A data lake is capable of storing structured and unstructured data all in one centralized repository. Data is stored in its raw, unaltered format, foregoing the need to perform any data transformation during ingestion.
This allows data from line of business applications, IoT devices, social media, log files, and more to be stored in the same location. The raw, centralization of information enables you to run different types of analytics such as big data analytics, real-time analytics, and machine learning to gain new insights about your business.
For example, a data lake can combine data from your CRM platform, social media analytics, and the purchasing history from your marketing platform to identify which promotions were the most effective at increasing loyalty and engagement.
This guide helps businesses like yours understand what a data lake is and how to realize the benefits of one.