Data lakes have quickly become mainstream, growing in popularity and prevalence, as businesses realize how they help solve scalability and duplication issues while significantly enhancing analytics insights to gain a competitive advantage. In addition, the diversity of usage and inherent ability to house various types of data makes data lakes critical for digital business. However, the data platforms and data management practices associated with data lakes are rapidly evolving.
Data platforms such as on-premises Hadoop are commonly used for data lakes, but a shift is underway. Organizations are starting to transition to cloud-based data platforms such as Amazon Web Services (AWS), Microsoft Azure, Snowflake, Google Big Query, Intellicloud, etc. to meet modern data lake requirements. They offer easier, more affordable, and flexible data platforms compared to on-premises Hadoop.
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