All these entities are stored in a Storage Account. In a single table, users can store one or more entities. To store this data Azure table storage has certain architecture as given in the figure below. Architecture of Azure Table StorageĪzure Table Storage can store a huge volume of data in NoSQL datastores and users can query this structured and non-relational data to read and write tables. also store data coming from web apps, IoT devices, or other metadata which is flexible can increase and decrease datasets easily. Compared to traditional relational or SQL database storage It is very low in cost for the same volume of data and It can. Azure Table storage service is cost-effective and also has low latency while reading and writing data from tables. Table storage stores data in keys or attributes by using schema-less design and due to schema-less property this service can be scaled dynamically and also adapts to the data as data changes or applications evolve with time. Microsoft Azure cloud service offers Azure Table Storage as a service to store and manage the big volume of structured NoSQL data (Big Data) on the cloud.
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