[Webinar] 4 Tips for Cutting Your Kafka Costs Up to 70% | Register Today

Login Contact Sales

Watch DemoTry Confluent
Data Integration

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.

data-mesh-builders-min
eBook

The Builder’s Guide to Streaming Data Mesh

Learn how to successfully implement a data mesh and build data products using Confluent’s data streaming platform, leveraging connectors, stream processing, and Stream Governance.

Tech-Confluent Cloud-2-min
Online Talk

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.

Olivia Greene

Olivia Greene, Confluent

david-araujo

David Araujo, Confluent

Get started with the fundamentals of efficient data management.

Convert data chaos into data capability with our advanced resources.

Explore all the Confluent resources by topic.

More Data Integration Resources

White Paper

Unlocking Real-Time Insights From Oracle: A Technical Deep Dive Into Confluent's Oracle XStream CDC Source Connector

In this technical whitepaper, discover how Confluent's Oracle XStream CDC Connector delivers 2x-3x better performance than traditional CDC approaches. Learn architecture benefits, enterprise features, and real-world benchmarks for streaming Oracle data in real time.

eBook

I Heart Logs

Jay Kreps, CEO of Confluent and original co-creator of Apache Kafka, shows how logs work in distributed systems, and provides practical applications of these concepts.

Report

Evolution of Data Architecture - Optimizing Data Analytics Pipelines with Shift-Left

Frustrated by data chaos & lagging insights? Download this report to explore research findings from 400+ data professionals surveyed on persistent data challenges, data landscape trends, and emerging approaches to boost data quality, lower costs, and modernize data architectures.

eBook

The Builder’s Guide to Streaming Data Mesh

Learn how to successfully implement a data mesh and build data products using Confluent’s data streaming platform, leveraging connectors, stream processing, and Stream Governance.

Generic

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.

eBook

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.

White Paper

Deploying Confluent Enterprise on Microsoft Azure

This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.

White Paper

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.

Brief

Modernize data architectures - MongoDB and Kafka

This brief describes a modern data architecture with Kafka and MongoDB