Data Lake architecture enables the retrieval, processing, and instant transformation of data into valuable and useful information from a single source, on demand.
Data Lake makes information stored in structurally and spatially heterogeneous data sources with complex storage modes reliably accessible at any time to help support your optimal business decisions. A Data Lake is practically synonymous with a modern data warehouse.
As end users are faced with larger and more complex challenges set by new innovations and the progress of technology, which in turn impose new demands on data storage systems, making the evolution of data processing and storage an inevitable next step in keeping up with such developments.
This paradigm shift has resulted in a new and conceptually different approach to data storage – storing all types of data in a single location regardless of size and complexity, using increased computing power with massive parallelisation and distributed processing and the ability to process large amounts of data in a negligible amount time and with minimal load to current systems.
While the standard data warehouse model traditionally stores data in a hierarchical structure, Data Lake architecture assigns each data element a unique identifier that contains extended metadata tags associated with the corresponding element. When required by business operating procedures, analysis can be performed at any time on relevant data groups stored within a data center of Data Lake which transforms such data into potentially useful and applicable user information.
Our consultants are ready to support you with their technical and professional know-how and expertise to successfully implement Data Lake solutions and create a modern data warehouse, allowing you to retrieve, process, and convert data into indispensable information.