At Daugherty, we offer cutting-edge capabilities and work continuously with the newest technologies to meet the needs of our clients.
Apache Kafka is an open-source, stream-processing software platform used to build real-time data pipelines and streaming apps. In data warehousing, batch ETLs tend to get tangled and experience lags in data delivery. Apache Kafka provides a unified, high-throughput, low-latency platform for handling real-time data.
At Daugherty, we’re leveraging Kafka in a variety of ways. For a leading uniform rental and linen supply company, we used Kafka to scale out and stabilize a brittle legacy system, and to enable real-time analytics to drive millions in savings. For the same client, we created a mobile application to replace paper contract renewals. Kafka provided a single point of access for data so that customer classifications, responsible employees and price-negotiation flexibility could be driven by analytics.
For one of the largest global biotech corporations, we leveraged Kafka at the center of their enterprise data hub, incorporating Spark clients for consumers and producers — on the consumer side, to integrate with an analytics database, and on the producer side, to pump data downstream to dependent systems. This eliminated data silos and enabled a cloud-based architecture for the client.