, Social Networking, Messaging, and online gaming services heavily depend on Key-Value stores. All these business-critical applications demand state-of-the-art data storage and processing infrastructure to serve the data at high throughput with low latency and highly fault-tolerant and yet cost-effective. To achieve this blend of high performance and cost effectiveness, we must fundamentally reimagine how data is stored and processed at scale and speed. This article will cover how organizations can accomplish these design objectives and architect state-of-the-art data storage and processing infrastructure."}