Confluent Blog

The Internet of Things (IoT)—connecting physical objects to software components—has created several innovations and opportunities for enterprise companies, and continues to grow in top industries, including healthcare, smart factories, energy,

Machine learning on real-time data is a powerful combination because you gain direct insights into your data, can make powerful decisions, and consequently improve your business processes and outcomes. It

In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to

To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache

Today, Confluent is announcing the general availability (GA) of the fully managed MongoDB Atlas Source and MongoDB Atlas Sink Connectors within Confluent Cloud. Now, with just a few simple clicks,

Since the MongoDB Atlas source and sink became available in Confluent Cloud, we’ve received many questions around how to set up these connectors in a secure environment. By default, MongoDB

Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®. Although

We are excited to announce the preview release of the fully managed MongoDB Atlas source and sink connectors in Confluent Cloud, our fully managed event streaming service based on Apache

Most organisations maintain fleets, a collection of vehicles put to use for day-to-day operations. Telcos use a variety of vehicles including cars, vans, and trucks for service, delivery, and maintenance.

Imagine you’ve got a stream of data; it’s not “big data,” but it’s certainly a lot. Within the data, you’ve got some bits you’re interested in, and of those bits,