Are you looking for ways to automate data quality checks in your data pipelines? Here are some helpful tools that can streamline the process for you.

The security of IoT networks is a challenge that needs to be addressed at a global scale. This blog will uncover some risks associated with IoT network security.

The state of data streaming in the manufacturing industry explores case studies from BMW, Mercedes, Michelin, and Siemens powered by Apache Kafka.

To get more clarity about ISR in Apache Kafka, we should first carefully examine the replication process in the Kafka broker.

How does a data service company build its data warehouse? Simplicity is the best policy. See how we increased data writing efficiency by 75%.

The art of creating rule-based prompts for ChatGPT is accelerating the development of apps and services for any industry, and in this article, I share how to do it.

In this detailed article, you will learn how to carry out data ingestion and analysis using Azure Synapse Serverless SQL Pool along with sample datasets.

As machine learning (ML) is revolutionizing an enterprise's digital transformation, the path to successful ML implementation comes with its own set of challenges.

In this post, the author explains how to launch an Amazon EMR cluster and how to deploy a Kedro project to run a Spark job.

Follow a simplified demo implementation of the competing Consumers pattern using Java, Spring Boot, and Hazelcast's distributed queue.

In this article, we will explore how to use two popular Python libraries, Pandas and Matplotlib, to perform EDA.

The developer experience is changing faster than ever. Here's a primer on where things stand right now and what developers can expect.

Like the calculator, the spreadsheet, and the internet, AI-driven LLM tools are likely to change HOW we do our work, but not the fact that humans will still be the ones doing the work in the first place.

The third article of this series presents a deep-dive into how efficiently we can use Snowflake tables and warehouses and how data sharing occurs across accounts.

In the Sparkplug specification, an MQTT broker is an indispensable component to incorporate the five conceptual capabilities.

Here’s how you can simplify test-driven development and continuous integration with Redpanda and Testcontainers and Quarkus.

This article explores the intersection of PHP development and IoT, highlighting the benefits, challenges, and real-life use cases.

In industrial settings, vision AI means high-end quality control of manufacturing tasks and enhanced automation capabilities.

This guide explores how to auto-scale your Kinesis Data Streams consumer applications on Kubernetes so you can save on costs and improve resource efficiency.

Everybody's trying to get in on the big-money future of IoT, and now "everybody" includes Microsoft with Windows 10. Larry Dignan at ZDNet put together a look at Windows 10's role in IoT - as it's been described by Microsoft CEO Satya Nadella at the Gartner Symposium ITXpo, at least - which suggests that the new OS will be a central platform for IoT systems of all types. Specifically: Windows will be able to run on everything from sensors to wearables to whatever computing shift emerges. Or, as Patrick Thibodeau at ComputerWorld interpreted it: [Nadella] sees the company's upcoming operating system Windows 10 as integral in managing every aspect of the IoT, from the sensors, mechanical systems, to the applications and analytics that underlie it. Those are some pretty big promises, but as Nadella said, Windows 10 is "the first step in a new generation of Windows as opposed to just another release after Windows 8." After all, that would be Windows 9, right? Check out Dignan and Thibodeau's coverage of Nadella at the Gartner Symposium ITXpo for more details on Windows 10 in general. It looks like a promising future: Yo Ebola, I'ma let you finish but #Windows10 is gonna have the greatest virus of all time #WindowsTillIDie — Bill Gates (@BillKingGates) October 6, 2014