Devices, methods, and systems for encoding data as DNA are provided. An encoder device can include circuitry to encode a data file having a bit sequence encoding data and to generate a virtual DNA (VDNA) sequence of virtual nucleotide bases (Vnb) that reversibly encodes the bit sequence of the data file, divide the VDNA sequence into a plurality of VDNA fragments, associate each VDNA fragment with an archive library sequence (Arc_SEQ), and generate a read instruction (READ) sequence of differences between each VDNA fragment and each associated Arc_SEQ including sufficient instruction to facilitate regeneration of each VDNA fragment from each associated Arc_SEQ. A codeword sequence (Code_SEQ) is additionally generated for each VDNA fragment that includes a codename identifying the associated Arc_SEQ, the READ sequence associated with the VDNA fragment, and an index sequence (Idx_SEQ) including an index mapping of the VDNA fragment in the VDNA sequence.

Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Described systems and techniques enable the intake of large numbers of files having widely varying structures and formats, as well as generation of dynamic slot indexes that enable fast and reliable searching of the files. Unique data patterns within the files are used to generate unique pattern models, which enable model-specific mappings of file fields to slots of a dynamic slot index. Accordingly, the dynamic slot indexes may reuse a single slot for multiple fields. Complex queries may then be processed in a time-efficient and resource-efficient manner, even when rapidly ingesting huge numbers of files having indeterminate data patterns from many different sources.

The present technology pertains to responding to a kernel level file event for a content item and presenting a file event window associated with the content item. A client device can detect the kernel level file event for the content item. This can be accomplished using a kernel extension on a client device that is networked with a content management system. The client device can then retrieve data associated with the content item, including an instruction for the content item. The client device can then perform the instruction. This instruction can be to retrieve collaboration data from the content management system and present the collaboration data in a file event window.

Documents, such as those that may or will be the subject of a litigation, may be managed by automatically determining that a document, such as an email or other communication, is privileged or producible such that superfluous documents may be removed to improve data storage and reduce the burden on storage, processing, and communication resources. Additionally, documents such as emails may comprise attached or embedded documents (e.g., attachments) which may be similarly or independently classified from their associated email. After determining privilege, such as via metadata associated with a sender/receiver of an email, similarly categorized documents may be grouped for presentation and/or storage. The documents may be indexed, such as by entries within a production log, to further facilitate accurate production and management of non-privileged documents, as well as, the exclusion of privileged documents. Documents not required for production may be indexed and/or purged from storage.

A machine station file processing method includes: monitoring operation of a file system of a machine station server and acquiring a transaction file generated by the operation, the transaction file comprising transaction data; converting a format of the transaction data according to preset warehousing rules to generate model-layer data; and sending, to a data warehouse server, the model-layer data and a data analysis request, the data analysis request is used to instruct the data warehouse server to acquire application-layer data according to the model-layer data.

A file management system may include a file server that performs calculations of a spreadsheet file instance to generate a dataset that includes values in the spreadsheet file instance. The file management system also may include an application operating at a client device that is in communication with the file server via a network. The application may receive, via the network, a version of the dataset comprising the values generated by the calculations performed by the server. The application may visualize a spreadsheet at the user interface. The visualized spreadsheet may display at least a subset of the values. In one case, protected contents of one or more cells in the spreadsheet may be converted to other values when displayed at the user interface.

Techniques and solutions are provided for integrating master data from multiple applications. Master data from multiple applications can be integrated for use in processing data associated with internet of things (IOT) devices, such as by joining master data with timeseries data (including aggregated values). Integrating master data from multiple applications can include converting master data from a schema used by an application into an analytics schema. New or updated master data can be indicated in a message sent by an application. In processing the message, additional master data, or data used to determine how master data should be processed, can be retrieved.

A method, system, and computer program product for intelligent file conversion is provided. The method receives a first workflow in a first tool format. The first workflow contains a set of first elements associated with a set of tasks. The set of first elements in the first tool format are mapped to a set of second elements in a second tool format. The method generates a second workflow in the second tool format based on the set of second elements. The second workflow is validated based on a file definition schema for the second tool format and the second workflow is routed to an execution server.

Control and access of digital files for three dimensional (3D) model printing are supported by an authorized 3D model marketplace. At a system providing the 3D model marketplace, a 3D model file catalog can be searched using a search input that may be at least one image to identify possible results. At least two options for a specific result of the possible results can be available. The at least two options can include an original quality 3D model file and a degrade option 3D model file. The degrade option 3D model file may represent a lower quality or altered version of the original quality 3D model file and can be generated from the original quality 3D model file upon selection of the degrade mode option.