Abstract: Systems and methods for ingesting and enhancing data in a distributed processing framework. The system includes at least a data ingestion system configured to access data or datasets from one or more data sources. The data is accessed via the data ingestion system and includes metadata defining a plurality of attributes. The attributes are identified in the metadata, via the data ingestion system, and may be applied to the data or dataset for enhancing the data or dataset. Application of the attributes to the data results in enhancements that may include joining the data, enriching the data, or other enhancements accomplished via manipulation of the data via the data ingestion system.

Abstract: The invention relates to a computer-implemented system and method for scalable, customized general ledger processing. The method may include the step of receiving a client request for customized charts of accounts (COAs) according to a specified time frame. The customized COAs may include client-specific data and third party reference data. The method may involve automatically receiving source information, including position data and transaction data, from a number of sources. The system may include a distributed computer architecture such as Hadoop for parallel storage and processing of the source information across a plurality of nodes. The system can generate debit and credit postings from the source information, roll up the postings into the plurality of customized COAs, and deliver them to the client according to the client's preferred schedule, including in real time or near real time.

Abstract: The invention relates to a computer-implemented system and method for scalable, customized general ledger processing. The method may include the step of receiving a client request for customized charts of accounts (COAs) according to a specified time frame. The customized COAs may include client-specific data and third party reference data. The method may involve automatically receiving source information, including position data and transaction data, from a number of sources. The system may include a distributed computer architecture such as Hadoop for parallel storage and processing of the source information across a plurality of nodes. The system can generate debit and credit postings from the source information, roll up the postings into the plurality of customized COAs, and deliver them to the client according to the client's preferred schedule, including in real time or near real time.

Abstract: Systems and methods for ingesting and enhancing data in a distributed processing framework. The system includes at least a data ingestion system configured to access data or datasets from one or more data sources. The data is accessed via the data ingestion system and includes metadata defining a plurality of attributes. The attributes are identified in the metadata, via the data ingestion system, and may be applied to the data or dataset for enhancing the data or dataset. Application of the attributes to the data results in enhancements that may include joining the data, enriching the data, or other enhancements accomplished via manipulation of the data via the data ingestion system.

Abstract: The invention relates to a computer-implemented system and method for scalable, customized general ledger processing. The method may include the step of receiving a client request for customized charts of accounts (COAs) according to a specified time frame. The customized COAs may include client-specific data and third party reference data. The method may involve automatically receiving source information, including position data and transaction data, from a number of sources. The system may include a distributed computer architecture such as Hadoop for parallel storage and processing of the source information across a plurality of nodes. The system can generate debit and credit postings from the source information, roll up the postings into the plurality of customized COAs, and deliver them to the client according to the client's preferred schedule, including in real time or near real time.