- Home
- Business & Economics
- Industries
- AI-Powered Analytics on Google Cloud (Building Intelligent Workflows with BigQuery, Data Studio, and Gemini Enterprise Agent Platform)
AI-Powered Analytics on Google Cloud (Building Intelligent Workflows with BigQuery, Data Studio, and Gemini Enterprise Agent Platform)
| Expected release date is Jun 1st 2027 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Overview
The ability to move from raw data to intelligent insight defines today's most successful organizations. AI-Powered Analytics on Google Cloud provides a comprehensive roadmap for building that capability—showing how to design an end-to-end analytics platform that unifies BigQuery, Looker, and Vertex AI into a single AI-driven system for insight and innovation.
Through practical projects and expert guidance from Nivedita Kumari and Rodrigo Souza, data and AI professionals at Google, you'll learn to build a unified workflow from the ground up. You'll master the technical skills to connect data transformation in BigQuery with interactive dashboards in Looker, and build models in BigQuery with endpoints in Vertex AI. This book moves beyond theory, showing you how to use generative AI like Gemini to not only accelerate SQL development but also to leverage data agents that act on your data.
- Build a production-ready analytics stack on Google Cloud
- Integrate BigQuery, Looker, and Vertex AI into one cohesive workflow
- Use Gemini to generate SQL, automate data analysis, and build and iterate on models faster
- Apply MLOps principles for automated model deployment and governance
- Use data agents to transform insights into real-time action
