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APPENDIX 2
Texts on Pleasure Reading
TOPIC I. INFORMATION SYSTEMS
Dawn of intelligent applications
The future is intelligent applications. Learn how companies are shifting from big data to intelligent
application approaches. Data remains a foundational element of computing. Recently, Hadoop and
big data have been a central part of data progression, allowing you to capture data at scale. But
companies now look to the expanding use of cloud computing and machine learning to create more
intelligent applications.
This new generation of applications use all the data they can, including incoming real-time data, to
respond in the moment to changing circumstances and formulate advantageous outcomes. This
includes delivering on the digital transformation promise sought by companies to deliver rich
customer experiences.
Intelligent applications can converge database and data warehouse workloads, allowing companies
to respond and react to changing conditions in real time.
This builds on a theme covered by nearly every large industry analyst firm regarding the merging of
transactional and analytical functions. Gartner refers to this convergence as hybrid transaction
analytical processing, or HTAP; 451 Research refers to it as hybrid operational analytical
processing, or HOAP; and Forrester refers to it as translytical data platforms.
