Data lakes

The Concept Of A Data Lake Is Less Than 10 Years Old, But They Are Already Hugely Implemented Within Large Companies. Their Goal Is To Efficiently Deal With Ever-growing Volumes Of Heterogeneous Data, While Also Facing Various Sophisticated User Needs. However, Defining And Building A Data Lake Is Still A Challenge, As No Consensus Has Been Reached So Far. Data Lakes Presents Recent Outcomes And Trends In The Field Of Data Repositories. The Main Topics Discussed Are The Data-driven Architecture Of A Data Lake; The Management Of Metadata – Supplying Key Information About The Stored Data, Master Data And Reference Data; The Roles Of Linked Data And Fog Computing In A Data Lake Ecosystem; And How Gravity Principles Apply In The Context Of Data Lakes. A Variety Of Case Studies Are Also Presented, Thus Providing The Reader With Practical Examples Of Data Lake Management.