Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Abstract: A text-based interactive interpreter and user interface that sequentially allows a user to modify, transform, or filter data sets from a database system. Execution of user generated instructions results in output that can be rendered as a table, map, JSON, or other view. A user can easily retrieve a data set from a resource identifier for the data set. Instructions and results are presented in a sequential manner down the user interface page. Instructions can refer to variables and output data from previous blocks in the user interface page. The interpreted user-generated textual instruction areas can retrieve a data set specified in the textual blocks, parse and execute the textual instructions to transform, filter, or manipulate the data set. The resulting data set is rendered according to the data type, default settings, or preconfigured preferences into a table, map, JSON, or other view.

Abstract: The techniques disclosed herein enable improved security as well as more scalable and reliable job execution by utilizing granular security boundaries and certificate-based authentication for all communication within cloud-based platforms. To manage a cloud-based platform, a system receives a plurality of jobs and associated certificates at a first security boundary that are to be executed at various resource units within a second security boundary. The system then authenticates each certificate before transmitting each job to its respective resource unit for execution. In addition, the system is further configured to monitor active certificates for compromise and accordingly isolate various security boundaries in the event of a security breach. By isolating portions of the cloud-based platform within security boundaries, the system can mitigate the impact of security breaches. Furthermore, certificate-based authentication addresses performance constraints to enable more efficient and scalable job execution.

Abstract: A method of and system for selecting users for a rollout process of a feature is carried out by receiving an indication of the rollout process for the feature being rolled out, accessing a rollout plan, the rollout plan including a plurality of stages for the rollout process, and selecting users from a user population for each of the plurality of stages of the rollout process. Selecting the users from a user population includes examining a property to determine if a user in the user population is indicated as opted into being a late-stage receiver, and upon determining that the user is opted into being the late-stage receiver, excluding the user from the user population for one or more early stages of the rollout and including the user into the user population in one or more late stages of the rollout process.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: A method of and system for selecting users for a rollout process of a feature is carried out by receiving an indication of the rollout process for the feature being rolled out, accessing a rollout plan, the rollout plan including a plurality of stages for the rollout process, and selecting users from a user population for each of the plurality of stages of the rollout process. Selecting the users from a user population includes examining a property to determine if a user in the user population is indicated as opted into being a late-stage receiver, and upon determining that the user is opted into being the late-stage receiver, excluding the user from the user population for one or more early stages of the rollout and including the user into the user population in one or more late stages of the rollout process.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: A text-based interactive interpreter and user interface that sequentially allows a user to modify, transform, or filter data sets from a database system. Execution of user generated instructions results in output that can be rendered as a table, map, JSON, or other view. A user can easily retrieve a data set from a resource identifier for the data set. Instructions and results are presented in a sequential manner down the user interface page. Instructions can refer to variables and output data from previous blocks in the user interface page. The interpreted user-generated textual instruction areas can retrieve a data set specified in the textual blocks, parse and execute the textual instructions to transform, filter, or manipulate the data set. The resulting data set is rendered according to the data type, default settings, or preconfigured preferences into a table, map, JSON, or other view.

Abstract: A text-based interactive interpreter and user interface that sequentially allows a user to modify, transform, or filter data sets from a database system. Execution of user generated instructions results in output that can be rendered as a table, map, JSON, or other view. A user can easily retrieve a data set from a resource identifier for the data set. Instructions and results are presented in a sequential manner down the user interface page. Instructions can refer to variables and output data from previous blocks in the user interface page. The interpreted user-generated textual instruction areas can retrieve a data set specified in the textual blocks, parse and execute the textual instructions to transform, filter, or manipulate the data set. The resulting data set is rendered according to the data type, default settings, or preconfigured preferences into a table, map, JSON, or other view.

Abstract: An on-board injector for delivering discharge air toward a turbine rotor of a gas turbine engine. The on-board injector having: a first wall; a second wall spaced from said first wall to define an annular inlet and an annular exit, wherein the first wall has a first length and the second wall has a second length; and a plurality of airfoils extending between the first wall and the second wall to segregate discharge air from the annular inlet, wherein each of the plurality of airfoils extend from the annular inlet and the annular exit and completely across the first length and the second length.

Abstract: A system to reduce strain on server farm computing resources by over-riding “off-peak” patching schedules in response to performance failures occurring on a server farm. Embodiments disclosed herein determine a patching schedule for causing builds of patches to be sequentially installed on server farms during an off-peak usage time-range. Responsive to a performance failure occurring on the server farm, embodiments disclosed herein identify a particular patch that is designed to resolve the performance failure. Then, the patching schedule is over-ridden to expedite an out-of-sequence installation of whichever build is first to include the particular patch. Because resolution of the performance failure is expedited, the impact of the performance failure on the computing resources of the server farm is reduced as compared to existing server farm patching systems.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, source electronic data files are received at a data importation system and managed by the data importation system. The data importation system may load detector/transformer plugins and determined whether any of the load detector/transformer plugins apply to the received source electronic data files. The data importation system may also generate transformed data using a transformer corresponding to a detector that applies to the source electronic data files. The data importation system may import the transformed data into at least one of a data analysis system and a database.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.