The goal of this research project is to introduce a new and trendy topic in databases.

 

The Topic Is As Follows: 

Performance Optimization of Hadoop and Map Reduce: Hadoop and MapReduce have become popular tools for processing large-scale data, but there is ongoing research focused on improving their performance. This includes developing new algorithms for scheduling and task allocation, improving data locality, and optimizing network communication.

 

Questions: 

Present the general research topic -
• When did this research begin? Who are the leaders in this area of research? What are the leading conferences?
• Why is the important? What are the applications? Etc.
• What are the features of ...? Relevant Methodologies?
• 1-3 slides will contain an illustrative example (e.g., example of graph database, postgreSQL code etc.). All code must be tested. PROVIDE RELEVANT EXAMPLES ONLY.
o References (NO ONLINE LINKS, ONLY ACM, IEEE, AND JOURNAL
PAPERS)
• All code must be properly documented.

 

NOTE: NO ONLINE LINKS, ONLY ACM, IEEE, AND JOURNAL
PAPERS

  

List of few conferences on databases: Performance Optimization of Hadoop and Map Reduce: Hadoop and MapReduce have become popular tools for processing large-scale data, but there is ongoing research focused on improving their performance. This includes developing new algorithms for scheduling and task allocation, improving data locality, and optimizing network communication. Massive Storage Systems and Technology Conference http://storageconference.us o ACM SIGMOD International Conference on Management of Data O o https://sigmod2019.org/ Very Large Databases Conference o http://www.vldb.org/conference.html Beyond Databases, Architectures and Structures (BDAS) Conference o http://bdas.polsl.pl Find others Relevant Papers: 1.) "Mapping UML to Object-Relational Databases" by J. A. R. Nascimento and others. This paper proposes a new approach for mapping Unified Modeling Language (UML) models to object-relational databases, and evaluates its effectiveness using a case study. 2.) "Performance Optimization Techniques for Object-Relational Database Systems" by B. Wu and others. This paper presents a set of performance optimization techniques for object-relational database systems, including index selection, query optimization, and caching. 3.) Chrimes D, Zamani H. Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services. Comput Math Methods Med. 2017;2017:6120820. doi: 10.1155/2017/6120820. Epub 2017 Dec 11. PMID: 29375652; PMCID: PMC5742497. 4.) F. Abdelhedi, A. Ait Brahim, F. Atigui, and G. Zurfluh. 2017. MDA-based approach for NoSQL databases modelling. Lecture Notes in Computer Science (including