Abstract: Traditional Data Warehouse is a multidimensional repository. It is nonvolatile, ‎subject-oriented, integrated, time-variant, and non-‎operational data. It is gathered from multiple ‎heterogeneous data ‎sources. We need to adapt traditional Data Warehouse architecture to deal with the new ‎challenges imposed by the abundance of data and the current big data characteristics, containing ‎volume, value, variety, validity, volatility, visualization, variability, and venue. The new ‎architecture also needs to handle existing drawbacks, including availability, scalability, and ‎consequently query performance. This paper introduces a novel Data Warehouse architecture, named Lake ‎Data Warehouse Architecture, to provide the traditional Data Warehouse with the capabilities to ‎overcome the challenges. ‎Lake Data Warehouse Architecture depends on merging the traditional Data Warehouse architecture ‎with big data technologies, like the Hadoop framework and Apache Spark. It provides a hybrid ‎solution in a complementary way. The main advantage of the proposed architecture is that it ‎integrates the current features in ‎traditional Data Warehouses and big data features acquired ‎through integrating the ‎traditional Data Warehouse with Hadoop and Spark ecosystems. Furthermore, it is ‎tailored to handle a tremendous ‎volume of data while maintaining availability, reliability, and ‎scalability.‎

Emad Saddad, Ali El-Bastawissy, Hoda M. O. Mokhtar and Maryam Hazman, “Lake Data Warehouse Architecture for Big Data Solutions” International Journal of Advanced Computer Science and Applications(IJACSA), 11(8), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110854

@article{Saddad2020,
title = {Lake Data Warehouse Architecture for Big Data Solutions},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110854},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110854},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {8},
author = {Emad Saddad and Ali El-Bastawissy and Hoda M. O. Mokhtar and Maryam Hazman}
}