Webinar Description
Most data sets contain data that is duplicate, erroneous or even plain missing. Frequently, data sets have been built up over many years, during which time fields in databases have changed, were renamed, or simply ignored.
To determine the quality of the data set, a data analyst would be required to go through the process of data inspection to obtain a “Tidy Data”.
In this webinar, Jan Willem will use real-life data set samples and introduce the 3 step best practice in conducting a data inspection.
Speaker
Jan-Willem Middelburg, the author of the Enterprise Big Data Framework publications.


