Work2015

IBDP: An Industrial Big Data Ingestion and Analysis Platform and Case Studies

Cun Ji · Shijun Liu · Chenglei Yang · Lei Wu · Li Pan

16 citations0/0 files storedInternational Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

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Big Data Technologies and Applications Cloud Computing and Resource Management Smart Grid and Power Systems

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 analysis 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.

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2013Data mining with big data 2012The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East 2012Challenges and opportunities with big data 2013Mining big data 2012Agencies Rally to Tackle Big Data

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