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Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.
Relational database management systems (RDBMS) such as Oracle helped standardize the way we store and manage data and develop applications. But applications and their underlying RDBMSs have been pushed beyond their architectural limits by new business needs, and new software layers.
This white paper explains what your options are for adding speed, scale, and agility to end-to-end IT infrastructure. It also discusses when to use the various Oracle options— including Oracle RAC, Oracle Database In-Memory, Oracle Exadata, Oracle GoldenGate, Oracle TimesTen Classic, Oracle TimesTen Scaleout, and Oracle Coherence—and third- party options including Apache Ignite. It also explains how to evolve your architecture over time. This allows you to not just increase speed and scale, but to increase IT infrastructure flexibility and support digital business and other new initiatives by adding new technologies as needed.
