Paper Info
Title
IBDP: An Industrial Big Data Ingestion and Analysis Platform and Case Studies.
Abstract
The Internet of Things (IoT) brings traditional Internet industry and society with new trends and promising technologies. For industrial information with high amount and renewal speed characteristics, resulting in difficult data ingestion and analysis, this paper presented an Industrial Big Data ingestion and analy-sis Platform (IBDP). In the platform, we integrated HDFS, Spark, Hive, HBase, Flume, Sqoop, OpenStack etc. It works well for industrial data ingestion and analysis. In addition, we report some case studies on industrial big data processing flows respect to different data types.
Year
DOI
Venue
2015
10.1109/IIKI.2015.55
IIKI
Keywords
Field
DocType
Big Data, Internet of Things, Industrial big data, Industrial Internet of Things
Data science,Big data processing,Spark (mathematics),Computer science,Computer security,Internet of Things,Industrial Internet,Data type,Distributed database,Big data,The Internet
Conference
Citations 
PageRank 
References 
3
0.55
4
Authors
5
Name
Order
Citations
PageRank
Cun Ji1112.06
Shijun Liu212033.80
Chenglei Yang321935.20
Lei Wu47317.47
Li Pan53918.95