Today’s organizations are tasked with managing multiple data types, coming from a
wide variety of sources. Faced with massive volumes and heterogeneous types of data,
organizations are finding that in order to deliver insights in a timely manner, they need a
data storage and analytics solution that offers more agility and flexibility than traditional
data management systems. Data Lake is a new and increasingly popular way to store and
analyze data that addresses many of these challenges. Data Lake allows an organization
to store all of their data, structured and unstructured, in one, centralized repository. Since
data can be stored as-is, there is no need to convert it to a predefined schema and you no
longer need to know what questions you want to ask of your data beforehand.