For our data lake platform, we rely on the current standard in data lake housing: Databricks.
Different formats and different storage locations belong to the past with the Data Lakehouse platform. During the implementation of Databricks, data is structured for data processing and data analysis, converted into a format optimized for queries, and stored in cloud storage. Databricks ensures that the already structured data for data processing and data analysis is created and harmonized in an optimized format in a cloud storage. This allows you to combine the processed data for reports and analyses to gain information.
Within the Data Lakehouse, data is professionally prepared and modeled so that regular, automated reports can be generated and ad hoc queries can be generated on logically consistent models and validated data. Databricks is currently the standard in data preparation and processing and is still based on the open source software version of Spark.