Industry 4.0 / Industrial IoT

Introducing the Crosser FlowWatch concept, showcasing both visualization, validation and action features to help you gain control over your data-driven integrations and pipelines.

For 2024 we expect a number of technological and use case trends to gain strong momentum. Here are 5 key topics we believe will have a positive development during next year.

Explore how Crosser’s Hybrid Low-Code solution simplifies data transformation for ETL, ELT, and Reverse ETL pipelines for enterprise data.

This article explains how to use metadata driven stream processing for performing calculations, validations and comparisons in your real-time data flows and pipelines.

Crosser has been selected as the digital enabler to expand OT edge applications offered on Nokia MX Industrial Edge. The combined solution aim to accelerate Enterprises' Transition to Industry 4.0. 

The term data pipeline has become very popular in today's data-driven landscape. In this article, we will delve into the crucial topic of ensuring data quality within event-driven data pipelines. 

Crosser invites you to swing by booth #750 at Big Data London. Our on-site team will be there to chat with you about your integration, stream analytics and data transformation challenges, offering real insights and tips from our ongoing customer projects.

Crosser will exhibit at the upcoming IoT World Europe conference, in Berlin - September 17 to 19, 2023. As a highlight of the event, Crosser and tesa will present a joint session that promises to unveil groundbreaking advancements in Manufacturing Data & Cloud Integrations.

Explore how and when you can use Python for advanced analytics when building data pipelines and Flows within the Crosser Solution. There are currently over 200 modules in the Crosser Module Library that you can combine with your Python functionality.

In this article, we will show that there are many applications where Kafka may not be the best choice, and that these applications can be implemented easier, faster, and cheaper using Crosser's Streaming Analytics solution.