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,...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2020 IEEE International Conference for Innovation in Technology (INOCON) s. 1 - 5
Hlavní autoři: Rathod, Pawan Manoj, Kushwaha, Vartika, Sengar, Rashi Singh, Alexander, Rhea
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 06.11.2020
Témata:
Amazon Web Service (AWS)
Business
Data integration
Distributed databases
Hadoop Distributed File System (HDFS)
Java Database Connectivity (JDBC)
OPTILYZER
Optimization
Query processing
XML
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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