Author(s): Anne Laurent, Dominique Laurent, CГ©drine Madera
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.
2757728Book https://nitroflare.com/view/DD96E4516630[/code] 10.14