In time, companies increased amount of data that they generate. Big Data is term that refers to data that is fast generated, massive in volume and so complex, that is difficult to process using traditional methods. But, these massive volumes of data can be used to address business problems companies wouldn’t have been able to tackle before. Data Lake is strategy for data storage which can be implemented using different technologies.
Big Data is characterized by three Vs: the large volume of data, the wide variety of data types stored in big data systems and the velocity at which the data is generated, collected and processed.
Data Lake is centralized low-cost repository that allows storing structured and unstructured data at any scale. It stores data as-is, without having to first structure data. With Data Lake, companies are able to do new types of analytics, such as machine learning over new sources like mobile apps, social media, log files, data from click-streams and internet connected devices stored in the data lake. These new types of analyses give possibility of insights that wouldn’t be discovered using traditional analysis and also allows making forecast of business for future.
The essential benefits of using Data Lakes:
Tracking newest trends when it comes to data analytics, such as machine learning, predictive analytics, data discovery and profiling. These methods allow to forecast likely outcomes and suggest a range of prescribed actions to achieve optimal results.
Storing many types of data in the same repository in its original format and size, without having to structure it.
As data comes in real-time from internet connected devices, it is captured instantly and data lake has capability to define the structure of the data at the time, which is referred as schema on reading. In that way, time consumption is reduced, as well as operational costs.
Stores relational data from line of business applications and transactional systems, as well as non-relational data from mobile apps, IoT devices, and social media.