Data Lake

Data-driven decision making is changing how we work and live. From data science, machine learning, and advanced analytics to real-time dashboards, decision makers are demanding data to help make decisions.
With so much variety, volume, and velocity, the old systems and processes are no longer able to support the data needs of the enterprise.
To support these endeavors and address these challenges, a revolution is occurring in data management around how data is stored, processed, managed, and provided to the decision makers. Big data technology is enabling scalability and cost efficiency orders of magnitude greater than what’s possible with traditional data management infrastructure.
The data lake is a daring new approach that harnesses the power of big data technology and marries it with agility of self-service. 
Most large enterprises today either have deployed or are in the process of deploying data lakes.
. The term was invented and first described by James Dixon, CTO of Pentaho : “If you think of a datamart as a store of bottled water—cleansed and packaged and structured for easy consumption—the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples.”