Querona’s new built-in Model Context Protocol (#MCP) server enables real-time data access for GenAI models. MCP standardizes context sharing, allowing AI assistants to query live data from Querona’s virtual databases. This eliminates ETL delays and powers instant BI insights. #AI
#Cloud Migration using #Querona!
Querona #LDW is used as a proxy between migrated #datasources and #BI tools.
Querona uses a cloud database #engine as a cache and selected data assets are moved to the cloud during the progress of the project.
More on: https://t.co/KzVeJnt3Q8
Advanced #BI users or data scientists can find all required data in one place.
New #data or views are usable for analytics instantly, caching or cleansing is delayed until needed. The #agile data strategy saves 75% of data preparation effort.
More on: https://t.co/SIKfoWItfl
How to easily import tables from different databases into #PowerBI or #Tableau when tables are not related?
A Logical Data Warehouse on #Querona may serve as a data source. Foreign keys will be defined virtually.
https://t.co/lCTVrNGc3T
Querona Logical Data Warehouse simplifies #DataDiscovery.
All data sources (~100 types) may be queried using #TransactSQL that is translated to the target database SQL or an #API call.
This is the easiest way to verify all types of data sources present in the company.
#Querona is a Logical Data Warehouse that works as a semantic data model for #PowerBI, #Tableau and other BI tools.
Just connect one of 100 supported data source, import metadata and your #LogicalDataWarehouse is available for analytics.
#datavirtualization
Today we presented our solution in response to the requirements of the GDPR. Thank you for your great interest and the amount of questions :)
#RODO#GDPR#datavirtualization @TheHeartWarsaw #conference