Data partitioning deals with the dividing of a collection of data into smaller collections of data for the purpose of faster processing, easier statistics gathering and smaller memory/persistence footprint.
What is the difference between DataFrame repartition() and DataFrameWriter partitionBy() methods? I hope both are used to "partition data based …
apache-spark-sql data-partitioningI'd like to partition a list into a list of lists, by specifying the number of elements in each partition. …
c# list data-partitioningI have a hard time translating QuickSort with Hoare partitioning into C code, and can't find out why. The code …
c algorithm sorting quicksort data-partitioningWith caret package, when creating data partition 75% training and 25% test, we use: inTrain<- createDataPartition(y=spam$type,p=0.75, …
r partitioning r-caret data-partitioningI'm trying to query a table in Windows Azure storage and was initially using the TableQuery.CombineFilters in the TableQuery&…
azure azure-table-storage data-partitioningFrom the documentation: For bootstrap samples, simple random sampling is used. For other data splitting, the random sampling is done …
r subset r-caret data-partitioningLet's say I have a list, and a filtering function. Using something like >>> filter(lambda x: x &…
python filter data-partitioningHow many different partitions with exactly two parts can be made of the set {1,2,3,4}? There are 4 elements in this list …
math discrete-mathematics data-partitioningI'm programming in R. I've got a vector containing, let's say, 1000 values. Now let's say I want to partition these 1000 …
r vector set data-partitioningI have a large JSON file with I'm guessing 4 million objects. Each top level has a few levels nested inside. …
json jq data-partitioning