Technologies of Big Data Analytics in Distributed Computing Systems
DOI:
https://doi.org/10.18372/2073-4751.4.12821Keywords:
Big Data, програмне забезпечення, розподілені обчислення, ІоT, Pandas, Python, статистична обробка даних, бази даних, ЦОД, Kafka, Cassandra, MapReduce, Hadoop, SparkAbstract
The existing technologies and software tools of Big Data analysts are analyzed, their advantages anddisadvantages are highlighted. Infrastructure and statistical methods of Big Data analysis areconsidered. The distributed processing technologies are analyzed and the Big Data identification andstorage problems are highlighted. Based on the analysis, the main problems of Big Data analysts areidentified, which in the future need to be solvedReferences
BIG DATA: Інноваційні можливості підвищення прибутковості агробізнесу // [Електронний ресурс] – Режим доступу: http://www.agrobusiness.com.ua/ideii-i-trendy/8383-bigdata-innovatsiini-ozhlyvostipidvyschennia-prybutkovostiagrobiznesu.
html
Web Scraping Tools to Extract Online Data // [Електронний ресурс] – Режим доступу:https://www.hongkiat.com/blog/webscraping-
tools/
David Haertzen. ETL Tools // The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics. – Technics Publications, 2012. –
p.
ETL or ELT and the Use Case // [Електронний ресурс] – Режим доступу: https://www.linkedin.com/pulse/etl-elt-usecase-mich-talebzadeh-ph-d-/
What Is Apache Hadoop? // [Електронний ресурс] – Режим доступу: http://hadoop.apache.org/
Apache Kafka. А distributed streaming platform // [Електронний ресурс] – Режим доступу: https://kafka.apache.org/
Apache Cassandra // [Електронний ресурс] – Режим доступу: http://cassandra.apache.org/
Apache Spark. А fast and general engine for large-scale data processing // [Електронний ресурс] – Режим доступу: https://spark.apache.org/
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