Abstract: A method comprising receiving, from a first enterprise system, a series of first language commands written in a first language to control a first data flow of first data, the first data being from a first and a second data source, the first series of first language commands indicating first functions to be performed including collection of first data, storage of the first data into a first data warehouse, and application of one or more first applications on the stored first data, the first and second data sources being unrelated to each other and being remote from the first enterprise system and the data warehouse, translating the series of first language commands into first translated commands that may be provided to the first and second data sources as well as the first data warehouse to control the first data flow.

Abstract: Generating, by a cloud-based system, a plurality of data infrastructure slices, each of the plurality of data infrastructure slices including a respective service; storing, by the cloud-based system, the plurality of data infrastructure slices; selecting, by the cloud-based server, at least two data infrastructure slices of the plurality of stored data infrastructure slices; generating, by the cloud-based system in response to the selection of the at least two data infrastructure slices of the plurality of data infrastructure slices, a data infrastructure stack comprising the selected stored data infrastructure slices, the data infrastructure stack capable of being executed in different third-party entity accounts of an on-demand cloud-computing platform; and deploying, by the cloud-based system, the data infrastructure stack in a particular third-party entity account of the on-demand cloud-computing platform.

Abstract: A method comprising receiving, from a first enterprise system, a series of first language commands written in a first language to control a first data flow of first data, the first data being from a first and a second data source, the first series of first language commands indicating first functions to be performed including collection of first data, storage of the first data into a first data warehouse, and application of one or more first applications on the stored first data, the first and second data sources being unrelated to each other and being remote from the first enterprise system and the data warehouse, translating the series of first language commands into first translated commands that may be provided to the first and second data sources as well as the first data warehouse to control the first data flow.

Abstract: A method comprising receiving, from a first enterprise system, a series of first language commands written in a first language to control a first data flow of first data, the first data being from a first and a second data source, the first series of first language commands indicating first functions to be performed including collection of first data, storage of the first data into a first data warehouse, and application of one or more first applications on the stored first data, the first and second data sources being unrelated to each other and being remote from the first enterprise system and the data warehouse, translating the series of first language commands into first translated commands that may be provided to the first and second data sources as well as the first data warehouse to control the first data flow.

Abstract: A method comprising receiving, from a first enterprise system, a series of first language commands written in a first language to control a first data flow of first data, the first data being from a first and a second data source, the first series of first language commands indicating first functions to be performed including collection of first data, storage of the first data into a first data warehouse, and application of one or more first applications on the stored first data, the first and second data sources being unrelated to each other and being remote from the first enterprise system and the data warehouse, translating the series of first language commands into first translated commands that may be provided to the first and second data sources as well as the first data warehouse to control the first data flow.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Generating, by a cloud-based system, a plurality of data infrastructure slices, each of the plurality of data infrastructure slices including a respective service; storing, by the cloud-based system, the plurality of data infrastructure slices; selecting, by the cloud-based server, at least two data infrastructure slices of the plurality of stored data infrastructure slices; generating, by the cloud-based system in response to the selection of the at least two data infrastructure slices of the plurality of data infrastructure slices, a data infrastructure stack comprising the selected stored data infrastructure slices, the data infrastructure stack capable of being executed in different third-party entity accounts of an on-demand cloud-computing platform; and deploying, by the cloud-based system, the data infrastructure stack in a particular third-party entity account of the on-demand cloud-computing platform.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: Techniques for a system capable of performing low-latency database query processing are disclosed herein. The system includes a gateway server and a plurality of worker nodes. The gateway server is configured to divide a database query, for a database containing data stored in a distributed storage cluster having a plurality of data nodes, into a plurality of partial queries and construct a query result based on a plurality of intermediate results. Each worker node of the plurality of worker nodes is configured to process a respective partial query of the plurality of partial queries by scanning data related to the respective partial query that stored on at least one data node of the distributed storage cluster and generate an intermediate result of the plurality of intermediate results that is stored in a memory of that worker node.

Abstract: A method and system are provided for using commodity databases for parallelized and scalable solutions in Internet advertising. In one example, the method includes receiving first-type data and second-type data from one or more web servers, partitioning the first-type data into a particular number of first-type partitions, partitioning the second-type data into second-type partitions, wherein there are a same number of second-type partitions as the particular number of first-type partitions, sorting each first-type event by a second-type timestamp, opening second-type event files and finding first-type event matches, generating annotated second-type data by annotating each second-type event file with data from matching first-type events, and optimizing an advertising model based on the annotated second-type data.

Abstract: A tool that allows internet advertisers to examine the popularity of various different keyphrases entered into a search engine over time is presented. The tool then allows the advertiser to specify a changing set of keyphrases that will be monitored and used to trigger the selection of internet advertisements. In this manner, internet advertisers can take advantage of the different keyphrases used by search engine users that tend to change over time.