Building a Unified Enterprise Data Hub: Combining Google Query, SQL, and Cloud Integration for Real-Time Decision Making
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P123Keywords:
Enterprise Data Hub, Google Query, SQL, Cloud Integration, Real-Time Analytics, Enterprise Data Integration, Data Transformation, Data Quality, Cloud Computing, Data Pipeline, Decision Intelligence, Data GovernanceAbstract
Businesses struggle to get a consistent and timely view of information since enterprise data often resides across operational databases, cloud apps, spreadsheets, APIs and business platforms. The traditional batch - focused integration may result in a delay in data availability and so decision makers can be forced to work with fragmented, outdated or inconsistent data sources. The paper proposes a Unified Corporate Data Hub that incorporates Google Query capabilities, SQL-based data processing, and cloud connectivity to consolidate company data and provide it with minimal latency. The proposed approach unifies data ingestion, normalization, SQL processing, query services, integration orchestration, data quality controls, security, and real-time analytics into a single framework. Data from various sources are collected and normalized before applying transformations, joins, validation criteria and business logic using SQL driven processes. The cloud integration orchestrates the transfer across source systems, the data hub, analytical services and down-stream applications, while subsequent query features allow flexible access to the consolidated information. A representative corporate case study evaluates the framework in terms of data accessibility, query efficiency, integration delay, consistency, operational transparency, scalability and velocity of decision making. The expected results describe how a unified data strategy may break down information silos, improve data reliability, facilitate quicker access to business insights, and support companies in making better operational and strategic decisions with modern enterprise data.
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