Abstract: According to certain aspects, a secondary computing system can be configured to perform a full backup on database data, generate incremental backups comprising log files associated with modifications to the database data, and create a differential full backup copy of the database data using the full backup copy and changed blocks identified using the log files from the incremental backups.

Abstract: Systems and methods for providing and/or facilitating live browsing of granular mail or mailbox data, such as data stored within Exchange mailboxes, are described. For example, the systems and methods may provide mechanisms for browsing and/or restoring granular data (e.g., email data) from an Exchange database backup copy (or other secondary copy), without having to restore the entire database from the backup copy.

Abstract: Systems and methods for providing and/or facilitating live browsing of granular mail or mailbox data, such as data stored within Exchange mailboxes, are described. For example, the systems and methods may provide mechanisms for browsing and/or restoring granular data (e.g., email data) from an Exchange database backup copy (or other secondary copy), without having to restore the entire database from the backup copy.

Abstract: According to certain aspects, a secondary computing system can be configured to perform a full backup on database data, generate incremental backups comprising log files associated with modifications to the database data, and create a differential full backup copy of the database data using the full backup copy and changed blocks identified using the log files from the incremental backups.

Abstract: According to certain aspects, a secondary computing system can be configured to perform a full backup on database data, generate incremental backups comprising log files associated with modifications to the database data, and create a differential full backup copy of the database data using the full backup copy and changed blocks identified using the log files from the incremental backups.

Abstract: Systems and methods for providing and/or facilitating live browsing of granular mail or mailbox data, such as data stored within Exchange mailboxes, are described. For example, the systems and methods may provide mechanisms for browsing and/or restoring granular data (e.g., email data) from an Exchange database backup copy (or other secondary copy), without having to restore the entire database from the backup copy.

Abstract: Systems and methods for providing and/or facilitating live browsing of granular mail or mailbox data, such as data stored within Exchange mailboxes, are described. For example, the systems and methods may provide mechanisms for browsing and/or restoring granular data (e.g., email data) from an Exchange database backup copy (or other secondary copy), without having to restore the entire database from the backup copy.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text.

Abstract: According to certain aspects, a secondary computing system can be configured to perform a full backup on database data, generate incremental backups comprising log files associated with modifications to the database data, and create a differential full backup copy of the database data using the full backup copy and changed blocks identified using the log files from the incremental backups.

Abstract: The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.

Abstract: Systems and methods for providing and/or facilitating live browsing of granular mail or mailbox data, such as data stored within Exchange mailboxes, are described. For example, the systems and methods may provide mechanisms for browsing and/or restoring granular data (e.g., email data) from an Exchange database backup copy (or other secondary copy), without having to restore the entire database from the backup copy.