Umbel Corporation

Molecula Corp.

Pilosa Corp.

Circuit, Inc.

Todd Wesley Gruben

Travis Turner

Cody Stephen Soyland

Higinio Oliver Maycotte

Ben Johnson

Charles B Martin

Matthew Isaac Jaffee

Kevin Troy Safford

Ryan Edward Ebanks

Benjamin Johnson

Higinio O Maycotte

A method includes receiving a first signal and updating a bitmap index responsive to the first signal. The bitmap index includes a plurality of bit strings, where a value stored in a particular location in each of the bit strings indicates whether a corresponding signal associated with a signal source has been received. Updating the bitmap index responsive to the first signal includes updating a first bit of the bitmap index and updating first metadata values stored in the bitmap index, wherein the first metadata values comprise a plurality of sort index values indicating relative ranks of the first bit string relative to other bit strings. The method also includes outputting query results based on a query, wherein the query results identify one or more signals associated with one or more bit strings of the plurality of bit strings and one or more signal sources of a plurality of signal sources, and wherein the query results are sorted according to one of the first metadata values.

Bitmap index including internal metadata storage

Techniques are disclosed relating to managing virtual data sources (VDSs), including creating and using VDSs. A virtual data source manager (VDSM) that is executing on a computer system may receive a request to generate a bitmap index for a dataset. The VDSM may then generate a bitmap index by ingesting the dataset into a data format of the bitmap index. The VDSM may further generate the bitmap index by performing a compression procedure on the ingested dataset to generate a plurality of data containers, where a given data container includes a respective compressed portion of the ingested dataset. After compressing the ingested dataset, the VDSM may then store the plurality of data containers in a set of binary trees (b-trees), where the set of b-trees is usable to respond to data requests for data of the bitmap index.

Data storage using roaring binary-tree format

A method includes receiving, at a computing device comprising a processor, a request to determine bicliques in a graph, where the graph includes a first set of nodes, a second set of nodes, and a set of edges, each edge in the set of edges connecting a node in the first set of nodes to a node in the second set of nodes. The method also includes determining at least one biclique based on querying a bitmap index representing the graph, where the bitmap index includes a plurality of bit strings corresponding to the first set of nodes, and where a value stored in a particular location in each bit string indicates whether an edge connects a first node corresponding to the bit string to a second node corresponding to the particular location.

Systems and methods of using a bitmap index to determine bicliques

Systems and methods of generating and using a bitmap index are disclosed. The bitmap index stores bit strings. In a particular implementation, each bit string in the bitmap index corresponds to an attribute. Each location in each bit string corresponds to the same source. The bitmap index supports parallelized and distributed execution of queries with respect to data indexed by the bitmap index. For example, the described bitmap index can be used to index advertising data, healthcare data, financial data, etc.

Systems and methods of generating and using a bitmap index

A method includes receiving a first signal and updating a bitmap index responsive to the first signal. The bitmap index includes a plurality of bit strings, where a value stored in a particular location in each of the bit strings indicates whether a corresponding signal associated with a signal source has been received. Updating the bitmap index responsive to the first signal includes updating a first bit of the bitmap index and updating a first metadata value stored in the bitmap index. The method also includes receiving a second signal and updating the bitmap index responsive to the second signal. Updating the bitmap index responsive to the second signal includes updating a second bit of the bitmap index and updating a second metadata value stored in the bitmap index.

Systems and methods of generating and using a bitmap index are disclosed. The bitmap index stores bit strings. In a particular implementation, each bit string in the bitmap index corresponds to an attribute of an audience. Each location in each bit string corresponds to the same audience member. The bitmap index supports parallelized and distributed execution of queries with respect to data indexed by the bitmap index. For example, the described bitmap index can be used to index advertising data, healthcare data, financial data, etc.

A method includes receiving a query directed to a bitmap index. The bitmap index includes a plurality of bit strings, where a value stored in a particular location in each of the bit strings indicates whether a corresponding signal associated with a signal source has been received, and where the bitmap index includes at least a first metadata value associated with each of the bit strings, at least a second metadata value associated with each of a plurality of signal sources, or both. The method also includes generating a query execution plan for the query and generating query results based on the query execution plan. The query results identify at least one signal associated with at least one bit string of the plurality of bit strings, at least one signal source of the plurality of signal sources, and at least one of the first metadata value or the second metadata value.

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Cedar Park, TX, United States of America

Todd Wesley Gruben