Data Lakes are storage areas for data that requires further analysis. They are large repositories where raw unprocessed data is stored until it can be broken down, categorized and augmented.
The challenge with Data Lakes is the management of incredibly large batches of data. However, when leveraged correctly, there are compelling advantages for machine learning and statistical analysis.
Optimus can help you optimize your storage architecture in order to take advantage of these benefits. We will guide you through the ingestion and design of your data feed pipeline and storage models. We can also show you the right tools for the job.