Abstract: Methods, systems, and devices supporting dynamic process orchestration are described. An orchestration server may receive a request defining a data modification process from a user device. The orchestration server may generate an execution file based on the request, and the execution file may include a set of tasks for performing the data modification process and an order for performing the set of tasks. The orchestration server may execute, for the execution file, a first set of tasks according to the order for performing the set of tasks and, in some cases, may update the execution file based on executing the first subset of tasks. For example, updating the execution file may involve modifying a second subset of tasks of the set of tasks. The orchestration server may execute, for the updated execution file, the modified second subset of tasks according to the order for performing the set of tasks.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for executing a process flow represented by a graph or portion thereof using cached subgraphs. A first request to execute a first portion of a process flow is processed, where the first portion of the process flow is represented by a first subgraph of a graph representing the process flow and a final node of the first subgraph corresponds to a set of computer-readable instructions. The first portion of the process flow is executed such that a first output of executing the first portion of the process flow is obtained. The first subgraph is stored in association with the first output in a first cache entry of a cache. A second request to execute a second portion of the process flow is processed, where the second portion of the process flow is represented by a second subgraph of the graph.

Abstract: DESCRIBED HEREIN ARE SYSTEMS, APPARATUS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR IMPLEMENTING DESIGN TIME AND BATCH TIME FOR AN EXTRACT, TRANSFORM, LOAD (ETL) PROCESS. WHEN A SESSION IS ESTABLISHED, A KUBERNETES POD INSTANCE MAY BE EXCLUSIVELY ASSOCIATED WITH A USER FOR THE USER'S SESSIONS. DESIGN TIME AND BATCH TIME MAY BOTH BE PERFORMED WITHIN THE KUBERNETES POD INSTANCE. AS SUCH, A SERVICE PROVIDER MAY PROVIDE A SECURE DATAFLOW PREVIEW. FURTHERMORE, THE DATAFLOW MAY BE CACHED. CACHING OF THE DATAFLOW ALLOWS THE SERVICE PROVIDER TO MORE QUICKLY PROVIDE FOLLOW UP PREVIEWS, DECREASING LATENCY.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for executing a process flow represented by a graph or portion thereof using cached subgraphs. A first request to execute a first portion of a process flow is processed, where the first portion of the process flow is represented by a first subgraph of a graph representing the process flow and a final node of the first subgraph corresponds to a set of computer-readable instructions. The first portion of the process flow is executed such that a first output of executing the first portion of the process flow is obtained. The first subgraph is stored in association with the first output in a first cache entry of a cache. A second request to execute a second portion of the process flow is processed, where the second portion of the process flow is represented by a second subgraph of the graph.

Abstract: Collection vessel fill-indicator assemblies and mowers with collection vessel fill-indicator assemblies are provided. A collection vessel fill-indicator assembly includes a capacitance element configured to be disposed adjacent to a collection vessel of a mower to detect a fill state of the collection vessel; and an interference guard disposed around a portion of the capacitance element to shield the capacitance element from interference.

Abstract: The technology disclosed relates to creating and frequently updating multiple online analytic processing (OLAP) analytic databases from an online transaction processing (OLTP) transaction updatable system that includes transaction commit, rollback, and field level security capabilities. It also relates to transparently decoupling extraction from rebuilding of frequently updated OLAP analytic databases from the OLTP transaction updatable system.

Abstract: Methods, systems, and devices supporting dynamic process orchestration are described. An orchestration server may receive a request defining a data modification process from a user device. The orchestration server may generate an execution file based on the request, and the execution file may include a set of tasks for performing the data modification process and an order for performing the set of tasks. The orchestration server may execute, for the execution file, a first set of tasks according to the order for performing the set of tasks and, in some cases, may update the execution file based on executing the first subset of tasks. For example, updating the execution file may involve modifying a second subset of tasks of the set of tasks. The orchestration server may execute, for the updated execution file, the modified second subset of tasks according to the order for performing the set of tasks.

Abstract: DESCRIBED HEREIN ARE SYSTEMS, APPARATUS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR IMPLEMENTING DESIGN TIME AND BATCH TIME FOR AN EXTRACT, TRANSFORM, LOAD (ETL) PROCESS. WHEN A SESSION IS ESTABLISHED, A KUBERNETES POD INSTANCE MAY BE EXCLUSIVELY ASSOCIATED WITH A USER FOR THE USER'S SESSIONS. DESIGN TIME AND BATCH TIME MAY BOTH BE PERFORMED WITHIN THE KUBERNETES POD INSTANCE. AS SUCH, A SERVICE PROVIDER MAY PROVIDE A SECURE DATAFLOW PREVIEW. FURTHERMORE, THE DATAFLOW MAY BE CACHED. CACHING OF THE DATAFLOW ALLOWS THE SERVICE PROVIDER TO MORE QUICKLY PROVIDE FOLLOW UP PREVIEWS, DECREASING LATENCY.

Abstract: Methods, systems, and devices for data processing within a distributed data system are described. In a multi-tenant distributed data system, a provider may supply executable code for processing data using declarative processing instructions received from a tenant. For example, a tenant may provide tenant-specific processing instructions for a requested set of data. The processing instructions may indicate input information (e.g., a data structure, tenant-specific fields, etc.), transformation information (e.g., from a set of pre-defined transformations), and output information. The provider-supplied code may use the tenant-specific processing instructions to process and generate the requested set of data, where the code may be executed by multiple nodes within the system.

Abstract: Methods, systems, and devices for data processing within a distributed data system are described. In a multi-tenant distributed data system, a provider may supply executable code for processing data using declarative processing instructions received from a tenant. For example, a tenant may provide tenant-specific processing instructions for a requested set of data. The processing instructions may indicate input information (e.g., a data structure, tenant-specific fields, etc.), transformation information (e.g., from a set of pre-defined transformations), and output information. The provider-supplied code may use the tenant-specific processing instructions to process and generate the requested set of data, where the code may be executed by multiple nodes within the system.

Abstract: The technology disclosed relates to creating and frequently updating multiple online analytic processing (OLAP) analytic databases from an online transaction processing (OLTP) transaction updatable system that includes transaction commit, rollback, and field level security capabilities. It also relates to transparently decoupling extraction from rebuilding of frequently updated OLAP analytic databases from the OLTP transaction updatable system.

Abstract: The technology disclosed relates to creating and frequently updating multiple online analytic processing (OLAP) analytic databases from an online transaction processing (OLTP) transaction updatable system that includes transaction commit, rollback, and field level security capabilities. It also relates to transparently decoupling extraction from rebuilding of frequently updated OLAP analytic databases from the OLTP transaction updatable system.

Abstract: The technology disclosed relates to creating and frequently updating multiple online analytic processing (OLAP) analytic databases from an online transaction processing (OLTP) transaction updatable system that includes transaction commit, rollback, and field level security capabilities. It also relates to transparently decoupling extraction from rebuilding of frequently updated OLAP analytic databases from the OLTP transaction updatable system.