Big Data Glossary
What is Data Integration?
Definition of Data Integration
What is Data Integration?
Data integration refers to combining data from different sources into a unified view. This process often involves merging data from databases, APIs, and various systems to provide a comprehensive dataset for analysis or reporting.
Introducing Crosser
The All-in-One Platform for Modern Integration
Crosser is a hybrid-first platform that in one Low-code platform has all the capabilities that you traditionally would need several systems for.
In one easy-to-use platform:
- Event Processing
- Data Ingestion & Integration
- Streaming ETL
- Batch ETL/ELT
- Reverse ETL - bidirectional
- Stream Analytics
- Functions & custom code (python, C#, JavaScript)
- Inference of AI/ML models
- Automation Workflows
Platform Overview
Crosser Solution for Data Mining
Explore the key features of the platform here →
Want to learn more about how Crosser could help you and your team to:
- Build and deploy data pipelines faster
- Save cloud cost
- Reduce use of critical resources
- Simplify your data stack
Sign up for a free account for testing your ideas. Connect to your data sources and test with real data.
Join our weekly live platform demo and have a chat with our experts. Choose between Industrial IoT focus or Cloud Data Integration sessions.