triggo.ai XOps is not about tools, it is about results
What really matters in the end are the results created by Analytics and AI within the lowest cost and time.
Simplifies your development effort up to 50%, increasing governance in the most critical phases of data prepation. Automates the implementation of pipeline changes, solving the main problems of Analytics Engineering.
For Data Engineers and Developers, the time of data inactivity means waste of time and resources; for the data consumers, this disrupts the trust for decision making. We are trying the avoid reliability issues in the whole process.
As companies started to build Data Lakes and Warehouses using public clouds, the financial control used to calculate the inefficiency and waste became relevant. We are here to fix that making your usage time more performatic and economic.
Este artigo aborda o conceito de XOps e como a sua aplicação pode ajudar a equalizar a maturidade de Data Analytics & AI, permitindo que as organizações operacionalizem dados e análises para gerar maior valor comercial.
22 de mar. de 2022
Este artigo aborda a vantagens em migrar para uma Data Stack Moderna e como fazê-la, reduzindo drasticamente o tempo perdido com engenharia de dados e permitindo que engenheiros e analistas se concentrem em atividades de alto valor.
7 de mar. de 2022
Este artigo aborda o conceito e os 5 pilares para Data Observability.
21 de fev. de 2022
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