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Here's how you can align data architecture with business goals by collaborating with business analysts.
It is crucial to have synergy between business strategy and data architecture to achieve organizational goals and enhances the overall effectiveness and competitiveness of the enterprise. Data architecture is not only technically robust but also aligned with the strategic goals of the organization. This alignment transforms the data infrastructure from a purely technical construct into a strategic asset that drives business value. Together, they can optimize data assets, making them accessible, reliable, and actionable, thereby enabling informed decision-making across the organization.
Activity
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Wrapped up another beautiful journey of learning and growing.... Post Graduate Program in Data Science and Business Analytics from McCombs School of…
Wrapped up another beautiful journey of learning and growing.... Post Graduate Program in Data Science and Business Analytics from McCombs School of…
Liked by Sreekanth Solleti Prakash
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Verizon is a great place to work because it prioritizes employee well-being and professional development. The supportive and inclusive culture…
Verizon is a great place to work because it prioritizes employee well-being and professional development. The supportive and inclusive culture…
Liked by Sreekanth Solleti Prakash
Experience & Education
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Verizon
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Licenses & Certifications
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SAP HANA
SAP
Patents
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Enterprise resource planning (ERP) system change data capture
Issued US US 12/971,483
See patentA device receives, from a data warehouse, a request for incremental data, creates one or more temporary tables based on the request, and extracts incremental data from tracking tables of an enterprise resource planning (ERP) system. The device also stores the extracted incremental data in the one or more temporary tables, and joins the one or more temporary tables with one or more regular tables, where the one or more regular tables include data associated with the incremental data stored in…
A device receives, from a data warehouse, a request for incremental data, creates one or more temporary tables based on the request, and extracts incremental data from tracking tables of an enterprise resource planning (ERP) system. The device also stores the extracted incremental data in the one or more temporary tables, and joins the one or more temporary tables with one or more regular tables, where the one or more regular tables include data associated with the incremental data stored in the one or more temporary tables. The device further retrieves data from the joined one or more temporary tables and the one or more regular tables, and stores the retrieved data in the data warehouse.
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