Molecula Corp.

Umbel Corporation

Pilosa Corp.

U-mvpindex LLC

Circuit, Inc.

Travis Turner

Higinio Oliver Maycotte

Todd Wesley Gruben

Cody Stephen Soyland

Ben Johnson

Matthew Isaac Jaffee

Troy Lanier

Sarah Kathryn King

Charles B Martin

Kevin Troy Safford

Ryan Edward Ebanks

Michael Baird

Rishi Shah

Peter Seebach

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 performing a join operation with bitmap indexes of virtual data sources (VDSs). A distributed compute cluster having a set of compute nodes may maintain a plurality of VDSs based on a set of corresponding origins. A given VDS of the plurality of VDSs may include a bitmap index representative of a portion of data stored at the set of origins. The distributed compute cluster may receive a request for data stored across at least first and second bitmap indexes of the plurality of VDSs. The distributed compute cluster may perform a join operation to generate a join result having data from the first and second bitmap indexes. The distributed compute cluster may return a response that includes the join result.

Join queries in data virtualization-based architecture

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 VDS creation request to create a particular VDS. The VDS creation request may include information that is usable to identify a data origin of the particular VDS and an ingestion routine. The VDSM may use the ingestion routine to create the particular VDS that includes a bitmap index that is representative of data stored at the origin. In response to a data request corresponding to the origin, the particular VDS may be used to initiate a query to the particular VDS for data without accessing the origin. The VDSM may further maintain various software plugins that are executable to perform corresponding functions in relation to the VDSM and the VDSs managed by the VDSM.

Virtual data sources of data virtualization-based architecture

Virtual data source manager of data virtualization-based architecture

A method includes receiving an access request at a first computing device from a second computing device, the access request specifying a data structure, the data structure including first data stored in a first portion of the data structure and second data stored in a second portion of the data structure. The method also includes extracting a first key from the access request and identifying a data rights definition that is associated with the data structure and that is associated with a second key, the data rights definition indicating that the first data but not the second data is shared with an entity associated with the second computing device. The method further includes comparing the first key to the second key, and, based on the comparison, determining whether to grant the second computing device access to the first data but not the second data.

Systems and methods of managing data rights and selective data sharing

Software plugins of data virtualization-based architecture

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

A method includes receiving an input identifying a target audience segment (e.g., reflecting a behavior, perspective, or opinion an advertiser would like to influence/increase). The method further includes identifying a first attribute measured by a measurement system, where the first attribute is determined to correlate to users tracked by the measurement system and that belong to the target audience segment, which reflects the behavior that the advertiser wants to influence/increase. The method further includes identifying a second attribute that corresponds to the first attribute, where a messaging action directed to the first attribute, the second attribute, or a combination thereof is available at one or more digital networks. The digital networks may require payment for message delivery or may allow such messaging for free. The method further includes initiating the messaging action aimed at driving behavior directed to the first attribute, the second attribute, or a combination thereof.

Driving behaviors, opinions, and perspectives based on consumer data

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.

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Austin, TX, United States of America

Travis Turner