Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.
The heightened demand for agile scaling across enterprises in contemporary times is underscored by several key factors, including the rapid pace of product changes within organizations, evolving customer expectations and market dynamics, the imperative of digital transformation and innovation, the risks associated with falling behind in competition, the inherent advantages of adopting agile methodologies, and the pressing need to adapt or face the consequences of obsolescence.
Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.
Welcome to part two of our series on profiling and optimizing CPU-bound tasks in Node.js! In the first installment, we discussed the complexities of handling CPU-bound tasks in Node.js, shedding light on their impact on runtime performance and exploring various profiling techniques. Once you've used profiling to figure out where the bottleneck in your application is, the next step is to choose the right optimization strategy to obtain an acceptable level of performance for your use case.