Oracle Intelligent Data Lake
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V7I1P101Keywords:
Oracle Intelligent Data Lake, AI-Powered Data Management, Cloud-Based Analytics, Enterprise Data Integration, Data Governance, ComplianceAbstract
The accelerated increase in data has posed new challenges for organizations attempting to derive meaningful insights from diverse and complex sources. Oracle Intelligent Data Lake (IDL) is a modern solution designed to unify storage, automate data management, and provide analytics within a single platform. Unlike traditional data lakes that are often inefficient and poorly governed, Oracle’s approach incorporates artificial intelligence (AI) and machine learning (ML) to enhance data discovery, classification, and enrichment. This reduces the time needed for decision-making while maintaining data quality and compliance. Oracle Intelligent Data Lake simplifies ingestion, transformation, and exploration of data, enabling both technical and non-technical users to unlock the value of enterprise data. Designed for multi-cloud and hybrid environments, it is flexible, secure, and delivers real-time performance. This paper discusses the core characteristics, architecture, applications, and benefits of Oracle Intelligent Data Lake, and its role in innovation and data-driven business solutions in contemporary enterprises.
References
[1] Marr, B. (2022, February 21). Why data is the most valuable business asset of the 21st century. Forbes. https://www.forbes.com/sites/bernardmarr/2022/02/21/why-data-is-the-most-valuable-business-asset-of-the-21st-century/
[2] Oracle. (2023). The importance of data in the digital age. Oracle. https://www.oracle.com/big-data/what-is-big-data/
[3] Gorton, I. (2020). Foundations of data-intensive applications: Architecture and performance trade-offs. IEEE Software, 37(3), 7–15. https://doi.org/10.1109/MS.2020.2968424
[4] Dixon, J. (2010, June 14). Pentaho, Hadoop, and data lakes. James Dixon Blog. https://jamesdixon.wordpress.com/2010/06/14/pentaho-hadoop-and-data-lakes/
[5] Dremio. (2021, July 15). Why data lakes fail and how to avoid them. Dremio Blog. https://www.dremio.com/blog/why-data-lakes-fail-and-how-to-avoid-it/
[6] Gartner. (2019). Data lakes are not a silver bullet for analytics. Gartner. https://www.gartner.com/en/documents/3906269
[7] Oracle. (2024). Oracle Cloud Infrastructure data lakehouse. Oracle. https://www.oracle.com/big-data/data-lakehouse/
[8] Oracle. (2023). Data governance in Oracle Cloud. Oracle. https://www.oracle.com/cloud/data-governance/
[9] Finout. (2025, May 7). OCI costs overview & how OCI compares to AWS/Azure. Finout. https://www.finout.io/blog/oci-costs-overview
[10] Oracle. (2023). Democratizing data with Oracle Cloud Infrastructure. Oracle. https://www.oracle.com/big-data/data-democratization/
[11] Oracle. (2024). Oracle Intelligent Data Lake: Enabling business innovation. Oracle. https://www.oracle.com/data-lake/intelligent-data-lake/
[12] Ghosh, R. (2024, February 6). The evolution of enterprise data management: From warehouses to lakes. Dataversity. https://www.dataversity.net/the-evolution-of-enterprise-data-management-from-warehouses-to-lakes/
[13] Panoply. (2023). Data warehouse vs. data lake: What’s the difference? Panoply. https://panoply.io/data-warehouse-guide/data-warehouse-vs-data-lake/
[14] Google Cloud. (2024). What is a data lake? Google Cloud. https://cloud.google.com/learn/what-is-a-data-lake
[15] AWS. (2024). Data lakes and analytics on AWS. Amazon Web Services. https://aws.amazon.com/big-data/datalakes-and-analytics/
[16] TechTarget. (2023, September). What is a data swamp? TechTarget. https://www.techtarget.com/searchdatamanagement/definition/data-swamp
[17] Dataversity. (2023, November 29). How to avoid a data swamp: Governance strategies for data lakes. Dataversity. https://www.dataversity.net/how-to-avoid-a-data-swamp-governance-strategies-for-data-lakes/
[18] Accenture. (2024). Intelligent data lakes: Transforming enterprise analytics. Accenture. https://www.accenture.com/us-en/insights/applied-intelligence/intelligent-data-lakes
[19] Informatica. (2023). AI-powered data discovery and cataloging. Informatica. https://www.informatica.com/data-management/data-catalog/ai-powered-data-discovery.html
[20] IBM. (2024). Data governance and compliance in the era of AI. IBM. https://www.ibm.com/data/governance
[21] Oracle. (2024). Oracle Cloud Infrastructure data lakehouse. Oracle. https://www.oracle.com/big-data/data-lakehouse/
[22] SiliconANGLE. (2023, October 17). Oracle expands data lakehouse to democratize enterprise AI. SiliconANGLE. https://siliconangle.com/2023/10/17/oracle-expands-data-lakehouse-democratize-enterprise-ai/
[23] Gartner. (2024). Data and analytics accessibility as a business value driver. Gartner. https://www.gartner.com/en/insights/data-analytics
[24] Microsoft Azure. (2024). Hybrid and multicloud solutions. Microsoft. https://azure.microsoft.com/en-us/solutions/hybrid-cloud-app/
[25] Capgemini. (2023). Multi-cloud strategy for modern enterprises. Capgemini. https://www.capgemini.com/insights/research-library/multi-cloud-strategy-for-modern-enterprises/
[26] Deloitte. (2024). The future of data management: Intelligent platforms and automation. Deloitte. https://www.deloitte.com/global/en/insights/industry/technology/future-of-data-management.html
[27] Oracle. (2024). Oracle Cloud Infrastructure data platform documentation. Oracle. https://docs.oracle.com/en/cloud/paas/big-data/
[28] IDC. (2023, December). The rise of intelligent data lakes: Industry adoption and best practices. IDC. https://www.idc.com/getdoc.jsp?containerId=US51267023
[29] ResearchGate. (2024). AI-driven data management: Enhancing enterprise analytics. ResearchGate. https://www.researchgate.net/publication/380987654_AI-Driven_Data_Management
[30] Accenture. (2023). Architecting next-gen data platforms with AI and ML. Accenture. https://www.accenture.com/us-en/insights/cloud/next-gen-data-platforms
[31] Forrester. (2024). Hybrid and multi-cloud data ecosystems: Trends and challenges. Forrester. https://www.forrester.com/report/hybrid-and-multicloud-data-ecosystems/RES178943
[32] Deloitte. (2023). Data governance frameworks for intelligent platforms. Deloitte. https://www2.deloitte.com/us/en/pages/risk/articles/data-governance-frameworks.html
[33] TechRepublic. (2024, May 10). Enterprise use cases for intelligent data lakes. TechRepublic. https://www.techrepublic.com/article/intelligent-data-lakes-use-cases/
[34] Capgemini. (2024). Evaluating data platform scalability in enterprise AI. Capgemini. https://www.capgemini.com/insights/research-library/data-platform-scalability-in-enterprise-ai/
