16.13. BigQuery & Looker Studio Case Study: Affiliate Performance Dashboard
Learn to leverage BigQuery and Google Cloud functions to connect to the ClickBank API, gaining insights into subscriber value and affiliate performance metrics.
16.12. Connecting Looker Studio to BigQuery
Discover how to directly connect to BigQuery tables and write custom queries in Looker Studio. Unlock the power of data with flexible, cost-effective solutions
16.11. Working with Data in BigQuery with SQL
Discover why SQL is essential for BigQuery. Learn to manipulate data effortlessly, perform analysis, and even tackle machine learning tasks with ease
16.10 Importing Data from Marketing Tools into BigQuery
Discover the best data transfer tools for seamless integration with BigQuery. Learn how to automate data extraction and enjoy full ownership of your information
16.9. Importing Google Analytics Data to BigQuery
Unlock the potential of your Universal Analytics data with the GA Add-on for Sheets. This guide covers setup, limitations, and how to manage your historical data effectively
16.8 Importing Data into BigQuery
Discover how to leverage Google Analytics 4 for free data streaming to BigQuery. Learn about Google Sheets integration and third-party tools for seamless data import
16.7. Google Sheet vs BigQuery Data Pipeline
Uncover the process of building a Google Sheet-based data pipeline. Streamline your data from Facebook, Google Analytics, and more for effective visualization in Looker Studio
16.6. When Should we Consider BigQuery?
Explore the right time to switch to BigQuery from Google Sheets. Understand the benefits of advanced data modeling, speed, and ownership in your analytics strategy
16.5. How Fast is BigQuery?
Explore BigQuery's parallel processing capabilities that transform data handling. Achieve rapid results on large datasets while optimizing costs effectively.
16.4. BigQuery Pricing Explained
Discover the cost structure of BigQuery to optimize your data analysis budget. Learn about storage and analysis pricing, including free usage tiers and discounts.
16.3. What is BigQuery?
Explore BigQuery on Google Cloud Platform for fully managed, scalable data warehousing. Enjoy flexible pricing, robust security, and fast reporting capabilities
16.2. Why Do We Need BigQuery?
Explore the challenges of ETL speed and data ownership. Understand the limitations of Looker Studio and how to enhance your data modeling capabilities
16.1. Introduction to BigQuery
Explore the benefits of BigQuery for your data needs. Understand its capabilities, how to integrate it with Looker Studio, and real-life case studies showcasing its power.
15.14. Managing Ownership of Assets in Looker Studio
Learn how to effectively manage ownership of Looker Studio reports and data sources. Discover the benefits of using a central email account for better organization
15.13. Restoring vs Report Publishing
Enhance your Looker Studio skills by learning the nuances of restoring and publishing reports. Manage drafts and version history for seamless client updates.
15.12. Version History in Looker Studio
Discover how to access and manage version history in Looker Studio. Track changes, restore previous versions, and enhance your reporting workflow effortlessly
15.11. Working on and Editing Published Reports
Master Looker Studio with our guide on live vs. draft modes. Understand how to edit reports and manage visibility to ensure a seamless experience for your viewers.
15.10. Auditing Dashboard Usage
Learn to monitor your Looker Studio reports with Google Workspace's Audit Log. Access detailed usage data, set alerts, and safeguard your reports from unauthorized actions
15.9. Tracking Usage of the Report
Discover how to optimize your Looker Studio reports by tracking their usage with Google Analytics. Learn to set up GA4 and Universal Analytics for better insights
15.8. Row-Level Security
Enhance your Looker Studio reports with row-level security. This guide covers setup, use cases, and tips for sharing sensitive data securely with users