| ESP Journal of Engineering & Technology Advancements |
| © 2025 by ESP JETA |
| Volume 5 Issue 3 |
| Year of Publication : 2025 |
| Authors : Sarvesh Kumar Gupta |
:10.56472/25832646/JETA-V5I3P123 |
Sarvesh Kumar Gupta, 2025. "Oracle Globally Distributed Database: Scaling Intelligence for Large-Scale Data Analytics", ESP Journal of Engineering & Technology Advancements 5(3): 175-179.
This paper provides an in-depth exploration of Oracle's globally distributed database architecture and its transformative role in enabling petabyte-scale analytics. Designed for enterprises operating at a planetary scale, Oracle’s globally distributed database integrates strong consistency, low-latency replication, horizontal scalability, and autonomous operations. This paper highlights the core architectural features, engineering advancements, and real-world use cases that demonstrate how Oracle is redefining the future of distributed data analytics.
[1] https://www.oracle.com/autonomous-database/distributed-autonomous-database/
[2] Sander Almekinders https://trusharborse.medium.com/internet-scale-application-using-oracle-database-sharding-b8017d3df2a1
[3] https://docs.oracle.com/en/database/oracle/oracle-database/23/shard/sharding-keys.html#GUID-2341646A-5039-4202-A8BF-D0FD082004FD
[4] Trushar Borse https://trusharborse.medium.com/internet-scale-application-using-oracle-database-sharding-b8017d3df2a1
[5] https://docs.oracle.com/en/database/oracle/oracle-database/23/shard/oracle-globally-distributed-database-guide.pdf
Oracle Database, Distributed Systems, Global Scalability, Data Analytics, Cloud Infrastructure, High Availability, Automation.