Abstract: A request to restore a specific backup instance is received. In response to the received request to restore the specific backup instance, a new reference backup instance based on the specific backup instance stored at the storage controlled by the backup system is created at a storage controlled by a backup system. Data associated with the specific backup instance is provided to a recipient system from the storage associated with a backup system. A constructive incremental backup snapshot of the recipient system is performed based on the new reference backup instance.

Abstract: A request to restore a specific backup instance is received. In response to the received request to restore the specific backup instance, a new reference backup instance based on the specific backup instance stored at the storage controlled by the backup system is created at a storage controlled by a backup system. Data associated with the specific backup instance is provided to a recipient system from the storage associated with a backup system. A constructive incremental backup snapshot of the recipient system is performed based on the new reference backup instance.

Abstract: A request to restore a specific backup instance is received. In response to the received request to restore the specific backup instance, a new reference backup instance based on the specific backup instance stored at the storage controlled by the backup system is created at a storage controlled by a backup system. Data associated with the specific backup instance is provided to a recipient system from the storage associated with a backup system. A constructive incremental backup snapshot of the recipient system is performed based on the new reference backup instance.

Abstract: The disclosed embodiments illustrate methods data processing for real-time text analysis. The method includes receiving text content from a plurality of user-computing devices, wherein the text content comprises at least a current text segment and a previous text segment. The method further includes extracting one or more first features from the current text segment, wherein at least a first feature of the one or more first features corresponds to a difference between timestamps associated with each of the current text segment and the previous text segment. The method further includes categorizing the current text segment into a predetermined category of one or more predetermined categories, based on at least the one or more first features, automatically by utilizing a classifier. Further, the method includes predicting a likelihood of evolution of an attribute in the text content, based on the predetermined category associated with the current text segment.

Abstract: The disclosed embodiments illustrate methods data processing for real-time text analysis. The method includes receiving text content from a plurality of user-computing devices, wherein the text content comprises at least a current text segment and a previous text segment. The method further includes extracting one or more first features from the current text segment, wherein at least a first feature of the one or more first features corresponds to a difference between timestamps associated with each of the current text segment and the previous text segment. The method further includes categorizing the current text segment into a predetermined category of one or more predetermined categories, based on at least the one or more first features, automatically by utilizing a classifier. Further, the method includes predicting a likelihood of evolution of an attribute in the text content, based on the predetermined category associated with the current text segment.