<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BigQuery on Mwongera Evans</title><link>https://mwongera.online/tags/bigquery/</link><description>Recent content in BigQuery on Mwongera Evans</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sat, 20 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://mwongera.online/tags/bigquery/index.xml" rel="self" type="application/rss+xml"/><item><title>Scaling BigQuery Pipelines: End-to-End Governance Inside VPC Service Controls</title><link>https://mwongera.online/cloud/google/posts/bigquery-vpc-sc/</link><pubDate>Sat, 20 Jun 2026 00:00:00 +0000</pubDate><guid>https://mwongera.online/cloud/google/posts/bigquery-vpc-sc/</guid><description>For enterprise-grade data platforms, the analytical power of BigQuery is unparalleled. However, its immense utility also presents a significant attack surface for data exfiltration if not rigorously secured. While Identity and Access Management (IAM) controls access based on identity and network firewalls manage traffic at the packet level, a critical layer of defense is often overlooked: the API-level perimeter. This article details the implementation of Google Cloud's VPC Service Controls (VPC SC) to establish an impenetrable security boundary around your BigQuery pipelines, safeguarding sensitive data from exfiltration and ensuring stringent compliance.</description></item></channel></rss>