Top 6 Considerations for a Streaming Analytics Platform
All data is first generated in real-time, be it financial transactions, sensor data, web clickstreams, geolocation data, weather reports, market data, social media, and other event streams. A real-time streaming analytics platform can help business gain insights from the high-velocity flow of data as they originate, optimize decisions, improve business insights, and accelerate responses to critical events.
This white paper explores the key considerations while choosing a real-time streaming analytics platform.
- Visual low code development
- Application lifecycle management
- Support for ‘real-time’, ‘near real-time’, and batch processing
- Technology agnostic and open source enabled
Download the white paper now to learn more.
Meetup – Stream Processing with Apache Kafka, Flink and Spark
November 2, 2019 - November 2, 2019 Hotstar office (Bangalore)
Accelerate your journey from data to decisions – A unified analytics platform for ETL, ML, and BI
Jul 15, 2020 | 10:00 am PT / 1:00 pm ET