Case Study: Sales Analytics with Databricks Genie

बुनियादीकौशल स्तर

अपडेट किया गया 06/2026

Build a Databricks Genie space end-to-end: descriptions, synonyms, instructions, table relationships, example queries, monitoring, and benchmarks.

अपना मुफ़्त खाता बनाएं

Google के साथ जारी रखें

अधिक विकल्प दिखाएँ

या

जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।

पाठ्यक्रम विवरण

Databricks Genie answers data questions in natural language, but the quality of those answers depends on how the space is configured. In this case study, you take a Genie space through its full lifecycle. As a data analyst at Wanderbricks, you start from a minimal setup and build it out: defining column descriptions and synonyms, adding instructions, connecting tables, and saving example and parameterized queries. You then move into operations, using monitoring to surface weak answers and benchmark questions to measure quality. By the end, you can take a Genie space from setup to production-ready.

पूर्व आवश्यकताएं

Introduction to Databricks Genie

Launching the Sales Pilot

In this chapter, you'll set up a Genie space and make it answer reliably by adding column descriptions, synonyms, default instructions, and entity matching.

Launching the Sales Pilot

50 XP

Diagnosing Genie's default behavior

100 XP

Adding descriptions and synonyms as insurance

100 XP

Stacking default rules with instructions

100 XP

Matching real values with entity matching

100 XP

अध्याय शुरू करें

Department-Wide Adoption

Next, you'll expand the space across multiple tables with relationships, and lock shared formulas using SQL examples and a parameterized Trusted Asset.

Department-Wide Adoption

50 XP

Joining bookings for revenue by outcome

100 XP

Segmenting customers by adding users

100 XP

Locking the net revenue formula

100 XP

Building a parameterized Trusted Asset

100 XP

अध्याय शुरू करें