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Empowering Data Analysts with Big Functions

In this episode, we explore how to empower data analysts by using the Big Functions package created by Paul. Paul introduces himself and explains his role at Nickel, a fintech company. Paul discusses the inception of Big Functions, which aims to help data analysts globally by providing various tools and functions to streamline their work. He elaborates on how Big Functions can automate and simplify repetitive tasks for data analysts, such as enriching data with web metadata, sending Slack notifications, and even generating HTML reports directly within BigQuery. The episode showcases practical examples, including sending automated Slack messages about popular courses and retrieving metadata for referral URLs. Paul highlights future plans for Big Functions, such as implementing visualization functions to further enhance data analysis capabilities. This episode is a must-watch for anyone looking to boost their data analysis efficiency with innovative tools.

00:00 Introduction and Overview
01:15 Empowering Data Analysts with Big Functions
02:09 The Genesis of Big Functions
03:09 Challenges Faced by Data Analysts
07:04 How Big Functions Work
17:04 Deploying Big Functions
23:22 Custom Functions and Internal Tools
26:09 Real-Life Examples and Use Cases
30:12 Sending Slack Notifications with Big Functions
34:05 Combining Functions for Enhanced Workflows
36:24 Future Plans and Visualization Functions
38:36 Interactive Reports and Final Thoughts


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