It is the place from which data is ready to use, share, or sell. In most cases data in the data warehouse is stored in the tabular format and ready for its final and useful use. It is the station where the data is stored in the structured and in a modeled format. The industrial experts and regulatory bodies urge to only process the data that is needed otherwise it will create a lot of problems while managing it. It is the most sensitive part of the data lifecycle in the firm as the firm starts to get the data from the lake to process it.
Some of the Do's and Don'ts provided by the Azure documentation for icons are listed below.ĭata lake is the platform, storage, or place where the data is stored in its natural raw form before getting processed. The data architecture has the three components namely.
The data architecture can be more complex and include hundreds of components but this diagram is small and easy to get in mind. Then this data is again retrieved from the databases from where different models are applied to it to extract the meaningful information. Image Source: From the data sources section, we are getting different types of data like transaction, interaction, observation then this data is acquired using different tools, platforms, and APIs and then stored and managed in the big databases. It is the clearest diagram of the data architecture. The point can be made more concrete by understanding the diagram that is pinned above. In the data architecture diagram, the components are shown and arranged and communicate with each other for processing the data. The data architecture diagram is the diagrammatic representation of how the data is managed throughout the whole data life from consuming to disposing of securely. The concept of the architectural diagram is the same for the data too as it is the same for the buildings, floors, applications, clouds, etc.
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