Building the new data stack remains a question that almost every business grapples with, but few have managed to answer convincingly. Businesses are dealing with unprecedentedly large volumes of semi-structured and unstructured data. At the same time, use cases have grown more ambitious – with demand for data teams to support BI and reporting, near real-time analytics, exploratory machine learning, and a host of other use cases.

How can today’s data-driven business respond to these challenges, and design a data stack that will also be able to scale to the requirements of tomorrow? The data lakehouse offers a new paradigm that encapsulates the reliability and standard tooling of the data warehouse, with the scale and flexibility of the data lake. In this white paper, we take a deep dive into the state of current data architecture, and present our vision for an open data lake house – a self-service data platform built on open-source foundations, leveraging the scalability of modern cloud services.

In this white paper you will learn:

• Why the modern data stack is an unsolved problem for most organizations
• The limitations of data warehouses, data lakes, and hybrid approaches
• What is the open data lakehouse, and how it can overcome the challenges of previous solutions
• Why Open Source Presto is the key to unlock lakehouse analytics