5 ways how Azure Databricks made our life easier!
Speakers: Luka Riester, Pieterjan Geens
Duration: 1 hour
Receiving signals from over 4000 endpoints every second results in a large amount of data to ingest, process, analyse, visualize and create predictive models on. We used Azure Databricks to process this data and during our talk we will discuss how Azure Databricks facilitated our data science process.
Luka Riester Pieterjan Geens 200
We’ll share insights on how we went from raw signal data to visualisations in PowerBI, combining different data science languages like Spark and R and benefiting from Azure Databricks features like auto scaling and job scheduling.