So geht's: Aufbau von Daten-Streaming-Pipelines für Real-Time Data Warehousing | Jetzt anmelden
As the world undergoes a digital transformation, organizations have an ever-growing abundance of real-time data, distributed across numerous data sources, in varying formats that require real-time processing, storage, integration, and analytics at ultra-low latency.
Streaming-based applications like ride-share apps, stock trading platforms, social networks, and internet of things all require real-time data streams, and this data continues to grow in volume and complexity.
Modern data streaming platforms automatically process information, integrate data from numerous sources, and help organize, manage, and act on this data in real-time, as it's being generated.
By leveraging a data streaming platform, businesses are discovering that they can create new business opportunities, strengthen their competitive advantage, make their existing operations more efficient, and open new use cases while reducing operational burden and complexity.
Read this white paper to find out how Apache Kafka and Confluent's streaming platforms are transforming the way businesses run in every industry, around the world.
You will learn:
Download the free white paper to learn more