ML and Generative AI in the Data Lakehouse (Building and Deploying AI Applications at Scale)
List Price:
$79.99
| Expected release date is Jul 28th 2026 |
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Product Details
Author:
Bennie Haelen
Format:
Paperback
Pages:
430
Publisher:
O'Reilly Media (July 28, 2026)
Imprint:
O'Reilly Media
Release Date:
July 28, 2026
Language:
English
ISBN-13:
9781098178499
ISBN-10:
1098178491
Weight:
16oz
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260513163342-20260513.xml
Folder:
TWO RIVERS
List Price:
$79.99
Country of Origin:
United States
Pub Discount:
60
Case Pack:
20
As low as:
$68.79
Publisher Identifier:
P-PER
Discount Code:
C
Overview
In today's race to harness generative AI, many teams struggle to integrate these advanced tools into their business systems. While platforms like GPT-4 and Google's Gemini are powerful, they aren't always tailored to specific business needs. This book offers a practical guide to building scalable, customized AI solutions using the full potential of data lakehouse architecture.
Author Bennie Haelen covers everything from deploying ML and GenAI models in Databricks to optimizing performance with best practices. In this must-read for data professionals, you'll gain the tools to unlock the power of large language models (LLMs) by seamlessly combining data engineering and data science to create impactful solutions.
- Learn to build, deploy, and monitor ML and GenAI models on a data lakehouse architecture using Databricks
- Leverage LLMs to extract deeper, actionable insights from your business data residing in lakehouses
- Discover how to integrate traditional ML and GenAI models for customized, scalable solutions
- Utilize open source models to control costs while maintaining model performance and efficiency
- Implement best practices for optimizing ML and GenAI models within the Databricks platform
