{"version":"1.0","provider_name":"KahawaTungu","provider_url":"https:\/\/kahawatungu.com","title":"Data Pipelines: Practical Data Engineering Approaches for Efficient Analytics","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"FLJZKrW6LP\"><a href=\"https:\/\/kahawatungu.com\/data-pipelines-practical-data-engineering-approaches-for-efficient-analytics\/\">Data Pipelines: Practical Data Engineering Approaches for Efficient Analytics<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/kahawatungu.com\/data-pipelines-practical-data-engineering-approaches-for-efficient-analytics\/embed\/#?secret=FLJZKrW6LP\" width=\"600\" height=\"338\" title=\"&#8220;Data Pipelines: Practical Data Engineering Approaches for Efficient Analytics&#8221; &#8212; KahawaTungu\" data-secret=\"FLJZKrW6LP\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"http:\/\/kahawatungu.com\/wp-content\/uploads\/2024\/12\/campaign-creators-pypeCEaJeZY-unsplash.jpg","thumbnail_width":640,"thumbnail_height":463,"description":"In the modern world driven by data analysis needs of businesses has surged immensely with an influx of data being gathered; however just having data is not enough to derive value from it Processing raw data to uncover valuable insights demands streamlined data pipelines These automated mechanisms transfer data, from various origins tidy it up"}