Archive for the Data Preparation category

Boris Glavic

Why Uncertainty is Unavoidable and What We Can Do About That

Analytics, Data Preparation, Databases

Uncertainty arises naturally in many application domain due to measurement errors, human error in data entry or transformation, missing data and bias in data collection, missing values, and many other reasons. When uncertainty is ignored during data preprocessing and analysis, this leads to hard to trace errors which can have severe real world implications such […]

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Arun Kumar

Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?

AutoML, Data Preparation, Machine Learning

For almost 30 years, the DB / data management community has intensively studied the vexing pains of data integration, cleaning, and transformation. This research has largely been in the contexts of RDBMSs, SQL-oriented business intelligence (BI), and knowledge base construction. But as the emerging interdisciplinary field of Data Science gains prominence, the massive pain of […]

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