February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Filtering patterns
The filtering pattern is simply filtering out records based on a particular condition. Data cleansing is one of the commonly used examples of a filtering pattern. The raw data may have records in which a few fields are not present or it's just junk that we cannot use in further analysis. Filtering logic can be used to validate each record and remove any junk records. The other example could be web article filtering based on particular word/regex matches. These web articles can be further used in classification, tagging, or machine learning use cases. The other use case could be filtering out all the customers who do not buy anything that is more than 500 dollars in value and then process it further for any other analysis. ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.