Data Lake

Data lake architecture incorporates both structured and unstructued data from various sources, providing the central starting point for any data and analytical strategy.

A data lake platform is a low-cost solution for storing large data, keeping in its natural raw state. As such, data lake architecture is one of the best storage options for cost-efficient scaling.

Centralized Repository

Create a central repository of company data and gather all information resources in one place.

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Access and Permissions

Assign user roles to ensure only required data is accessed, ensuring security standards are maintained.

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Cost Efficient

Data lakes are cheap and quick to implement.

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Instant Access to Data

From AI to dashboards, with data lakes, the information is ready for processing and analytics as soon as it’s generated.

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Data Originality

Raw and original data formats keeps your source data open for all potential possibilities.

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Scalability

Raw data scales infinitely without any performance degradation or challenges.

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Let data lake architecture form the foundations for collecting and managing all your data

We all know it’s important to have the right data to make the right decisions. Data lake services are very much like real lakes: everything is collected in one place, but it’s not separated or formatted in an organized way. It includes raw data, native formats and both structured and unstructured information, all of which flows in real-time from various tributary sources.

Yet all data must be stored somewhere, and this is where a data lake platform truly shines. It’s up to date and includes everything your analysts need. Integrate your data lake storage with additional analytics and applications to fulfil any business purpose.

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Maciej Pondel

Data Science Leader

A graduate of Computer Science at the Faculty of Computer Science and Management of Wroclaw University of Technology. Maciej is also a Doctor of Economics and a lecturer in the Department of Business Intelligence in Management at Wroclaw University of Economics.

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