July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Aggregations
Aggregation is the method of collecting data based on a condition and performing analytics on the data. Aggregation is very important to make sense of data of all sizes, as just having raw records of data is not that useful for most use cases.
For example, if you look at the following table and then the aggregated view, it is obvious that just raw records do not help you understand the data.
Imagine a table containing one temperature measurement per day for every city in the world for five years.
Shown in the following is a table containing records of average temperature per day per city:
|
City |
Date | Temperature |
| Boston | 12/23/2016 | 32 |
| New York | 12/24/2016 | 36 |
| Boston | 12/24/2016 | 30 |
| Philadelphia | 12/25/2016 | 34 |
| Boston | 12/25/2016 ... |
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