Introduction
The Data Lakehouse architecture combines the best features of a data lake and a data warehouse into a unified data platform. Its core idea is to bridge the gap between traditional data lakes and data warehouses by storing all data in the same open environment, allowing both structured and unstructured data to be easily accessible and usable by various tools without the need for moving data between platforms. This separation of storage and compute resources enables greater cost efficiency and scalability.
A Data Lakehouse offers a flexible and scalable solution for organizations looking to integrate data analytics and reporting on a single, unified platform. It reduces unnecessary silos, simplifies data management, and provides a clearer overall view of data utilization. For these reasons, Data Lakehouse solutions are gaining popularity in Finland and worldwide, and they are considered the foundation for future data solutions that support business development and innovation.
This comprehensive one-day training provides participants with a blend of theoretical knowledge and practical insights into designing and implementing effective Data Lakehouse solutions.
Who should attend
This course is ideal for data professionals, including data engineers, data architects, and data analysts, who are looking to deepen their understanding of data platform architectures.
Key Course Content
The day is divided into three main parts:
- Theoretical Session
The theoretical session introduces participants to the fundamentals of Data Lakehouse architecture and explains how it differs from traditional data lake and data warehouse solutions. It covers the key components of the architecture and their functions, as well as introduces important technologies like Databricks and Microsoft Fabric. Additionally, participants will gain insights into best practices and methodologies for building a data platform.
- Demonstration Workshop
Participants will observe a detailed walkthrough of how to apply the concepts discussed in the theoretical session, with examples showcasing the capabilities and functionalities of Fabric.
- Bill Inmon’s Recap and Q&A
The day concludes with an online recap and Q&A session led by Bill Inmon, the father of data warehousing and Data Lakehouse. This session provides participants with the opportunity to clarify questions, review key concepts, and ensure their understanding directly from the architect of the concept.
