Abstract: A system and method for the device may include reading a plurality of rows of a database. In addition, the device may include generating a secondary hash value for each row of the plurality of rows. The device may include generating a plurality of row groups, each including a group of unique rows of the plurality of rows, based at least on the secondary hash value. Moreover, the device may include generating a primary hash value for each row group of the plurality of row groups. Also, the device may include updating a backup of the database based on a first-row group of the plurality of row groups, in response to determining that a primary hash value of the first-row group does not match any primary hash value associated with the backup of the database.

Abstract: A method and system for restoring a digital backup of a database application hosted on a virtual machine are presented. The method includes generating a bootable volume on a new virtual machine, wherein the new virtual machine is different than the virtual machine hosting the database application; importing data from a plurality of files into the bootable volume, wherein the plurality of files are included in a data backup of the digital backup, and wherein each file of the plurality of files is in a column-oriented storage format; and restoring a virtualization backup included in the digital backup into the bootable volume.

Abstract: A method and system for updating backup data for a database is presented. The method includes initiating a merging operation for a defined time interval; obtaining change data capture (CDC) data generated during the defined time interval; aggregating and ordering the CDC data by a key value; identifying backup data associated with the ordered CDC data; generating a candidate data object that represents data modified during the defined time interval; deduplicating the candidate data object by comparing a hash identifier of the candidate data object with a plurality of hash identifiers stored in a repository; storing the candidate data object when the comparison determines that no matching hash identifier exists in the repository; and updating backup metadata to associate the key value with the candidate data object.

Abstract: A method and system for optimizing backup policies based on backup posture controls are presented. The method includes probing one or more accounts on a cloud infrastructure so as to identify content of cloud resources hosted by the cloud infrastructure in association with the accounts; retrieving a set of backup posture controls, wherein the set of backup controls constrains backup requirements on identified cloud resources; retrieving backup policies defined for the cloud resources; comparing the backup requirements to the retrieve backup policies to detect conflicting backup policies, wherein a conflicting backup policy violates at least one backup posture control of the set of backup posture controls; modifying the detected conflicting backup policies, thereby optimizing the existing backup policies; and assigning the modified backup policy to a backup system to allow backup operations of the cloud resources based on at least one backup policy.

Abstract: A method and system for generating backup policies based on backup posture controls is presented. The method includes probing one or more accounts on a cloud infrastructure so as to identify content of cloud resources hosted by the cloud infrastructure in association with the accounts; retrieving a set of backup posture controls, wherein the set of backup controls defines backup requirements on the identified cloud resources; analyzing the backup requirements to create optimization rules and workload-specific rules; creating at least one backup policy based on the optimization rules and workload-specific rules; and assigning the at least one backup policy to a backup system to allow backup operations of the cloud resources based on the at least one backup policy.

Abstract: A method system for generating a digital backup of database applications to allow join operations. The method includes accessing a plurality of database applications hosted on a plurality of virtual machines; exporting data stored in the database applications to a plurality of files, each file utilizing a column-oriented storage format; generating a joinable backup by at least computing searchable values for each table in the plurality of database applications; searching for joinable database tables in the joinable backup; and generating a digital backup of the database application based on the plurality of files and the joinable backup, wherein the digital backup includes at least a list of joinable database tables.

Abstract: A system and method for the device may include accessing a database application hosted on a virtual machine, the virtual machine deployed in a computing environment. In addition, the device may include exporting data stored in the database application to a plurality of files, each file utilizing a column-oriented storage format; generating a virtualization backup only of the virtual machine; and generating a data backup of the database application based on the plurality of files.

Abstract: A method includes probing one or more accounts on a cloud infrastructure so as to identify content of multiple data resources hosted by the cloud infrastructure in association with the accounts, receiving, from a user of the accounts, a backup policy specifying one or more backup parameters and at least one set of one or more data-resource properties, identifying, based on the identified content, at least some of the data resources that have the data-resource properties, and backing up the identified data resources in accordance with the backup parameters. Other embodiments are also described.

Abstract: A system and method for querying multiple database tables in a database backup are provided. The method includes receiving identification of database tables to query, wherein the database tables in a column-based format, and the database backup includes for each database table classification data for at least classifying its respective column names; generating a prompt for a first language model that provides a set of queries targeting the database tables, wherein the generated prompt is based on at least a received input query and the classification data for the database tables; executing the set of queries on the database tables, wherein each query of the set of queries is executed on a respective database table; and aggregating and displaying results returned in response to the execution of the set of queries.