22-25 April 2026 
CANCELLED - Building a Data Lakehouse with Azure Databricks
2023TL; DR
The building a Data Lakehouse with Azure Databricks session is a dynamic presentation that benefits an array of Data professionals - data engineers, data architects, data analysts - by covering practices and techniques used to move, shape, orchestrate, and organize data that is made available for analytical solutions that build business insights.
Session Details
The building a Data Lakehouse with Azure Databricks session is a dynamic presentation that benefits an array of Data professionals - data engineers, data architects, data analysts - by covering practices and techniques used to move, shape, orchestrate, and organize data that is made available for analytical solutions that build business insights.
It covers common challenges, pitfalls encountered by and used by data engineers and other professionals as they work to mine data in ways of queries, data profiling and exploration to combine different types of data - structured, semi-structured, and unstructured - commonly found in organizations.
This presentation uses Azure Databricks as the technology to explain, illustrate, and build the Data Lakehouse. In addition to this, traditional Data Lakehouse features, such as time travel, audit history, and other common capabilities are also covered in this presentation.
It covers common challenges, pitfalls encountered by and used by data engineers and other professionals as they work to mine data in ways of queries, data profiling and exploration to combine different types of data - structured, semi-structured, and unstructured - commonly found in organizations.
This presentation uses Azure Databricks as the technology to explain, illustrate, and build the Data Lakehouse. In addition to this, traditional Data Lakehouse features, such as time travel, audit history, and other common capabilities are also covered in this presentation.