Abstract: A system, a method and a computer readable medium for storing data elements and related data provenance information. The data elements may be represented in a hyper-table having rows and columns which may be indexed. The data-values of the corresponding data-elements in the hyper-cells may be retrieved based on the indices. Snapshots of the indices may be generated at pre-determined time periods. Checkpoints of the hyper-table may be generated at time periods that are based on transactions on the hyper-table. The hyper-table is capable of being queried as the hyper-table existed at certain time-periods, and data-values of the data-elements may be retrieved as the data-elements existed at such time-periods.

Abstract: A system, method and computer readable medium for indexing streaming data. Data may be received from distributed devices connected via a network. Data elements may be stored and allocated to data blocks and events of the block stores. Non-text data may be converted into a text representation. The data may be split into terms, and term frequencies of each term within each of the event may be calculated. Block-level term frequency statics may be calculated based on the term frequencies. Tree index structures, such as the Y-tree index, may be generated based on the block-level term frequency data. The Y-tree index structures may use the terms as keys and pointers to the corresponding data blocks and block-level term frequency data. A search query may be performed over the tree index structures.

Abstract: A system, method and computer readable medium for indexing streaming data. Data may be received from distributed devices connected via a network. Data elements may be stored and allocated to data blocks and events of the block stores. Non-text data may be converted into a text representation. The data may be split into terms, and term frequencies of each term within each of the event may be calculated. Block-level term frequency statics may be calculated based on the term frequencies. Tree index structures, such as the Y-tree index, may be generated based on the block-level term frequency data. The Y-tree index structures may use the terms as keys and pointers to the corresponding data blocks and block-level term frequency data. A search query may be performed over the tree index structures.

Abstract: Systems and methods for storing and retrieving data elements transmitted via data streams received from distributed devices connected via a network. The received data elements may be stored in block stores on the distributed devices. The stored data-elements may be allocated to data-blocks of a block-store that have assigned block-identifiers and further allocated to events of the data-blocks that have assigned token-names. Stream-schema of the received data-streams may comprise a list of token-names and an index-definition for each corresponding data-stream. Indices may be generated for the event-allocated data-elements. A query may be executed in order to retrieve data-elements of the received data-streams based on the indices.

Abstract: Systems and methods for storing and retrieving data elements transmitted via data streams received from distributed devices connected via a network. The received data elements may be stored in block stores on the distributed devices. The stored data-elements may be allocated to data-blocks of a block-store that have assigned block-identifiers and further allocated to events of the data-blocks that have assigned token-names. Stream-schema of the received data-streams may comprise a list of token-names and an index-definition for each corresponding data-stream. Indices may be generated for the event-allocated data-elements. A query may be executed in order to retrieve data-elements of the received data-streams based on the indices.

Abstract: Systems, methods and computer readable medium for storing data elements transmitted via data streams received from distributed devices connected via a network. The received data elements may be stored in block stores on the distributed devices. The stored data elements may be allocated to data blocks of a block store that have assigned block identifiers and further allocated to events of the data blocks. Stream schema of the received plurality of data streams may have the same stream schema, and indices may be generated indices based on the order of the event allocated data elements. Stream schema of the received data streams may comprise a list of token names. Token names may be assigned to the event allocated data elements. Indices may be generated for the event allocated data elements based on the stream schema.

Abstract: Systems and methods for storing and retrieving data elements transmitted via data streams received from distributed devices connected via a network. The received data elements may be stored in block stores on the distributed devices. The stored data-elements may be allocated to data-blocks of a block-store that have assigned block-identifiers and further allocated to events of the data-blocks that have assigned token-names. Stream-schema of the received data-streams may comprise a list of token-names and an index-definition for each corresponding data-stream. Indices may be generated for the event-allocated data-elements. A query may be executed in order to retrieve data-elements of the received data-streams based on the indices.

Abstract: A system, method and computer readable medium for indexing streaming data. Data may be received from distributed devices connected via a network. Data elements may be stored and allocated to data blocks and events of the block stores. Non-text data may be converted into a text representation. The data may be split into terms, and term frequencies of each term within each of the event may be calculated. Block-level term frequency statics may be calculated based on the term frequencies. Tree index structures, such as the Y-tree index, may be generated based on the block-level term frequency data. The Y-tree index structures may use the terms as keys and pointers to the corresponding data blocks and block-level term frequency data. A search query may be performed over the tree index structures.

Abstract: Systems, methods and computer readable medium for storing data elements transmitted via data streams received from distributed devices connected via a network. The received data elements may be stored in block stores on the distributed devices. The stored data elements may be allocated to data blocks of a block store that have assigned block identifiers and further allocated to events of the data blocks. Stream schema of the received plurality of data streams may have the same stream schema, and indices may be generated indices based on the order of the event allocated data elements. Stream schema of the received data streams may comprise a list of token names. Token names may be assigned to the event allocated data elements. Indices may be generated for the event allocated data elements based on the stream schema.

Abstract: Systems and methods for storing and retrieving data elements transmitted via data streams received from distributed devices connected via a network. The received data elements may be stored in block stores on the distributed devices. The stored data-elements may be allocated to data-blocks of a block-store that have assigned block-identifiers and further allocated to events of the data-blocks that have assigned token-names. Stream-schema of the received data-streams may comprise a list of token-names and an index-definition for each corresponding data-stream. Indices may be generated for the event-allocated data-elements. A query may be executed in order to retrieve data-elements of the received data-streams based on the indices.