![]() Initially, the data is likely to be “noisy.” It may have incorrect or missing information and other characteristics that need to be smoothed out. Once silos have been broken, administrators will need to clean the data and verify its quality. Preprocess the data to consolidate and cleanse it. Data fabric and data mesh architectures are also being used to unify distributed data silos.Ĥ. This can involve mapping individual data fields together, understanding the context of each data field, and developing individual data elements that show that data in a logical and cohesive way.Ĭonsider using a data lakehouse architecture to accommodate both structured and unstructured data. ![]() The idea is to create a combined dataset that contains all the key information in one place. Consolidate data physically or virtually into a central repository.Ĭreate data flows to collect data from disparate databases and data warehouses.
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