Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
Data integration provides the unified view you need.
The explosion of data requires new solutions to make that data mess accessible, meaningful, and actionable. How can you bring your data together when it grows every microsecond? You keep reading.
Here’s what’s hot in data integration today.
How to Build a Data Mesh in Confluent Cloud with Stream Governance
Learn how to build a data mesh on Confluent Cloud by understanding, accessing, and enriching your real-time Kafka data streams using Stream Governance. Confluent’s product team will demo the latest features and enhanced capabilities, along with showing how you can get access in a few clicks.
Get started with the fundamentals of efficient data management.
Convert data chaos into data capability with our advanced resources.
More Data Integration Resources
Kafka Summit Bangalore 2024
Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.
Shift Left: Unifying Operations and Analytics With Data Products
ELT pipelines create duplicate datasets and costs. A “shift left” offers a better approach. We'll explore best practices to make data accessible across operational, analytical, and hybrid systems using data primitives such as streams, tables, schemas, and Apache Iceberg.
An IDC Spotlight on Modern Data Management: Real Time and Software-Defined
We used to talk about the world’s collective data in terms of terabytes. Now, according to IDC’s latest Global Datasphere, we talk in terms of zettabtytes: 138Z of new data will be created in 2024—and 24% of it will be real-time data. How important is real-time streaming data to enterprise organizations? If they want to respond at the speed of business, it’s crucial. In this digital economy, having a competitive advantage requires using data to support quicker decision-making, streamlined operations, and optimized customer experiences. Those things all come from data.
Reference Architecture: Confluent and MongoDB
This reference architecture documents the MongoDB and Confluent integration including detailed tutorials for getting started with the integration, guidelines for deployment, and unique considerations to keep in mind when working with these two technologies.