Data Drift

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.

The Discovery of the calcareous Ioffe Drift in the SW Atlantic in 2010 opens new perspectives in the contourite theory. Although demonstrating similar behavior relative to bottom water dynamics, rather rare and poorly studied calcareous contourites differ from their terrigenous analogs in origin, grain-size distribution, chemical and mineral composition of sedimentary particles.

The Discovery of the calcareous Ioffe Drift in the SW Atlantic in 2010 opens new perspectives in the contourite theory. Although demonstrating similar behavior relative to bottom water dynamics, rather rare and poorly studied calcareous contourites differ from their terrigenous analogs in origin, grain-size distribution, chemical and mineral composition of sedimentary particles.

The Discovery of the calcareous Ioffe Drift in the SW Atlantic in 2010 opens new perspectives in the contourite theory. Although demonstrating similar behavior relative to bottom water dynamics, rather rare and poorly studied calcareous contourites differ from their terrigenous analogs in origin, grain-size distribution, chemical and mineral composition of sedimentary particles.

The Discovery of the calcareous Ioffe Drift in the SW Atlantic in 2010 opens new perspectives in the contourite theory. Although demonstrating similar behavior relative to bottom water dynamics, rather rare and poorly studied calcareous contourites differ from their terrigenous analogs in origin, grain-size distribution, chemical and mineral composition of sedimentary particles.

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.