A method and system for identifying garbage data, an electronic device, and a storage medium. The method includes: uploading an object to a distributed object storage system (S101); acquiring a head object identifier in an index storage pool of the distributed object storage system (S102); querying a data storage pool for a target data group corresponding to the head object identifier (S103); marking a tail object corresponding to a tail object identifier in the target data group as a target tail object (S104); and marking tail objects in the data storage pool other than the target tail object as garbage data (S105). The method can identify garbage data in a distributed object storage system.

A computer-implemented method for database management is provided. The method comprises: receiving, from a client device , first data to be stored in a database system that comprises first data storage configured to store a data table and a deletion history table; storing the first data in second data storage that is external to the database system and that is in communication with the database system via a network; obtaining a link that enables access, via the network, to the first data stored in the second data storage; storing the link in the data table; and performing a deletion operation of the first data, in response to a request from the client device to delete the first data from the database system, wherein the deletion operation comprises: deleting the link from the data table without deleting the first data from the second data storage; and storing the link in the deletion history table with a timestamp corresponding to a point in time when the link is deleted from the data table.

A system and method to index one or more sensor-based datasets utilizing pattern recognition and prediction to identify instances and regions of novelty and change as a means of highlighting potential subjective interest for the purposes of optimizing the manual and automated search, visualization, and extraction of datasets.

Aspects of the disclosure relate to a data wrapper engine. A computing platform may receive a query comprising a request for data stored as a CLOB. The computing platform may obtain, from a data storage system, the data stored as a CLOB. The computing platform may generate a file wrapper for the data, wherein generating the file wrapper comprises converting the CLOB to a VARCHAR object and storing the VARCHAR object in the file wrapper. The computing platform may generate, using the VARCHAR object stored in the file wrapper, a SQL response to the query. The computing platform may execute the dynamic SQL response to generate a response to the query. The computing platform may send, to a user device, the response to the query and commands directing the user device to display the response to the query, which may cause the user device to display the response.

A method and system for capturing dynamic data from data fields of a product has been developed. The method includes first collecting a product data set with multiple data fields. Static data fields of the product data set are identified that contain pre-defined standardized data for multiple other data sets. Next, dynamic data fields of the data set are identified. A dynamic data field is created by a user and contains additional data that is unique and applicable only to the product data set. The static data fields and the dynamic data fields are stored separately in a database repository for later recovery.

Apparatus and method are provided for tying together an URL request to a function in the database which returns media data. The invention provides for apparatus that receives a URL request for BLOB data from a web client and receives dynamic values specific to the web client from the web client. The URL is parsed to determine the function in a database and, if they exist, any parameters. A call is made to the function in the database specified in the URL and, if they exist, with parameters specified in the URL and with the dynamic values from the web client. The result can be streamed to the user.

Examples may include storage of a small object representation in a deduplication system. Examples may store the small object representation of an object in the deduplication system based on a determination that the object is smaller than a threshold size. In examples, the small object representation may include a direct reference from a top-level data structure to small object metadata in a bottom-level data structure of the small object representation.

A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.

The present disclosure involves systems, software, and computer implemented methods for providing default values for fields of data objects in an offline mode. One example method includes receiving, at a client device, a default group mapping that includes a default group identifier and a default value to be used as an initial value for a field. A field mapping can be received that includes a default group identifier and a field identifier. A request can be received while the client device is offline to create an instance of an object. A determination can be made that the field mapping includes a field identifier for a field of the object. A default value can be retrieved, from a local repository on the client device. A field value of the field in a created instance of the data object can be set to be the default value.

A processor-based method for locating data and metadata closely together in a storage system is provided. The method includes writing a first range of a file and a first metadata relating to attributes of the file into at least one segment controlled by a first authority of the file. The method includes delegating, by the first authority, a second authority for a second range of the file, and writing the second range of the file and second metadata relating to the attributes of the file into at least one segment controlled by the second authority.