Data Warehouses and Data Lakes attempt to store data in one large warehouse or lake.
There are two main goals for these ambitious and costly projects.
To achieve these outcomes, data is copied from source systems to the data lake resulting
in complexity to implement and maintain the data flows adding to extra resources and
costs. The sole purpose of the data lake is to present the gathered data to other applications
and services
Bushy Tree is a layer that abstracts all data sources and presents a common interface without
moving data around creating a much simpler, efficient, and quick outcome identical to a
lengthy data lake project without the time, resource, and expense with a fraction of the
operating costs.
Bushy Tree is a Cloud based platform that creates a virtual Data Lake abstracted from the original source data all accessible via a common API interface. Automation tools distributes curated data sets to recipients, human or machine via email, chat, SFTP or API.
Client applications can perform powerful queries and functions with the API and generate incite with packaged machine learning models to drive predictive analysis
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