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Subject Details
Dept     : AIDS
Sem      : 5
Regul    : 2019
Faculty : PRIYADHARSHINI.S
phone  : 9943082082
E-mail  : priyadharshini.s.ad@snsce.ac.in
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Assignments

Due Date Is Over
Due Date: 05-09-2024
Evolution of Big Data
A financial institution is facing challenges in fraud detection due to the massive volume of transactions and the diversity of data sources. They plan to implement a Big Data Analytics solution to enhance their fraud detection system. Question: Analyze how the financial institution can classify and manage the digital data involved in fraud detection. Discuss the evolution of Big Data in finance, the tools available for analytics, and how they can address the challenges of processing and analyzing large datasets.
Due Date Is Over
Due Date: 06-09-2024
Big Data Analytics
A healthcare organization is implementing Big Data Analytics to improve patient care by analyzing electronic health records (EHRs), medical imaging data, and real-time monitoring data from wearable devices. Question: Considering the case study, discuss the importance of Big Data Analytics in healthcare. Highlight the characteristics of the data involved, the potential challenges in handling this data, and how different types of analytics can be used to improve patient outcomes.
Due Date Is Over
Due Date: 10-10-2024
Hadoop Implementation in Retail Analytics
Analyze a retail company's use of Hadoop to process customer transaction data. Discuss the benefits and challenges faced during implementation. Reg no : 13 to 22, 73 to 82
Due Date Is Over
Due Date: 10-10-2024
Hadoop in Financial Services
Study a financial institution’s approach to using Hadoop for risk management and fraud detection. What are the key components of their architecture? Reg No : 83 to 92, 23 to 32
Due Date Is Over
Due Date: 10-10-2024
Hadoop Overview
Explain the core components of the Hadoop ecosystem and their roles. Compare and contrast Hadoop with traditional RDBMS. What are the strengths and weaknesses of each? Reg . No : 1 to 12 , 61 to 72
Due Date Is Over
Due Date: 10-10-2024
Data Processing with Hadoop
Illustrate the process of data ingestion in Hadoop. What tools can be used for this purpose? Explain how data is processed in a Hadoop environment using MapReduce. Provide a simple example. Reg.No : 93 to 102,33 to 42
Due Date Is Over
Due Date: 10-10-2024
MapReduce
What are the main phases of the MapReduce model? Explain the significance of each phase. Discuss the features of MapReduce that make it suitable for large-scale data processing. Reg.No : 43 to 60 , 103 to 120
Due Date Is Over
Due Date: 10-10-2024
YARN
What is YARN, and how does it improve resource management in Hadoop clusters? Compare the architecture of YARN with the traditional MapReduce framework. Reg.No : 501 to 513