Practical Lakehouse Architecture - Designing and Implementing Modern Data Platforms at Scale

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures.

A propos de l'auteur

Gaurav Thalpati is an independent consultant with over two decades of experience building data and analytics platforms. He has worked on various data projects and played different roles, including ETL/BI developer, data engineer, data analyst, and data architect. Based in Pune, India, Gaurav is passionate about sharing his knowledge with other data practitioners and guiding them in designing and implementing scalable and cost-effective data platforms.

Détails du produit

• Auteurs: Gaurav Ashok Thalpati, Gaurav Thalpati, Gaurav Ashok Thalpati
• Edition: O'Reilly
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 03.12.2024
• EAN: 9781098153014
• ISBN: 978-1-0981-5301-4
• Dimensions: 178 mm x 233 mm x 15 mm
• Poids: 508 g
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Data Warehousing, BUSINESS & ECONOMICS / Operations Research, Enterprise Software, Operational research, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Business & Productivity Software / General