Abstract: Techniques are disclosed relating to determining a predicted time interval for querying a database beginning at a starting point in time to retrieve a specified number of records. A computer system receives a request for records from a database that stores timestamped records, where the request is for a specified number of records beginning at a starting point in time. The computer system then determines a predicted time interval for querying the database beginning at the starting point in time to retrieve the specified number of records, where the predicted time interval may be determined by a machine learning module that is trained using historical database transaction data. Such techniques may advantageously improve the efficiency of individual queries in fetching a desired amount of data from a database for applications.

Abstract: Techniques are disclosed relating to determining a predicted time interval for querying a database beginning at a starting point in time to retrieve a specified number of records. A computer system receives a request for records from a database that stores timestamped records, where the request is for a specified number of records beginning at a starting point in time. The computer system then determines a predicted time interval for querying the database beginning at the starting point in time to retrieve the specified number of records, where the predicted time interval may be determined by a machine learning module that is trained using historical database transaction data. Such techniques may advantageously improve the efficiency of individual queries in fetching a desired amount of data from a database for applications.

Abstract: The systems and methods that validate data are provided. The systems and methods include a validation module which is a single solution for validating data in multiple services. The validation module is incorporated into a service. The validation module is provided with a configuration file that includes a test case identifier and with test case data that corresponds to the test case identifier. The validation module hijacks a request that is processed by a service and identifies a data element in the request that corresponds to the test case identifier in the configuration file. The validation module then validates data in the request against test case data that corresponds to the test case identifier.