From the way IT is trending, it looks like AI, IoT, and mobile apps will come together to make the most of sensor-generated data in industrial use cases.
Get an in-depth understanding of the complex concept of asynchronous processing with in-memory databases with a simple example involving planes, trains, and automobiles!
How did Spark become so efficient in data processing compared to MapReduce? Learn about Spark's powerful stack of libraries and big data processing functionalities.
You might expect that industrial robots would be evenly distributed across the U.S. or concentrated in states with big high-tech industries — but you'd be wrong.
Blockchain is one of the more promising technologies out there when it comes to cybersecurity. Read on to find you why, and what issues blockchain is facing.
Learn about loading and storing data using Hive, an open-source data warehouse system, and Pig, which can be used for the ETL data pipeline and iterative processing.
In this article, we give a quick overview of 15 security best practices that your organization should follow to prevent security issues, such as data breaches.
If you're looking to test your IoT app's communication, here's how JMeter can load test the popular MQTT protocol, with an overview of the protocol itself.
Learn how to schedule and execute Talend jobs with Airflow, an open-source platform that programmatically orchestrates workflows as directed acyclic graphs of tasks.
So your network just went down and you got it back up. We take a look at ten questions you can answer to assess what happened and how to prevent it from happening again.
Learn an approach to programming a neural network using Java in a simple and understandable way so that the code can be reused for various experiments.
In the first post of this series, get a brief look at research about neural networks, finite state machines, models of the human brain, and abstract machines.
Apache Spark is an in-memory distributed data processing engine and YARN is a cluster management technology. Learn how to use them effectively to manage your big data.