THE IMPORTANCE OF BIG DATA IN GAZ-CHEMICAL INDUSTRIES
Keywords:
Phyton, future forecast, Hadoop, Spark, Machine learning, decision making, data transformation, extracting and analyzing information.Abstract
Nowadays, most Gaz-chemical industries including UzGTL have been focusing on enhancing their productivities and avoiding problems which may occur while running manufacturing process. To achieve this, main address is about to produce BIG DATA based on their potential afford. As a BIG DATA provides opportunities to making fast and right decision in real time and even for future forecasts based on all data stream coming from different sectors of an industrial company. When the Big data platform is developed by Phyton or MATLAB programming language, it becomes more effective than traditional ones as these programming languages are highly to build strong connection between software and hardware of the industrial sectors.
References
How to choose Hadoop or spark in building big data. In 2021
https://www.quora.com/What-is-the-difference-between-Hadoop-and-Spark
Hadoop components in big data platform. Programming process.2020. https://www.quora.com/Is-Spark-a-component-of-the-Hadoop-ecosystem
Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. SIGMOD Rec. ´ 1993;22(2):207–16.
Lam C. Hadoop in Action, 1st edn. Greenwich, CT, USA: Manning Publications Co.; 2010.
Evaluating associative classification algorithms for Big Data. Francisco Padillo1, José María Luna1,3 and Sebastián Ventura1,2,3*
2. Venturini L, Baralis E, Garza P. Scaling associative classification for very large datasets. J Big Data. 2017;4(1):44. https://doi.org/10.1186/s40537-017-0107-2. 33.
del Río S, López V, Benítez JM, Herrera F. On the use of mapreduce for imbalanced big data using random forest. Inf Sci. 2014;285:112–37
