Springer Handbook of Data Engineering

After the fast development in Internet technologies, data has been coined as the “new oil”. Indeed, on the one hand, Internet technologies have enabled gathering and storing unlimited amounts of data in Data Centers and, on the other, Cloud computing ecosystem has enabled unlimited computing capacity for processing and analyzing the data. Data knowledge requires data engineering to enable knowledge integration into decision-making, businesses processes, etc.

Data Engineering addresses building and deployment of distributed, scalable and reliable data infrastructures and integrating them into the knowledge and business pipelines of institutions, organizations, businesses and alike.

The Handbook of Data Engineering provides a comprehensive coverage of the engineering aspects of building and deploying distributed, scalable, secure and reliable data infrastructures for intelligent processing and decision making systems.