Abstract: A network-based database system that performs consistency checks on data files to which the network-based database system does not have write access is provided. The network-based database system monitors a data file stored in a read-only storage system for changes. Upon detecting a change, the network-based database system performs a data consistency check using the content of the data file and its first metadata. If an inconsistency between the content and the first metadata is detected, the network-based database system sets a flag in second metadata, which is stored in a writable storage system, indicating the detected inconsistency. The network-based database system detects this flag during the execution of a query against a data object of the data file and executes the query without query performance tuning based on the detection of the flag, ensuring accurate query results.

Abstract: Embodiments of the present disclosure may provide a data protection system that performs identification of errors from queries on a database. The data protection system can further identify corrupted data from additional errors, are difficult to detect, and occur between layers of data in the database system. The data protection system can perform corrections of the error data by rebuilding database data or removing the corrupted data.

Abstract: Embodiments of the present disclosure may provide a data protection system that performs identification of errors from queries on a database. The data protection system can further identify corrupted data from additional errors, are difficult to detect, and occur between layers of data in the database system. The data protection system can perform corrections of the error data by rebuilding database data or removing the corrupted data.

Abstract: Methods, systems, and computer programs are described for tracking evaluation of workload stability through performance indexing. A plurality of metric source data is received by at least one hardware processor. Based on this data, a workload is identified as a stable workload candidate. A performance index is then generated, reflecting the characteristics of the identified stable workload candidate. The performance index is continuously tracked over a period of time, enabling the detection and analysis of any modifications to the workload and the subsequent impact on system performance.

Abstract: Methods, systems, and computer programs are presented for providing performance metrics in an online performance analysis system employing customer production workloads. A plurality of metric source data is received from a cloud data platform. A workload is identified as a stable workload candidate based at least in part on the plurality of metric source data. The cloud data platform generates a performance index based on the workload being identified as a stable workload candidate. The performance index is tracked over a period of time to identify changes in workload.

Abstract: Embodiments of the present disclosure may provide a data protection system that performs identification of errors from queries on a database. The data protection system can further identify corrupted data from additional errors, are difficult to detect, and occur between layers of data in the database system. The data protection system can perform corrections of the error data by rebuilding database data or removing the corrupted data.

Abstract: Embodiments of the present disclosure may provide a data protection system that performs identification of errors from queries on a database. The data protection system can further identify corrupted data from additional errors, are difficult to detect, and occur between layers of data in the database system. The data protection system can perform corrections of the error data by rebuilding database data or removing the corrupted data.