<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Cloud Pub/Sub on Brave New Geek</title><link>https://bravenewgeek.com/tag/cloud-pub/sub/</link><description>Recent content in Cloud Pub/Sub on Brave New Geek</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Jul 2020 16:07:41 -0500</lastBuildDate><atom:link href="https://bravenewgeek.com/tag/cloud-pub/sub/index.xml" rel="self" type="application/rss+xml"/><item><title>Implementing ETL on GCP</title><link>https://bravenewgeek.com/implementing-etl-on-gcp/</link><pubDate>Wed, 15 Jul 2020 15:53:17 -0500</pubDate><guid>https://bravenewgeek.com/implementing-etl-on-gcp/</guid><description>&lt;p&gt;ETL (Extract-Transform-Load) processes are an essential component of any data analytics program. This typically involves loading data from disparate sources, transforming or enriching it, and storing the curated data in a data warehouse for consumption by different users or systems. An example of this would be taking customer data from operational databases, joining it with data from Salesforce and Google Analytics, and writing it to an OLAP database or BI engine.&lt;/p&gt;</description></item></channel></rss>