Understanding how to work with nested and repeated Google Analytics fields stored in BigQuery is key to unlocking the full value of your analytics data.
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Unnesting Data From GA4 Exports in BigQuery
by Paul Cote on Oct 16, 2025
Organizing Large Amounts of Data from Multiple Sources
by Lance Abbrederis on Oct 14, 2025A huge challenge for digital teams is figuring out how to collect, organize, and connect all their data so it can actually drive decisions. We will share a roadmap for managing and organizing large datasets from multiple sources.
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The ROI of Reliable Data Pipelines: Why Downtime Costs More Than You Think
by Shannon Gantt on Oct 09, 2025When pipelines break, data becomes delayed, corrupted, or lost, creating hidden costs that compound over time. Here are five key insights into how to avoid this.
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Getting Accurate User Counts in Looker Studio with GA4 and BigQuery
by Martin Donnells on Sep 23, 2025Overcoming inflated or inconsistent user metrics when comparing Google Analytics 4 export in BigQuery to Looker Studio's GA4 connector.
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Emerging Trends in ETL: What's Next for Data Integration
by Shannon Gantt on Sep 16, 2025Continuous Queries let you process data the moment it streams into BigQuery, expanding your data warehouse into a real-time data engine.
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Making Sense of BigQuery Continuous Queries
by Paul Cote on Sep 09, 2025Continuous Queries let you process data the moment it streams into BigQuery, expanding your data warehouse into a real-time data engine.
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Modern Data Pipelines - A Guide to Data Management, Real-Time Analytics, and Leveraging the Right Kind of AI
by Jenny Jones on Aug 14, 2025New data transfer platforms like Launchpad connect to dozens of APIs, automate repetitive workflows, deliver real-time streaming, and integrate directly with visualization and AI tools.
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