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Data lakes are large collections of data from many, and often dissimilar, sources that span an entire organization. Data sources can include internet of things sensors or devices, website traffic, LinkedIn or Twitter activity, and enterprise sales. The purpose of a data lake is to remove the barriers separating all enterprise data and to facilitate the analysis of all the data at once, without impediments. The amount of data stored in data lakes is massive, sometimes reaching petabytes in volume. A data lake stores data in a more natural form, compared to a data mart. This helps in collecting data from various sources and structures.
Data lakes are becoming central to enterprise data strategies, regardless of the source or format. Data lakes address today’s huge data volumes and varieties, the growing higher expectations of users and the rapid globalization of economies. They provide a single, unified view of all data across the organization. Data lakes give businesses the ability to bring all their siloed data together and the flexibility to access their data in a variety of ways.