Search results
Results from the WOW.Com Content Network
Azure Table Service is a NoSQL non-relational database. Blob Service allows programs to store unstructured text and binary data as object storage blobs that can be accessed by an HTTP(S) path. Blob service also provides security mechanisms to control access to data.
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]
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live.
A data lake is a system or repository of data stored in its natural/raw format, [1] usually object blobs or files. A data lake is usually a single store of data including raw copies of source system data, sensor data, social data etc., [ 2 ] and transformed data used for tasks such as reporting , visualization , advanced analytics , and machine ...
Azure (heraldry), a blue tincture on flags or coats of arms; Azure, a periodical on Jewish thought and identity; Azure, by Gustave Van de Woestijne "Azure" (song), by Duke Ellington "Azure", a song by The Third and the Mortal from the album Painting on Glass; Azure, a 2007 single by Slam also featured on the album Human Response
The access nodes maintain a synchronized directory of content addresses, and the corresponding storage node where each address can be found. When a new data element, or blob, is added, the device calculates a hash of the content and returns this hash as the blob's content address. [8]
This makes it possible for multiple users on multiple machines to share files and storage resources. Distributed file systems differ in their performance, mutability of content, handling of concurrent writes, handling of permanent or temporary loss of nodes or storage, and their policy of storing content.
Stream Analytics supports three different types of input sources - Azure Event Hubs, Azure IoT Hubs, and Azure Blob Storage. [2] Additionally, stream analytics supports Azure Blob storage as the input reference data to help augment fast moving event data streams with static data. [2] Stream analytics supports a wide variety of output targets.