Abstract: A method and system are disclosed for adaptive lossless data compression using a predictive model that is updated deterministically in lockstep at both encoder and decoder. An encoder generates symbol probability distributions from a frozen base model with a small set of updatable parameters, encodes input blocks via entropy coding, and applies deterministic parameter updates using the observed data. A decoder entropy-decodes the compressed bitstream, reconstructs the same blocks, and applies identical updates, thereby maintaining synchronization without transmission of model parameters. Optional features include periodic beacons for state verification and resynchronization, error-control metadata, and modality-specific tokenization. In preferred embodiments, parameter adaptation is confined to adapter modules within a largely fixed neural network, ensuring computational efficiency and reproducibility across platforms.

Abstract: Methods are described herein related to extracting tabular data from a transmission server to a remote subscriber computer in a setting wherein the tabular data can only be transferred in a textual representation over an Internet connection, such as a web service, for example. An architecture based on parallel processing may speed up the extraction process by separating iteration from data processing and by introducing forward and reverse iterators for iterating a table from two ends simultaneously.

Abstract: A computer implemented method for processing information related to an extract-transform-load (ETL) data migration, may include extracting a full set of transactional data, master data and customizing data from a source system, separating said transactional data into history data and operational data, creating a copy of said source system without said transactional data, creating an instance of a target system by performing a combined system conversion and database migration on said copy of said source system, transforming said operational data in such a way that it becomes compatible with a data schema of a database for operational data on said target system, loading said transformed operational data into said database for operational data, loading said history data into a database for history data on an archive system, and loading a search help module in relation to a user query for transactional data on said target system.

Abstract: An apparatus, a method and a non-transitory computer readable medium are described herein related to generating views for archived business objects. The views display query results which are retrieved from a relational database for archived business data. The views are generated with a view generator which makes use of both a catalog, a standard business object and a business object parser which may detect differences in terms of field names and foreign-key relationships between a standard business object and a customer-enhanced business object. The combination of standard business objects with a business object parser enables the re-use of components from a standard library of business objects across various clients without resulting data loss, especially when there are client-specific deviations from the standard model of business objects.

Abstract: An apparatus, a method and a non-transitory computer readable medium are described herein related to extracting SAP archive data on a non-original system. In this way a user may extract business data from any ADK-format archive file in isolation, independent of the original system and without any accompanying metadata. A cloud-based on-demand distributed architecture with a plurality of virtualized SAP Netweaver Application Servers ABAP may speed up the extraction process from ADK-format files by an arbitrary order of magnitude.

Abstract: A computer implemented method for processing information related to an extract-transform-load (ETL) data migration, may include extracting a full set of transactional data, master data and customizing data from a source system, separating said transactional data into history data and operational data, creating a copy of said source system without said transactional data, creating an instance of a target system by performing a combined system conversion and database migration on said copy of said source system, transforming said operational data in such a way that it becomes compatible with a data schema of a database for operational data on said target system, loading said transformed operational data into said database for operational data, loading said history data into a database for history data on an archive system, and loading a search help module in relation to a user query for transactional data on said target system.

Abstract: An apparatus, a method and a non-transitory computer readable medium are described herein related to extracting SAP archive data on a non-original system. In this way a user may extract business data from any ADK-format archive file in isolation, independent of the original system and without any accompanying metadata. A cloud-based on-demand distributed architecture with a plurality of virtualized SAP Netweaver Application Servers ABAP may speed up the extraction process from ADK-format files by an arbitrary order of magnitude.

Abstract: An apparatus, a method and a non-transitory computer readable medium are described herein related to generating views for archived business objects. The views display query results which are retrieved from a relational database for archived business data. The views are generated with a view generator which makes use of both a catalog, a standard business object and a business object parser which may detect differences in terms of field names and foreign-key relationships between a standard business object and a customer-enhanced business object. The combination of standard business objects with a business object parser enables the re-use of components from a standard library of business objects across various clients without resulting data loss, especially when there are client-specific deviations from the standard model of business objects.