Data accessibility is the cornerstone of effective BI and analytics workflows, mainly when dealing with diverse data origins, volumes, and formats. The journey begins with data ingestion, a critical step that sets the stage for subsequent processing and analysis.
In this session, we'll delve into ETL processes within the Microsoft Fabric environment, leveraging the power of PySpark notebooks. We'll explore two key approaches: EL processes, where data is ingested as-is for later transformation, and ETL flows, where data is ingested, processed, cleaned, and transformed according to specific requirements before being utilized for analytical reporting and decision-making.
Join us for a session featuring hands-on examples that address various data ingestion and transformation scenarios! We'll emphasize the importance of adhering to best practices and leveraging optimization functions.