![]() The compute should be scalable to react to peaks and troughs in data throughput rates efficiently and not ‘waste’ compute resources.įor raw data storage, Amazon S3 is an ideal solution. The raw data storage should be as cheap as possible since we need bulk loads of it in a data lake. Storage includes storage for raw data that has been ‘ingested’ into the data lake and storage for aggregated/analyzed outputs for analysis, training ML/AI models, etc. Primarily to construct a data lake, we require storage to store data, and some computing required to process, aggregate, filter, query and cleanse data in a logical fashion. This evolution occurred from the explosion of cheap storage and computing power, the demand of more data across all organizational functions at the more granular level as well as the general explosion in volumes of data. The key difference between warehouses and lakes is that data lakes store more data in the raw and unprocessed form rather than modify incoming data to minimize redundancy and have a single global schema for all data across the organization. What’s a data lake?ĭata lakes are a more modern evolution of the data warehouse concept. Hence having a data lake solution that can quickly integrate new data sources, store, cleanse and quality-check incoming data in a configurable manner can make the difference between smooth commercialization and chaos. ![]() As commercialization approaches and progresses, the chaos settles, but the volumes of data and sources explode, with activity, sample requests, quick starts, and patient assistance programmes all coming into play. In such organizations, the data environment is chaotic, with constant change occurring in commercial data options, ad hoc data purchases, supplementary indirect data, etc. As data sources grow even early-stage, pre-commercialization healthcare organizations need to adopt data stores, lakes and warehouses to enable an analysis of prescription, and claims trends, estimate market sizes, develop go-to-market strategies and construct target lists.
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