Abstract: A system and computer-implemented method for predicting a search term of a search are disclosed. The method includes building, by a server, a search prediction dictionary database, the search prediction dictionary database including a plurality of search terms and a plurality of prediction scores corresponding to the plurality of search terms; receiving, by the server, one or more characters from a user device over a network, the one or more characters corresponding to the search; identifying, by the server, one or more predicted search terms based on the one or more characters, the identifying including determining one or more of the plurality of search terms including the one or more characters; and providing, by the server, a search term prediction list including the one or more predicted search terms to the user device for display on a display device of the user device.

Abstract: Embodiments of the present invention are directed toward systems, methods, and computer storage media for using a neural network language model to identify semantic relationships between file storage specifications for replication requests. By treating file storage specifications (or at least a portion thereof) as “words” in the language model, replication vectors can be determined based on the file storage specifications. Instead of determining the relationship of the file storage specifications based on ordering within a document, the relationship can be based on proximity of the replication requests in a replication session. When a replication request is received from a user, the replication vectors can be used to determine a semantic similarity between the received replication request and one or more additional replication requests.

Abstract: A method includes detecting a storage device and performing a check-in process for the storage device. The check-in process includes scanning the storage device to identify any malware contained on the storage device, digitally signing one or more clean files on the storage device, and modifying a file system of the storage device. The method may also include performing a check-out process for the storage device, where the check-out process includes restoring the file system of the storage device. The file system of the storage device can be modified during the check-in process so that one or more protected nodes within a protected system are able to recognize the modified file system of the storage device and nodes outside of the protected system cannot recognize the modified file system of the storage device.

Abstract: A method, system and computer program product for determining a data standardization score for an attribute of a dataset. A data standardization score is calculated, which reflects whether data quality of attribute values would increase if a standardization rule is applied to the attribute values. Based on attribute metadata, it may be determined whether an indication to carry or not to carry out standardization is available for at least part of the attribute values of the dataset. In response to finding the indication, a respective value may be set for the data standardization score. In response to not finding the indication, a data standardization score algorithm may be run on the at least part of the attribute values of the dataset. The data standardization score value may be compared to a predefined criterion to determine whether data standardization is to be applied on the attribute.

Abstract: A method, system and computer program product for determining a data standardization score for an attribute of a dataset. A data standardization score is calculated, which reflects whether data quality of attribute values would increase if a standardization rule is applied to the attribute values. Based on attribute metadata, it may be determined whether an indication to carry or not to carry out standardization is available for at least part of the attribute values of the dataset. In response to finding the indication, a respective value may be set for the data standardization score. In response to not finding the indication, a data standardization score algorithm may be run on the at least part of the attribute values of the dataset. The data standardization score value may be compared to a predefined criterion to determine whether data standardization is to be applied on the attribute.

Abstract: An industrial data indexing system facilitates discovery and indexing of plant-wide data residing on multiple different data platforms. The indexing system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system also caches selected portions of the data model to a user's personal device to allow these portion of the model to be accessed locally on the user's device without being online with the higher level indexing system.

Abstract: An identifier of a data source specifying data to be analyzed is determined from a data analysis schema. The data source is called, and data to be analyzed is retrieved. From the data analysis schema, an identifier of a check method to be used to analyze the data is determined. The check method is called and used to analyze the data.

Abstract: A computer implemented method for initializing a first image of a first database from a recovery image; modifying the first image of the first database by replaying transaction logs of a second database; establishing a connection with a client; receiving a query via the connection, the query including a transaction to be executed on the first database; and rejecting the query when the transaction would cause any one of: updating of the first image of the first database; generating a new transaction log; and modifying the recovery image. Related apparatus, systems, techniques and articles are also described.