The usefulness of GPUs versus CPUs for machine learning, why distributed training with multiple GPUs is optimal for larger datasets, and how to get started.
Choosing the right event streaming approach is critical for enterprise architects and application developers. These technologies will help apps scale up around data.
Both Kafka and Docker are pretty complex technologies, and it can be difficult to determine where to get started once you’re sure that they’re the right fit for the problem you’re solving. To keep things simple for this tutorial, we’ll create one producer, one consumer, and one Kafka instance.
Which Trends Are Flourishing in Supply Chain Management? All You Need to Know About EDI and API in One Guide - Uses, Differences, Benefits, and Trends Covered.
In this article, learn more about Log4j, a popular logging package for Java development that offers a simple, comprehensive, and configurable logging system.
Machine Learning and Data Science with Apache Kafka in the healthcare industry exploring deployments from the CDC (Covid), Cerner (sepsis), and Celmatix (EMRs).
Understanding architecture is key to creating a successful IoT project and leveraging its benefits, how it’s structured, and the different types and layers.
Every technology and development service used for asset tracking, positioning, or connectivity has its own set of common errors to avoid. Let's take a look.