Low Latency Data Integration for Data Lakes with Qlik Compose

[Ritu_Jain]

As data lakes mature, the need for low-latency data is growing. Organizations need analytics-ready data in near real-time to feed their AI, machine learning  models, perform streaming analytics and and support other data science initiatives. Capturing data changes in real-time can be complex with modern cloud data lake platforms. In this paper, we describe how utilizing Qlik’s Data Integration platform with Databricks can help organizations achieve low-latency data requirements with their data lake.