Data Lakehouse architecture 101

We have all heard for the past years how data growth is exponential. Due to our extensive use of smartphones, social media and IoT devices the growth of data seems never ending. Compared to 20 years ago when data growth was driven primarily by business transactions. During this time a lot of industries has undergone a digitization process and are now also contributing to this vast data growth.

Today, we are witnessing the era of big data, characterized by massive amounts of structured and unstructured data being generated in real-time. To tackle these challenges of managing classical Business Intelligence reporting on big volumes of data the need for new technologies has emerged. This is where the lakehouse comes in to play.

In this session we will dive into the foundational elements of the Data Lakehouse. We begin by unraveling the basics, providing a clear understanding of the architecture that underpins this transformative data management paradigm. Central to the discussion is the Medallion Architecture and Delta Lake techniques.

While exploring the concepts within the Data Lakehouse, we shed light on some advantages and complexities. The pros and cons of adopting a Lakehouse architecture are dissected, offering valuable insights for decision-makers navigating the data landscape.