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BIG DATA WITH MATLAB: ACCESS DATA, WEB ACCESS, DATASTORE, AND TALL ARRAYS

ByCésar Pérez López

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Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions. Data import and export functions provide access to data from files, other applications, web services, and external devices. You can read popular file formats, such as Microsoft Excel spreadsheets, text, images, audio and video, and scientific data formats. Low-level file I/O functions let you work with data files in any format. Large data sets can be in the form of large files that do not fit into available memory or files that take a long time to process. A large data set also can be a collection of numerous small files. There is no single approach to working with large data sets, so MATLAB® includes a number of tools for accessing and processing large data. Begin by creating a datastore that can access small portions of the data at a time. You can use the datastore to manage incremental import of the data. To analyze the data using common MATLAB functions, such as mean and histogram, create a tall array on top of the datastore. 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. You can create a datastore to work with data stored in remote locations, such as cloud storage using Amazon S3 (Simple Storage Service) and Hadoop Distributed File System (HDFS).

Details

Publication Date
May 18, 2022
Language
English
ISBN
9781471729577
Category
Computers & Technology
Copyright
All Rights Reserved - Standard Copyright License
Contributors
By (author): César Pérez López

Specifications

Pages
247
Binding
Paperback
Interior Color
Black & White
Dimensions
A4 (8.27 x 11.69 in / 210 x 297 mm)

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