Ownbackup Ltd.

Own Data Company Ltd.

Salesforce, Inc.

Ariel Berkman

Roy Emek

Adrian E Kunzle

Idan Liani

Binyamin Joseph Schein

Imri Heppner

Yuval Tobias

Tomer Shain

Idan Narotzki

Eoghan Casey

Etai Litov

Shay Israel Michaeli

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for validating data authenticity. One of the methods includes retrieving data that includes (i) an archived version of a data source, (ii) a first hash value, and (iii) a set of provenance data for the archived version of the data source; hashing the archived version of the data source to generate a second hash value; determining that the second hash value and the first hash value satisfy a similarity criterion; detecting one or more differences between archived data in the archived version of the data source and current data in a current version of the data source; determining, using the set of provenance data, whether the archived version of the data source is likely authentic; and in response, restoring one or more portions of the data source corresponding to some of the one or more differences.

Automated data authenticity validation

Methods, storage systems and computer program products implement embodiments of the present invention for data access that include identifying a set of tables in a database to be accessed by an application, and identifying first and second application programming interface (API) calls having different, respective access properties for accessing records in the tables via an API. Respective counts of the records in the tables are computed by a processor, and the set of tables are partitioned into first and second subsets responsively to the respective counts. The records in the first subset of the tables are accessed by having the application convey the first API call to the API, and the records in the second subset of the tables are accessed by having the application convey the second API call to the API.

Criteria-based API selection for data access

An information management system creates a modified representation of backup files in a backup copy on restore to overcome the difficulties and challenges imposed by the legal and administrative requirements on the handling of personally information without making changes to the backup copy. In an example, a restore modification component searches backup data files as they are restored from a backup copy but before the restored data files are written into the primary storage system. When the restore modification component identifies a backup data file with a record that matches search criteria defined in the modification repository, the restore modification component replaces one or more of the restored data field values in the record with replacement data values obtained from the modification repository according to respective replacement rules. In this way, the information management system can create a modified representation of the backup copy data without modifying the backup copy.

Modified representation of backup copy on restore

Embodiments of the present invention include generating, at a first time, a first copy of a database including multiple tables, the first copy including a set of first structured text files. During a time period subsequent to the first time, queries that request updates to the tables during the time period are periodically generated and conveyed to a system managing the database. Responsively to the periodic queries, any updates to the tables and their respective update times are received and stored to a journal including one or more second structured text files. At a subsequent time, a request to generate a second copy of the database is received, the second copy including a state of the database at a specified time during the time period. The first copy of the database is updated with the updates whose update times are prior to the specified time, thereby generating the second copy.

Continuous data protection using retroactive backup snapshots

The present disclosure relates to software development and, more specifically, to continuous integration (CI) based software development systems, methods, and computer program products in which a system-under-test (SUT) is populated with production data that has been filtered or transformed, or both. In accordance with this approach, the filtered or transformed production test data can be automatically generated and seamlessly integrated into a continuous integration process. In some examples, the resulting filtered or transformed test data closely reflects real production data while, at the same time, consuming less data storage space and protecting an individual's sensitive information.

Production data in continuous integration flows

Growing community of inventors

Herzliya, Israel

Ariel Berkman