A data lake is a repository of data stored in its natural or raw format, at any scale. So this central location allows you to store structured, semi-structured as well as unstructured data. So using data lake, data can be stored in quite a flexible way for future use.
What Are Its Benefits?
Data Lake allows you to store a large amount of data at a considerably cheaper price than data warehouse. This makes using data lake, cost efficient for the businesses.
2. Continuous Availability of Data
Further, it ensures that every employee, irrespective of their designation, has access to all the data stored. It also allows you to use only the data that you require for meeting your needs.
It offers versatility in the sense that it can store structured, semi-structured as well as unstructured data. So, it has ability to store logs, multimedia, XML, sensor data, social data, binary, people data and chats.
4. Advanced Analytics
It provides high speed processing power using various tools and then offers access to quality data to various departments. This is because it leverages on the large data quantities and deep learning algorithms to arrive at real-time analytics.
5. Preservation of Raw Data for Exploration
Additionally, it preserves the data in raw format for data scientists to explore. It also provides analytical environment where they can explore data without waiting for the IT department to model data.
To learn more about the best practices that must be employed to successfully develop a Data Lake, click here.
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