What is an advantage of storing data in a data lake without applying a specific schema to it initially?

Question: What is an advantage of storing data in a data lake without applying a specific schema to it initially? 

An advantage of storing data in a data lake without applying a specific schema to it initially is that it allows for flexibility and scalability in data storage and analysis. Data lakes are designed to store large amounts of data in its raw and unstructured form, making it easier to store, manage, and analyze disparate data sets. Without applying a specific schema, data can be stored in its original form, without being transformed or preprocessed. This allows for easier integration of different data sources and types, and avoids the risk of data loss due to data transformation or schema changes. Additionally, data can be analyzed in real-time or near-real-time, without the need for data transformation or preprocessing, enabling faster and more accurate insights. This flexibility and scalability make data lakes an attractive option for organizations that need to store and analyze large volumes of data with varying structures and formats, such as in big data analytics or machine learning applications.

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