Build Data Commons and Access Your Data to Extract Valuable Information.

Harness your structured and unstructured data.

Democratizing and simplifying the availability and storage of internal datasets is a high priority for Arrayo clients. We have significant experience in the delivery of a data persistence layer that makes it possible to create data-lakes and further democratize data within companies, from small biotech startups to large pharma companies and financial services corporations.
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Almost every large organization has a data lake where data can be retained for long periods of time at a low price and where data-hungry users can compile disparate sources together. A data lake is nothing more than a central location where many different forms of data reside in the same infrastructure. Data lakes have built-in fault tolerance: for example, Hadoop is set to have three replications of all data, making it extremely unlikely for information to be lost. This also allows calculation tools such as Spark to perform large and complicated calculations across distributed data at an unprecedented speed. Data Lakes also provide connectors so that data professionals can leverage distributed computing to extract insights, as well as perform the types of analysis that are mission-critical to your enterprise. Data Lakes have been a staple of the data ecosystem for some time, due to the simplicity of the infrastructure, the ease of setup, and the value that companies derive from them. Due to this, a number of tools have been designed to help bring even more value out of these massive data stores.