---
title: "VOICE MODE - Querying & Analyzing Data with Custom GPT AWS - Azure Data Warehouse"
slug: voice-mode-query-analyze-database-aws-azure-custom-gpt
date_published: 2024-07-27T12:25:41.487Z
original_url: https://www.tigzig.com/post/voice-mode-query-analyze-database-aws-azure-custom-gpt
source: migrated
processed_at: 2025-12-02T10:00:00.000Z
---

# VOICE MODE - Querying & Analyzing Data with Custom GPT AWS - Azure Data Warehouse

See me talking to Custom GPT in voice mode. At the backend, it is talking to Azure Data Warehouse (MySQL). ... and analyzing profile of campaign responders ..

... am inserting conditional fields, asking questions about data, creating distributions based on calculated fields, and generating charts.

Not in the video, but I have also carried out a bunch of other tasks in voice mode: creating summary tables, merging summary tables back with modeling datasets, appending tables, dropping tables, etc.

> **Applications**

Senior Leadership Voice Dashboards / Adhoc query support / Quick Queries & Charts / Rapid data transformations / Intelligent IVR / Employee queries ... numerous applications ..

This is Part-2 of my series on connecting to and analyzing data on live data warehouses on AWS & Azure via Custom GPT and LLM Apps.

[Link to Part-1](https://lnkd.in/g-EFgTFU)

**[DW Series -Part 01] Analyze Live Data | AWS–Azure DW | via Custom GPT & LLM Apps**

Part-01: Lighthearted Introduction.

> **UPCOMING EPISODES : COMING NEXT**

**GPT-LLM Capability Demonstration Videos**

Data transformations, analysis, charts, table operations, inter-warehouse operations, operating on large data sets, ML model build.....and limitations, caveats & constraints

**How-To Guides**

With Codes / Schemas / GitHub Repos

Connecting to data warehouses, deploying FastAPI Server, GPT action schemas, deploying on external LLM Apps, security issues, LLM cost & options, prototype warehouse setup on AWS & Azure.

👉 **With special focus on how to use GPTs to get all this done quickly and efficiently**