Tall Arrays
Tall arrays provide a way to work with data backed by a datastore that can
have millions or billions of rows. You can create tall numeric arrays, cell
arrays, categoricals, strings, datetimes, durations, or calendar durations,
and you can use any of these tall types as variables in a tall table or tall
timetable. Many operations and functions work the same way with tall arrays
as they do with in-memory MATLAB® arrays, but most results are evaluated only when you request
them explicitly using gather. MATLAB automatically optimizes the queued calculations by minimizing
the number of passes through the data. For more information, see Tall Arrays for Out-of-Memory Data .
For more information about integrating with big data systems or compiling tall array algorithms, see Extend Tall Arrays with Other Products.
Functions
Topics
Tall Arrays for Out-of-Memory Data
Learn about tall arrays and perform an example calculation.
Deferred Evaluation of Tall Arrays
How to leverage deferred execution of tall arrays to optimize performance of calculations.
Index and View Tall Array Elements
Extract, assign, and view portions of a tall array.
Grouped Statistics Calculations with Tall Arrays
This example shows how to calculate grouped statistics of a tall timetable containing power outage data.
Visualization techniques for tall arrays.
Extend Tall Arrays with Other Products
List of products that enhance capabilities of tall arrays.
Develop Custom Tall Array Algorithms
Development guide for authoring custom algorithms to operate on tall arrays.
