Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{143814,
        author = {monica bansal},
        title = {schema agnostic indexing with live indexes},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {2},
        pages = {26-31},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143814},
        abstract = {Now-a-days, schema is the most popular standardized language to describe data. Developers are working with applications that create massive volumes of new, rapidly changing data types — structured, semi-structured, unstructured and polymorphic data. Long gone is the twelve-to-eighteen-month waterfall development cycle. Now small teams work in agile sprints, iterating quickly and pushing code every week or two, some even multiple times every day. Organizations are now turning to scale-out architectures using open source software, commodity servers and cloud computing instead of large monolithic servers and storage infrastructure. Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today. This research paper proposes a model to allow insertion of the data without a predefined schema and also with schema agnostic indexing with the concept of live indexes. It makes it easy to make significant application changes in real-time, without worrying about service interruptions – which means development is faster, code integration is more reliable, and less database administrator time is needed. },
        keywords = {automatic indexing, live indexes, nosql, schema agnostic},
        month = {},
        }