The Azure Databricks Spark engine has capabilities to ingest, structure and process vast quantities of event data, and use analytical processing and machine learning to derive insights from the data at scale. Power BI can be used to visualize the data and deliver those insights in near-real time. Streaming data can be delivered from Azure […]
Tag: event hubs
Event-based analytical data processing with Azure Databricks
Cloud-native streaming architecture Overview Modern data analytics architectures should embrace the high flexibility required for today’s business environment, where the only certainty for every enterprise is that the ability to harness explosive volumes of data in real time is emerging as a a key source of competitive advantage. Fortunately, cloud platforms allow high scalability and […]