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| Format: | Recurso digital |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.14763574 |
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| _version_ | 1866901435345534976 |
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| author | Hari Prasad Bomma |
| author_facet | Hari Prasad Bomma |
| contents | <p>Legacy systems have persistently been a major obstacle for organizations, preventing them from aligning with evolving business needs and technological advances. These outdated systems often lead to inefficiencies, increased maintenance costs, and difficulty in integrating with newer technologies. Consequently, organizations find it challenging to remain competitive and responsive to market changes, ultimately impacting their growth and innovation potential. This research paper delves into the intricacies of migrating from a legacy system to Azure Synapse Analytics, a comprehensive analytics service that offers a unified platform for data integration, data warehousing, and big data analytics.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14763574 |
| institution | Zenodo |
| language | |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Migration from Legacy System to Azure Synapse Analytics: Challenges and Outcomes Hari Prasad Bomma <p>Legacy systems have persistently been a major obstacle for organizations, preventing them from aligning with evolving business needs and technological advances. These outdated systems often lead to inefficiencies, increased maintenance costs, and difficulty in integrating with newer technologies. Consequently, organizations find it challenging to remain competitive and responsive to market changes, ultimately impacting their growth and innovation potential. This research paper delves into the intricacies of migrating from a legacy system to Azure Synapse Analytics, a comprehensive analytics service that offers a unified platform for data integration, data warehousing, and big data analytics.</p> |
| title | Migration from Legacy System to Azure Synapse Analytics: Challenges and Outcomes |
| url | https://doi.org/10.5281/zenodo.14763574 |