<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"xmlns:dc="http://purl.org/dc/elements/1.1/"xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"xmlns:admin="http://webns.net/mvcb/"xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Lentiq Blog</title><link>https://lentiq.com/blog/</link><description><![CDATA[]]></description><pubDate>Tue, 06 Aug 2019 04:23:00 -0700</pubDate><language>en</language><latestFuelVersion>1.4.3</latestFuelVersion><docs>http://blogs.law.harvard.edu/tech/rss</docs><dc:rights>Copyright 2019</dc:rights><item><title>How to prepare for the Google Cloud Data Engineer Certification</title><link>https://lentiq.com/blog/how-to-prepare-for-the-google-cloud-data-engineer-certification</link><guid>https://lentiq.com/blog/how-to-prepare-for-the-google-cloud-data-engineer-certification</guid><pubDate>Fri, 24 May 2019 08:25:00 -0700</pubDate><description><![CDATA[<p>If you don&rsquo;t know by now, the GCP Professional Data Engineer certification will demonstrate your ability to design and build data processing systems and create machine learning models on GCP. I have taken the Professional Data Engineer exam from Google Cloud recently and, as seen below, I&rsquo;m happy to have passed it. I&rsquo;ve written a short guide, for anyone attempting to take this exam after March 29 (when the exam requirements were last updated). Read on to find out what resources worked for me.</p>]]></description></item><item><title>New in Lentiq: analytics &amp; ML workflow support, reusable code blocks, and model server</title><link>https://lentiq.com/blog/analytics-ml-workflow-support</link><guid>https://lentiq.com/blog/analytics-ml-workflow-support</guid><pubDate>Tue, 30 Apr 2019 02:12:00 -0700</pubDate><description><![CDATA[<p>We are releasing several new features in our data lake as a service platform designed to help you put data projects in production faster and easier: a distinguished workflow manager, a reusable code blocks system and a model server.</p>]]></description></item><item><title>How to use Lentiq with AWS</title><link>https://lentiq.com/blog/how-to-use-lentiq-edgelake-with-aws</link><guid>https://lentiq.com/blog/how-to-use-lentiq-edgelake-with-aws</guid><pubDate>Fri, 08 Feb 2019 00:00:00 -0800</pubDate><description><![CDATA[<p>Lentiq is a new data science platform that was specifically designed to work in multiple cloud environments. The deploy sequence is fast and easy regardless of the user's cloud provider. In order to better illustrate this, we made a quick 5-minute tutorial using Amazon Web Services account and set up a data pool on it. See below the detailed how-to article.</p>]]></description></item><item><title>How to use Lentiq with Google Cloud</title><link>https://lentiq.com/blog/how-to-use-lentiq-edgelake-with-google-cloud</link><guid>https://lentiq.com/blog/how-to-use-lentiq-edgelake-with-google-cloud</guid><pubDate>Tue, 05 Feb 2019 00:00:00 -0800</pubDate><description><![CDATA[<p>Lentiq is a new data science platform that was specifically designed to work in multiple cloud&nbsp;environments. The deploy sequence is fast and easy regardless of the user's&nbsp;cloud provider. In order to better illustrate this, we made a quick 5 minutes tutorial using Google Cloud account and set up a data pool on it. See below the detailed how-to article.</p>]]></description></item></channel></rss>