{"version":"1.0","provider_name":"Digital Innovation Blog","provider_url":"https:\/\/blogs.zeiss.com\/digital-innovation\/en","author_name":"Michael Muck","author_url":"https:\/\/blogs.zeiss.com\/digital-innovation\/en\/author\/enmichaelmuck\/","title":"Data ingestion as the basic building block of an industrial data platform - Part 2","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"4dtIUGNRPD\"><a href=\"https:\/\/blogs.zeiss.com\/digital-innovation\/en\/data-request-data-platform-part-2\/\">Data ingestion as the basic building block of an industrial data platform \u2013 Part 2\u00a0<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/blogs.zeiss.com\/digital-innovation\/en\/data-request-data-platform-part-2\/embed\/#?secret=4dtIUGNRPD\" width=\"600\" height=\"338\" title=\"&#8220;Data ingestion as the basic building block of an industrial data platform \u2013 Part 2\u00a0&#8221; &#8212; Digital Innovation Blog\" data-secret=\"4dtIUGNRPD\" 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":"https:\/\/blogs.zeiss.com\/digital-innovation\/en\/wp-content\/uploads\/sites\/3\/2025\/04\/AdobeStock_969349613.png","thumbnail_width":1280,"thumbnail_height":720,"description":"Data ingestion is the key to optimizing production processes in the manufacturing industry. In part 2 of our series, we look at the different ingestion methods, their benefits and challenges as well as best practices for effective data ingestion. Find out how you can improve your data strategy!"}