A data management device is communicably connected to a first database and a second database in a different structure from the first database. The second database is converted to the structure of the first database, and is stored as a conversion table based on first data schema information defining the structure of the first database and second data schema information defining the structure of the second database. For which database a query that is received from the outside and described corresponding to the structure of the first database is a query is determined with reference to the conversion table. When the query is determined to be a query for the second database, the query is converted and is introduced into the second database, and a query result in response to the query is converted into a format corresponding to the structure of the first database and output.

Methods and systems are provided for enhanced data loss prevention. Data loss prevention may be applied to data that includes a plurality of records and a plurality of categories, with each record including a plurality of fields and each field corresponding to a different one of the categories. Applying of data loss prevention may include selecting a subset of records from the plurality of records; scanning fields of the selected subset of records for sensitive information; computing based on a result of the scanning, for each category, a likelihood the category contains the sensitive information; selecting a subset of categories based on the computed likelihoods of the categories to contain the sensitive information; searching the sensitive information in the selected subset of categories; and in response to detection of sensitive information in at least one of the subset of records, taking one or more data loss prevention related actions.

Information may be presented to a user by using a first application to receive a character stream of one or more noncompletion characters. The noncompletion characters indicate that additional characters may be received. The character stream is exchanged with a host that analyzes the character stream to generate results that are responsive to the user's predicted interest. Results are received and displayed so that the user may select one of the results to launch a code segment related to the selected result.

Personalized messages are generated from a message template with high throughput by transforming data sources of the message template to key-value data structures that are stored in-memory and performing data look-ups using the in-memory key-value data structures.

Embodiments of the present application relate to an information providing method, system and a computer program product. An information providing method is provided. The method includes receiving an information search request including a search condition, forwarding the information search request to a plurality of processing servers to search for information relating to the search condition, determining a merge attribute based on the found information relating to the search condition, the merge attribute having related attribute values, merging the found information based on the determined merge attribute of the found information to obtain search results, and providing the received search results to a user.

Described are methods, systems and computer readable media for GUI control elements and associated processing methods.

A system and method are provided for enforcing user policies on database. In one aspect a user policy and/or enterprise policy is predefined and mapped to the column of the database. Further, the query is run through a query parsing module, the result is sent to a query analyzing module to analyze the sensitivity of each query. A query rewriting module rewrites the query and the rewritten query is sent to the database. A sensitive tree is generated using database metadata, which is used during query analysis and query re-writing. In cases the original query does not contain any set operators the rewritten query is executed on the database and results are displayed as per the user policy. The cases where the original query comprises set operators a function called merger is implemented in the database or at the proxy server and data is displayed as per the user policy.

In one embodiment, one or more computing systems may receive an indication of a first location of a first mobile-client system of a first user associated with an online social network. The one or more computing systems may identify one or more second users from among a plurality of users associated with the online social network based on one or more notification rules. Each identified second user may be associated with a second mobile-client system having a second location within a threshold distance of the first location and may be within a threshold degree of separation of the first user on the online social network. The one or more computing systems may send a first notification to the first mobile-client system of the first user. The first notification may reference one or more of the identified second users.

Data storage system conflict management techniques are described. In one example, data is sent by client devices to both a repository system and a search index system of a data storage system. Each of the client devices maintains, locally, records of changes to data of the repository system, e.g., through use of an invertible Bloom lookup table. The records are used as a basis by the client devices to send reports to an arbiter system and used to detect conflicts When detected, a conflict request is communicated to client devices involved in the conflict as well as to the repository system and responses used to generate a correction that is communicated to update the repository system and search index system.

A global and local row count limit associated with a limit query are received by a stop operator of a first execution node among a set of execution nodes that are assigned to process the limit query. Local distributed row count data is generated based on a local row count corresponding to a number of rows output by the first execution node in processing the query. Based on determining the local row count satisfies the local limit, the first execution node buffers rows produced in processing the query. The local distributed row count data is updated based on remote distributed row count data received from a second execution node. A stopping condition is detected based on determining the global limit is satisfied based on updated local distributed row count data and query processing by the first execution node based on detecting the stopping condition.