Handling large amounts of data from multiple sources can be an incredibly time-consuming task for data engineers. What's more, the insights gathered from analysis may become outdated before the process is complete. That's where GQI comes in to help. Take a look and see how GQI can help streamline your data processing needs. 😎
▬▬ Additional info ▬▬▬▬▬
❓ The GQI (DataMiner Generic Query Interface) is composed of a language and API designed to facilitate querying, filtering, and aggregating data from the extensive collection within your DataMiner data lake through a single query.
🔗 Learn all about our the DataMiner GQI and take your next step toward a data-driven operation - [ Ссылка ]
🔗 How to analyze historical trend data with the GQI - [ Ссылка ]
▬▬ About DataMiner ▬▬▬▬▬
DataMiner is an open monitoring and orchestration platform that enables the design and deployment of the most powerful digital transformation solutions for ICT, media & broadband.
▬▬ Get to know us better ▬▬▬▬▬
🔗 Our solutions - [ Ссылка ]
🔗 Our apps - [ Ссылка ]
#demo #ziine #query #querybuilder #datadriven #devops #DataMiner #networkmonitoring #networkorchestration #GQI #genericqueryinterface
![](https://i.ytimg.com/vi/S6U9xERPrL8/maxresdefault.jpg)