EDGE OSDEFINITION
A Data Lakehouse is an architectural solution that combines the flexibility and cost effectiveness of data lakes with data warehouse capabilities. It will allow you to store structured, semi-structured and unstructured data. This gives the ability to analyze, report and utilize machine learning models all using the same data. Depending on how it is set up you can also have transactional capabilities, schema, version control and governance.
Why are Data Lakehouses important?
- Unified data store – Allows different data types to be stored.
- Cost-effective – Can reduce duplicated data.
- AI and analytics capabilities – Can provide large sets of data for machine learning and business intelligence.
- Data management – Provides solutions to ensure data quality, consistency and security with compatible technologies.
- Scalable – Can cope with increasing data volumes.
Use Cases
- Creation of enterprise analytics/reporting platforms
- Large sets of data ready for AI and machine learning models
- Transactional, operational and customer data combined
- IoT, application logs and sensor data analysis
- Predictive analytics and business forecasting
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.