Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.
Accelerating Big Data Analysis—Data Cleansing & Standardization Strategy
Posted by
Dr. Fanqi Meng on Mar 5, 2021 8:55:14 AM
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Topics: Engineering Data, automotive industry, Autonomous Vehicles, Sensor Data, Machine Learning, ADAS, Sensor Data Management, Factory 4.0
Around the globe, in practically every sector, manufacturing facilities are undergoing a major transformation. Factory 4.0, Smart Factories, is becoming a reality. Digitization is changing the way we process materials and make products. Data and the intelligence it can provide is proving to be the key to completely reshaping manufacturing.
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Topics: webinar, Edge Computing, Factory 4.0, Smart Factories, Manufacturing, Intelligent Data handling