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Advancing Big Data Best Practices

Data Preparation: Data Cleansing

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Webinar Description

Data preparation is the process of cleaning, standardizing and enriching raw data to make it ready for use in analytics and data science. It is said that most data analysts and data scientists spend more than 80% of their time finding, cleansing and organizing data.

 

Data cleaning is the process that involves altering existing records to detect and to correct (or remove) corrupt or inaccurate records from a record set, table, or database.

 

In this webinar, Jan Willem will explain the key objectives of data cleansing and the purpose of the operations typically used in a data cleansing process.

Speaker

Jan-Willem Middelburg, the author of the Enterprise Big Data Framework publications.

 

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This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.
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