Data Engineering

We process and prepare the data to make them useful, analyzable and manageable.

The data management complies with data ingest from various streaming and/or batch sources, and retains the obtained data in a secure and easily accessible storage location. Before storing the data, E(extract)T(transform)L(load) is often applied.

If the data is raw and we do not have a clear purpose for it, it is stored in Data Lake. Structured, processed and refined data is stored in the Data Warehouse for easy reference.

The data collected is analysed using various Machine Learning algorithms to extract "knowledge".

The "knowledge" acquired is transferred to the end users through various data exploration and visualization tools.

Your data: useful, analyzable and manageable

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