Data&Analitycs competency Midlink Framework page

CloudLink-managed Data-Driven Review provides insights about potential improvements in existing data, real-time data and historical data

MLOPS Midlink Framework

MIDLINK-managed Data-Driven Review provides insights about potential improvements in existing data, real-time data and historical data. Midlink’s Practice is based on MLOPS modeling with the following steps:

Data analysis is the preliminary stage in which we identify existing architectures, data structures and existing limitations.

Data Preparation – our team verifies the required steps according to the given recommendation in the architecture design.

Data Migration – If multiple data streams and data types are needed, we recommend to create a new data lake, or to migrate existing data to a new model, according to the requirements of the data training model.

Data Optimization and cleansing, to make sure that specific queries provide precisely the required, error-free information.

POC Evaluation – After getting all the data ready, optimized and architected to the customer’s specific needs, we evaluate it as POC in the cloud environment,  either ours or the client’s, until production stage.

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