Data Lakehouse in Action
Architecting a modern and scalable data analytics platform
Created by Pradeep Menon
Explore how to build a modern data analytics platform using the Data Lakehouse architecture. Gain practical skills to design, implement, and scale data solutions that support large-scale analytics in a cost-effective and agile way. Learn to apply proven frameworks directly to your organization's needs.
Packt | Mar 2022 | 206 min
What You Will Learn
You will start by understanding the evolution of data architectures and the reasons behind the shift to Data Lakehouse. Through real-world scenarios, you will explore each layer of the architecture, from data ingestion to governance and security. Step-by-step guidance helps you implement these concepts using cloud platforms, making it easy to translate theory into practice.
Key Features
- Master the core components of Data Lakehouse for robust data analytics solutions
- Apply cloud-based techniques to ingest, process, and secure large volumes of data
- Combine architectural patterns to fit your organization's analytics maturity and goals
Target Audience
This content is designed for data architects, big data engineers, and cloud practitioners who already understand basic data architecture and warehousing concepts. If you want to modernize your organization's analytics platform or gain hands-on experience with scalable data solutions, you will find actionable strategies and frameworks to advance your skills.
