How to Ensure Data Lakes Success | SmartData Collective - 0 views
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it enables businesses to have a more unlimited view of data
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Data lakes are defined as "a massive, easily accessible, centralized repository of large volumes of structured and unstructured data".
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Oliver likewise suggests that businesses work with data scientists. Data scientists and engineers provide the necessary expertise required to make the data lake a successful data and analytics tool.
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Configurable Ingestion WorkflowsNew sources of external information will continuously be available. Make sure to have an easy, secure and trackable content ingestion workflow mechanism that can rapidly add these new information into the data lake.
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Knowledgent states that "without a high-degree of automated and mandatory metadata management, a Data Lake will rapidly become a Data Swamp" and that "attributes like data lineage, data quality, and usage history are vital to usability".