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A Character Large OBject (or CLOB) is part of the SQL:1999 standard data types. It is a collection of character data in a database management system , usually stored in a separate location that is referenced in the table itself.
In the context of free and open-source software, proprietary software only available as a binary executable is referred to as a blob or binary blob.The term usually refers to a device driver module loaded into the kernel of an open-source operating system, and is sometimes also applied to code running outside the kernel, such as system firmware images, microcode updates, or userland programs.
Object storage (also known as object-based storage [1] or blob storage) is a computer data storage approach that manages data as "blobs" or "objects", as opposed to other storage architectures like file systems, which manage data as a file hierarchy, and block storage, which manages data as blocks within sectors and tracks. [2]
Images, audio and video files must be uploaded into Wikipedia using the "Upload file" link on the left-hand navigation bar. Only logged in users can upload files. Once a file is uploaded, other pages can include or link to the file. Uploaded files are given the "File:" prefix by the system, and each one has an image description page.
Mach-O – (no suffix for executable image, .o for object files, .dylib and .bundle for shared object files) Mach-based systems, notably native format of macOS, iOS, watchOS, and tvOS .NLM – NetWare Loadable Module the native 32-bit binaries compiled for Novell's NetWare Operating System (versions 3 and newer)
Object storage, or blob storage, that manages data as "blobs" or "objects" Binary blob, or blob, a non-free object in open source software; Blob URI scheme, a URI scheme for binary data; Blob, a region of an image subject to blob detection
Connected-component labeling (CCL), connected-component analysis (CCA), blob extraction, region labeling, blob discovery, or region extraction is an algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given heuristic. Connected-component labeling is not to be confused with segmentation.
In databases, change data capture (CDC) is a set of software design patterns used to determine and track the data that has changed (the "deltas") so that action can be taken using the changed data.