AWS is a popular cloud computing platform that provides a variety of services, including data storage, compute, and analytics. Many large organizations use AWS to store their data, and it is often used as a data lake platform.
There are a few important differences between a data lake and a traditional database. First, data lakes are designed to store large amounts of data and allow for quick access to it.
PRO TIP: AWS does not have a data lake. Data lakes are a type of data storage that is designed to hold a large amount of data in a structure that can be easily accessed and analyzed. AWS does have a data warehouse service called Amazon Redshift, which can be used to store and analyze data.
This makes it ideal for storing data that is frequently accessed, such as customer data or product information.
Second, data lakes are often built using big data technologies, such as Apache Hadoop. This makes it possible to process large amounts of data quickly and efficiently.
Overall, AWS is a popular choice for data lake platforms. It provides a variety of features and services that make it very versatile.
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