datastore function creates a datastore,
which is a repository for collections of data that are too large to
fit in memory. A datastore allows you to read and process multiple
files as a single entity. If files are too large to fit in memory,
you can manage the incremental import of data, create a
to work with the data, or use the datastore as an input to
further processing. For more information, see Getting Started with Datastore.
||Create TabularTextDatastore object for collections of tabular text data|
||Create ImageDatastore object for collections of image data|
||Create SpreadsheetDatastore object for collections of spreadsheet data|
||Create FileDatastore object for collections of custom files|
||Create datastore for large collections of data|
||Datastore for tabular text files|
||Datastore for image data|
||Datastore for spreadsheet files|
||Datastore for key-value pair data|
||Datastore for custom format files|
||Datastore for checkpointing tall arrays|
A datastore is an object for reading a single file or a collection of files or data.
This example shows how to create a datastore for a large text file containing tabular data, and then read and process the data one chunk at a time or one file at a time.
This example shows how to create a datastore for a collection of images, read the image files, and find the images with the maximum average hue, saturation, and brightness (HSV).
This example shows how to create a datastore for key-value pair data in a MAT-file that is the output of mapreduce.
This example shows how to create a datastore for a Sequence file containing key-value data.
datastore to access remote
data in Amazon S3™ or HDFS™.
This example shows how to use
mapreduce to find images with maximum hue, saturation and brightness values in an image collection.
Learn about tall arrays and perform an example calculation.