Copyright © 2026 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{165277,
        author = {Sarim and Salim Ali and Deepak kumar and Ashish Chauhan},
        title = {Product Sales Analysis : Analysis Powered By Databricks,Spark and Spark Sql},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {927-931},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165277},
        abstract = {In this 21st century the data is reaching to the skies with fast-growing advancements in E-commerce and product-centric organizations so the data science and the data analytics are the backbones of company. we improve the sales of product after Predicting and analyzing the product for more profit. Big Data application enables these organizations to use prior year’s data to better forecast and predict the coming year’s sales. It also enables retailers with valuable and analytical insights, especially determining customers with desired products at desired time in a particular store at different geographical location.},
        keywords = {Big Data, Data Analytics, Databricks, Spark SQL, Business Intelligence},
        month = {},
        }