Data Science on the Google Cloud Platform, 2nd Edition
Author Valliappa LakshmananLearn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learn....
Release Date 2023/01
Data Governance: The Definitive Guide
Author Evren Eryurek , Uri Gilad , Valliappa LakshmananAs your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work tog....
Release Date 2021/03
Machine Learning Design Patterns
Author Valliappa Lakshmanan , Sara Robinson , Michael MunnThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop....
Release Date 2020/12
Google BigQuery: The Definitive Guide
Author Jordan Tigani , Valliappa LakshmananWork with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables ente....
Release Date 2020/01
Data Science on the Google Cloud Platform
Author Valliappa LakshmananLearn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end....
Release Date 2017/12