In the high-tech digital age, where the revolutionary technologies showcase their talent for successfully generating business value, Organisations are on the run to find solutions to manage and organize their big data.

In response to the multiplying of big data and the simplicity of data storage, the concept of a centralized storehouse called Data Lake can envelop the volume, velocity, and variety of the accelerating big data. Data Lake allows the users to store large amounts of structured, unstructured, and semi-structured data and can process images, videos, audios, documents, etc. critical for machine learning and advanced analytics. This centralized data storage container allows the users to import real-time data from multiple sources in less time and offers an unrefined view of data to data scientists. Data Lake stores the relational data from business applications and non-relational data streaming from social media, mobile apps, and IoT devices helping with a 360-degree view of customers and their behavioral patterns.

Helping the organizations to identify and act upon opportunities for faster business growth, will the exponential growth of data in data lakes with immature data security and governance rule land into data swamps?

- MADHAVI DESAI