Discover the challenges and consequences of the companies that are underestimating the complexity of a modern data platform.
Digazu’s Low-code platforms will help you address all your data and data processes challenges in a sustainable and future-proof way. Easy-to-use and highly intuitive, Digazu combines the power of automated data engineering, a data lake and a smart data-science platform.
A feature-rich data science platform can help you navigate through data silos and bring holistic data management into your organization and leverage the highest possible value out of it.
Surviving as a mainstream business today means being data-driven. Yet, becoming a data-driven organization does not happen overnight, it takes a lot more than a few resolutions and a well-articulated data strategy.
A data lake will help you leverage all your produced data to create revenues and reduce your costs. So you have to ask yourself why would my company need a data lake and what are my benefits from setting up a data lake?
Digazu’s platforms will help the companies leveraging the value of their data, by extracting data only once, sharing the transformations on data, and loading transformed data multiple times.
Today’s business are trying to become more data centric or to develop their data culture. To do so they have to start leveraging insights from their data. Therefore, ETLs (extract, transform, and load) are essential in data integration strategies.
Data challenges across companies and departments; time-to-market, cost and feasibility of your data science projects all depend on your processes and tools.
Digazu’s platforms were made to create added value for companies from their data and make complex data engineering easier and Faster.
Discover, through this demo, a fast and easy way to create real-time product recommendations with our Digazu’send-to-end data engineering platform.
