A comprehensive guide to your modern data analytics solution.
No matter which modern analytics solution your organization chooses to use for your valuable data, smart data automation can help with the process.
Data warehouses are specifically designed for analyzing data that has been collected, contextualized, and transformed. If your organization requires advanced data analysis or analysis that relies on historical data from multiple sources across your organization, a data warehouse may be your right choice.
Data lakes store a wide variety of unfiltered data that is later used for a specific purpose. If your organization needs cost-effective storage for raw, unstructured data from multiple sources that you plan to use for specific purposes in the future, a data lake may be your right choice.
Data lakehouses use best practices from both data warehouses and data lakes. They can handle both structured and unstructured data, which is stored in open formats allowing different engines to run simultaneously. Data lakehouse is a flexible and scalable solution for you.
biGENIUS-X features that help ensure the successful adoption and maintenance of a centralized data management system.
Smart data automation provides you with standardization and best practice blueprints to help automating the otherwise repetitive and monotonous development tasks that you would have to spend your valuable resources on.
The tried-and-proven biGENIUS generators help you to further optimize your development cycle. With advanced modifications feasible, unparallel flexibility means you can meet your business needs without compromise.
Whether your choose data warehouse, data lake, or data lakehouse, biGENIUS will help you save time and costs substantially by providing standardization and drastically reducing testing efforts.
Accelerate and automate your analytical data workflow with comprehensive features that biGENIUS-X offers.
See what industry leaders say about biGENIUS and their experience of working with us.
Stay updated on biGENIUS applications and get valuable insights on the development of data management technologies.