How to Join Parquet & JSON Files in ThoughtSpot Analyst Studio

Stop manually juggling mismatched data formats! 🛠️ This video demonstrates how to join Parquet and JSON files directly within ThoughtSpot Analyst Studio’s Python Notebook to create a single, enriched dataset.

What you will see:

• Simulating Real-World Pipelines: Converting a dataset into a Parquet file and reading it into a data frame to mimic workflows from external object storage like AWS S3.
• Direct JSON Integration: Accessing a JSON file (containing regional sales leaders and owners) directly from Google Drive via a share link—avoiding manual downloads.
• Advanced Data Joining: Merging 24,000 rows of sales data with regional metadata by joining the "building country" and "country" fields within a Pandas data frame.
• Automated Publication: Exporting the newly enriched "sales data with region" dataset directly to ThoughtSpot with just a few lines of code.
• Instant AI-Powered Analysis: Transitioning from raw code to natural language search, demonstrating how to query "total sales by nature" using the newly published data.

This is a must-watch for data professionals looking to unify complex, multi-format data sources and deliver searchable, AI-ready insights in one continuous workflow.

➡️ Start your advanced analysis with Analyst Studio: https://bit.ly/4pDnOZY