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@article{184236,
        author = {Pravin Kumar Dwiwedi},
        title = {Addressing Metadata Synchronization Challenges: Iceberg Rest Catalog as an Interoperability Enabler},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {679-683},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184236},
        abstract = {Apache Iceberg [1] is a high-performance open-source table format for large analytic tables. I was developed at Netflix [2] and donated to the Apache Foundation. This research examines the importance of Iceberg REST Catalog (IRC) [3] for Iceberg Open Table format. This supports implementation for achieving true cross-platform interoperability in modern data lake architectures. The study demonstrates that IRC provides cross-platform interoperability without creating data copies at consumer end. This supports near real-time data consumption. This also enables the significant cost reductions in storage, operational, and engineering expenses. Based on OpenAPI specification, IRC offers centralized security policies across analytics platforms and tools. Through comparative analysis of integration approaches between AWS Data Lake and Snowflake, this paper illustrates how IRC eliminates data duplication, maintains single source of truth for the data. It provides unified access policy enforcement while avoiding vendor lock-in.},
        keywords = {Apache Iceberg, IRC, REST Catalog, Cross-Platform interoperability, Data Lake, Metadata Management, Open Table Format, Analytical Data Platforms, Modern Data Lake},
        month = {September},
        }