Ankit Agarwal1, Shelley Saxena, Ravendra Singh, Vivek Mishra, Balendra Singh
Nitin Anand, Vatsala Sharma, Pardeep Singh
Abstract:
Transferring data across storage types, formats, including computer systems is data migration. It crucial for system installation, upgrading, and consolidation. Due to various business demands, numerous sectors have prioritized it. The ETL procedure is crucial to data warehouse construction. Data is extracted from different operation kinds and loaded into a data warehouse in diverse contexts using numerous technological methods. This method combines data from diverse sources and operation kinds and converts nonstandard data into standard ones. Systems and techniques may analyze an underlying language structure within the source data integration framework to establish logical syntax. The rapid growth of data-driven decision-making in modern enterprises has increased the reliance on Extract, Transform, and Load (ETL) processes and Data Warehousing systems. These components form the backbone of analytical and business intelligence operations by integrating, cleaning, and consolidating data from multiple sources into a unified repository. However, as the volume and complexity of data increase, so do the risks associated with unauthorized access, data leakage, and system vulnerabilities. This paper presents a comprehensive overview of the architecture of ETL and Data Warehousing systems, highlighting the key stages, workflows, and technologies involved. It further examines common security vulnerabilities, including data breaches, insider threats, injection attacks, and configuration weaknesses that compromise data integrity and confidentiality. Finally, the study explores security mechanisms and best practices such as encryption, authentication, access control, auditing, and secure ETL pipeline design to mitigate these threats. The analysis emphasizes the importance of embedding security measures throughout the data lifecycle to ensure trustworthy and resilient data warehousing environments.
Mkanga Mbaraka, Dr. Werneld E. Ngongi
Abstract:
This research assess the impacts of marine pollution on the sustainability of ecosystems at Tanga Port, Tanzania, focusing specifically on oil spills, waste and sewage, ballast water discharge, and the efficacy of regulatory frameworks. A mixed-methods approach was utilized, incorporating survey questionnaires distributed to 80 stakeholders, including ship operators, owners, ecologists, and regulatory officials, alongside qualitative interviews to gather experiential insights. The objective of the study was to identify the ecological consequences of pollution, evaluate the impacts of ballast water, and propose strategies for enhancing sustainable marine pollution management in Tanzania. The results indicated that oil spills, waste and sewage, and ballast water discharge are widely regarded as significant threats to marine biodiversity, aquatic habitats, and the stability of the food chain. Analyses of reliability and validity confirmed that the measurement instruments were reliable, while regression analyses revealed that perceptions of oil, sewage, waste pollution, and ballast water impacts were strong and positive predictors of environmental awareness and proactive behaviors. Overall, the model accounted for 55% of the variance in stakeholder engagement (R² = 0.55). Further analysis showed high levels of awareness regarding local (96.25%) and international (90%) safety regulations among vessel operators, with substantial evidence of regular engagement and inspections by regulatory authorities. Nonetheless, deficiencies in enforcement capacity, particularly concerning ballast water treatment and oil spill response infrastructure, persist as critical issues. The study concludes that although Tanzania has achieved significant progress in regulatory compliance and stakeholder awareness, enhanced institutional capacity, investment in infrastructure, and stricter enforcement are crucial.
Neema Motte Sanga, Dr. Msabaha Juma Mwendapole
Abstract:
The study evaluates the effects of digitalization on the efficiency of supply chain functions in the retail sector of Tanzania, specifically focusing on the Azam Bakhresa Group. As technology advances, retail supply chains face increasing demands to incorporate innovations like artificial intelligence, blockchain, the Internet of Things (IoT), and electronic procurement systems, such as TANePS. The research aims to evaluate how these technologies affect supply chain transparency, efficiency, responsiveness, and overall customer satisfaction in the Tanzanian context. Utilizing a descriptive research design and a mixed-methods approach, the study drew data from 80 respondents, including supply chain professionals, IT specialists, procurement officers, and retail managers, through questionnaires and in-depth interviews. The quantitative data were analyzed using descriptive statistics, while qualitative responses were thematically analyzed to provide depth to the numerical findings. Results indicated a strong consensus on the positive impact of digital tools. Over 95% of respondents recognized that emerging technologies enhance supply chain visibility, accountability, and responsiveness.
M.M.S.S.K Nawaneliya, Y.M.S.S.Yapa, WMNKL Wijesuriya
Abstract:
Background: Dengue Fever is the most geographically widespread arthropod-borne disease. It can present a variety of clinical spectra varying from asymptomatic illness to dengue shock syndrome.
Case Presentation: 42-year-old female patient who has presented with a three-day history of fever and subsequently developed dengue hemorrhagic fever with multi-organ failure. Despite intensive care management, the patient died three days after admission to a tertiary care hospital.
Conclusion: Early recognition of dengue hemorrhagic fever and appropriate management during the critical phase are crucial.
