Remove Analytics Architecture Remove Data Lake Remove Data Process
article thumbnail

Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

Fluss is a compelling new project in the realm of real-time data processing. Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. The fourth difference is the Lakehouse Architecture.

Kafka 73
article thumbnail

An In-Depth Guide to Real-Time Analytics

Striim

Streams of data are continuously queried with Streaming SQL , enabling correlation, anomaly detection, complex event processing, artificial intelligence/machine learning, and live visualization. Because of this, streaming analytics is especially impactful for fraud detection, log analysis, and sensor data processing use cases.

article thumbnail

Azure Data Engineer Interview Questions -Edureka

Edureka

One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store. It does away with the requirement to import data from an outside source. Export information to Azure Data Lake Store, Azure Blob Storage, or Hadoop.