OPTILYZER: Hawk-Eye Technology for Data Integration & Performance Optimization

Data Comparison and Performance Optimization are key challenges we face when we talk about humongous volume of data. OPTILYZER, a user-friendly interface is proposed to overcome these challenges. The 4V's which are ruling in market due to which Big Data has come into existence that are Volume,...

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Veröffentlicht in:2020 IEEE International Conference for Innovation in Technology (INOCON) S. 1 - 5
Hauptverfasser: Rathod, Pawan Manoj, Kushwaha, Vartika, Sengar, Rashi Singh, Alexander, Rhea
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 06.11.2020
Schlagworte:
Amazon Web Service (AWS)
Business
Data integration
Distributed databases
Hadoop Distributed File System (HDFS)
Java Database Connectivity (JDBC)
OPTILYZER
Optimization
Query processing
XML
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Beschreibung
Zusammenfassung:Data Comparison and Performance Optimization are key challenges we face when we talk about humongous volume of data. OPTILYZER, a user-friendly interface is proposed to overcome these challenges. The 4V's which are ruling in market due to which Big Data has come into existence that are Volume, Velocity, Variety and Veracity. Data Analysts use data for activities like forecasting or deep learning and in order to process these data various tools are available which helps to achieve this task with minimum efforts, but problem arises with legacy data. Legacy data piles up the space and hinders the performance of the current process. This system provides an efficient way to archive these data so as to reduce the space and time complexity of the current process also helps to resolve the challenges faced in data comparison between various heterogeneous platforms like Hive, MySQL and Redshift which have different structure and syntax for processing the data.
DOI:10.1109/INOCON50539.2020.9298335