Implementations include providing, by a computer-executed migration advisor executing within a run-time of a source database system, a query data set including queries processed by the source database system during production use of the source database system, providing, by the migration advisor, an object data set including data representative of database objects stored within a database of the source database system, generating, by the migration advisor, a list of query-level features and a list of object-level features, each feature in the list of query-level features and each feature in the list of object-level features including a feature that is deprecated in a target database system, resolving one or more issues represented by features of one or more of the list of query-level features and the list of object-level features, and executing migration of the database of the source database system to the database of the target database system.

Systems, methods, and computer-readable media are disclosed for an improved database. The systems, methods, and computer-readable media described herein may enhance the response time of databases and improve user experiences. In an example method described herein, a database monitoring system may receive instructions to perform one or more data monitoring operations comprising counting an occurrence of a first value within at least a portion of items stored in a database. The method may include determining a length of a first window of time and fetching, from a first location of a data store of the database, data indicative of a total count of the occurrence of the first value at a time associated with the beginning of the first window of time. In turn, the monitoring system may store data representing the first count in the first memory.

Techniques for improving system performance based on data characteristics are disclosed. A system may receive updates to a first data set at a first frequency. The system selects a first storage configuration, from a plurality of storage configurations, for storing the first data set based on the first frequency, and stores the first data set in accordance with the first storage configuration. The system may further receive updates to a second data set at a second frequency. The system selects a second storage configuration, from the plurality of storage configurations, for storing the second data set based on the second frequency, and stores the second data set in accordance with the second storage configuration. The second storage configuration is different than the first storage configuration.

Systems and methods for automatic error rejection are provided. Systems and methods described herein bypass the creation of a staging table at the outset and, instead, attempt a direct merge from a source data location to a target data location. In the event that the merge fails, then a temporary/staging table can be loaded where errors can be logged, validations can be performed, and erroneous data can be corrected.

The present disclosure provides a method and apparatus for building a database for retrieval. An implementation of the method comprises: acquiring a data set, and dividing the data set into a first data set and a second data set; clustering the data in the first data set, to obtain at least one first-level cluster center; clustering the data in the first data set based on the first-level cluster center, to obtain corresponding at least one second-level cluster center; obtaining a codebook corresponding to the first data set based on residuals between the data in the first data set and the first-level cluster center and residuals between the data in the first data set and the second-level cluster center; and training the second data set based on the codebook corresponding to the first data set, to obtain a codebook corresponding to the data set.

The present disclosure provides a method and apparatus for building a database for retrieval. An implementation of the method comprises: acquiring a data set, and dividing the data set into a first data set and a second data set; clustering the data in the first data set, to obtain at least one first-level cluster center; clustering the data in the first data set based on the first-level cluster center, to obtain corresponding at least one second-level cluster center; obtaining a codebook corresponding to the first data set based on residuals between the data in the first data set and the first-level cluster center and residuals between the data in the first data set and the second-level cluster center; and training the second data set based on the codebook corresponding to the first data set, to obtain a codebook corresponding to the data set.

An example method for mapping data can include: generating a user interface configured to enable a user to create a data element of a mapping specification, wherein the mapping specification includes a spreadsheet having a plurality of data fields; allowing for dragging of the data element onto the user interface and multi-selection of the data element with other data elements; allowing for dropping of the data element into a desired location of the user interface and the multi-selection of the data element; storing the data element in a temporary schema independent from a database schema of the data warehouse; and enabling the user to associate the data element with one or more physical data elements in the database schema.

A claim editing engine for automated integration and error resolution of claim records is provided. The processor of the engine is configured to extract a set of claim components of a plurality of claim components. The processor is further configured to transform the set of claim components to conform to a standardized data format. The processor is also configured to integrate the set of transformed claim components into a set of unified claims by unifying each of the set of transformed claim components having matching claim identifiers into a unified claim. The processor is configured to apply a rule set to the set of unified claims to generate a simulation of execution of the set of claims and identify errors in the simulated execution. The processor is configured to transmit an instruction to resolve each identified error. The processor is configured to cause each resolved unified claim to be processed.

Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.

Object service receives communication of fingerprints stream, corresponding to file segments, from file source, and identifies sequential fingerprints in fingerprints stream as fingerprints group. Object service identifies group identifier for fingerprints group, and communicates fingerprints group to deduplication service associated with group identifier range including group identifier. Deduplication service identifies fingerprints in fingerprints group which are missing from fingerprint storage, and communicates identified fingerprints to object service, which communicates request for file segments, corresponding to identified fingerprints, to file source. Deduplication service receives communication of requested segments from file source, and stores requested segments. System identifies generation identifier associated with time of communicating by object service or deduplication service and identifies generation identifier associated with another time of communicating by object service or deduplication service. If generation identifier associated with time differs from generation identifier associated with other time, object service or deduplication service restarts communication.