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@article{183425,
        author = {PROF S L PATIL},
        title = {A STUDY ON DATA WAREHOUSE – AN EMERGING TECHNOLOGY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1685-1688},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183425},
        abstract = {A digital storage system that links and unifies vast volumes of data from numerous sources is called a data warehouse (DW). In order for businesses to transform their data into insight and make informed decisions, it serves to support regulatory needs as well as business intelligence (BI), reporting, and analytics. Data warehouses serve as an organization's single source of truth by centrally storing both historical and current data.
Data flows into a data warehouse from operational systems (like ERP and CRM), databases, and external sources such as partner systems, Internet of Things (IoT) devices, weather apps, and social media – usually on a regular cadence. The emergence of cloud computing has caused a shift in the landscape. In recent years, data storage locations have moved away from traditional on-premises infrastructure to multiple locations, including in private and public clouds.
Both organized and unstructured data, such as images, videos, and sensor data, can be handled by modern data warehouses. Some leverage integrated analytics and in-memory database technology (which holds the data set in computer memory rather than in disk storage) to provide real-time access to trusted data and drive confident decision-making. Without data warehousing, it’s very difficult to combine data from heterogeneous sources, ensure it’s in the right format for analytics, and get both a current and long-range view of data over time.},
        keywords = {Meaning, Characteristics, Data Warehouse Architecture, Types, etc.},
        month = {August},
        }