Data Lake and the Modern Data Warehouse
The concept of the Data Lake is to store structurally and spatially heterogeneous data sources with complex storage modes reliably. These data sources would then be 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 shift in ‘Big Data’ has resulted in a new and conceptually different approaches 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. This approach provides customers 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 centre of the Data Lake. The ability to analyze the data so readily, transforms data into powerful and applicable user information.
Data Lake architecture enables the retrieval, processing and instant transformation of data into valuable information from a single source, on demand. Our team is ready to help successfully implement your Data Lake solution and create a modern data warehouse following industry best practice and share our decades of implementation experience.