Abstract: An apparatus in one embodiment comprises a processing platform implementing an Internet of Things (IoT) distributed management system accessible to a plurality of user devices over at least one network. The processing platform is configured to determine IoT infrastructure for a given IoT deployment in at least one particular usage context, to control placement of multiple workflow processes for the IoT deployment over a plurality of distributed locations within the IoT infrastructure, and to manage execution of the workflow processes at the distributed locations in accordance with one or more constraints of the particular usage context. The IoT deployment comprises one or more IoT platforms each configured to interact with a different set of IoT devices. The placement of multiple workflow processes over the plurality of distributed locations illustratively provides a designated distribution of data, services, applications and analytics for the IoT deployment in the particular usage context.

Abstract: An apparatus in one embodiment comprises a processing platform implementing a data set discovery engine. The data set discovery engine comprises a data set indexer configured to generate similarity indexes for a plurality of data sets, and a relativistic retriever coupled to the data set indexer and configured to obtain a suitability template for a query and to execute the query against one or more of the similarity indexes based at least in part on the suitability template. A given one of the similarity indexes comprises at least first and second auxiliary information generated from respective ones of at least first and second different similarity measures of a plurality of different similarity measures. The first and second similarity measures comprise selected ones of the plurality of different similarity measures that are supported by the data set discovery engine with the supported similarity measures comprising both frequency-based and non-frequency-based similarity measures.

Abstract: An apparatus in one embodiment comprises an analytics platform and a controller. The controller is associated with the analytics platform and configured to control automated deployment of analytics workspaces of the analytics platform. The analytics platform includes or otherwise has access to sets of at least data ingestion engines, data containers, analytics tools and virtual resources. The controller is configured to deploy a given one of the analytics workspaces of the analytics platform as an at least partially user-specified combination of particular selected ones of the data ingestion engines, data containers, analytics tools and virtual resources. The controller may additionally be configured to monitor usage of the combination of particular selected ones of the data ingestion engines, data containers, analytics tools and virtual resources of the given analytics workspace, and to alter the combination responsive to the monitoring.

Abstract: An apparatus in one embodiment comprises an ingestion manager, a plurality of ingestion engines associated with the ingestion manager, and an analytics platform configured to receive data from the ingestion engines under the control of the ingestion manager. The ingestion manager is configured to interact with one or more of the ingestion engines in conjunction with providing data to a given one of a plurality of analytics workspaces of the analytics platform. For example, the analytics workspaces of the analytics platform are illustratively configured to receive data from respective potentially disjoint subsets of the ingestion engines under the control of the ingestion manager. Additionally or alternatively, the ingestion manager may be configured to implement data-as-a-service functionality for one or more of the analytics workspaces of the analytics platform.

Abstract: A data storage system comprises a storage array and an associated indexer that may be implemented in whole or in part within the storage array. The storage array comprises storage devices and a controller. The indexer associated with the storage array is configured to generate indexes over data stored in the storage array. The controller comprises a query processing control point configured to utilize the indexes generated by the indexer to accelerate execution of queries directed to the data stored in the storage array. The indexes may be stored in a high-speed memory of the storage array, such as flash memory. The queries executed in the storage array may comprise analytic queries that would otherwise normally be executed in an analytic data store external to the storage array. By providing index-based processing of the queries within the storage array, query processing throughput of the data storage system is substantially improved.

Abstract: A data management system comprises a multi-latency logical data store and an associated controller. The multi-latency logical data store comprises a first data store having a first data latency and a second data store having a second data latency substantially different than the first data latency. The controller is configured to manage the multi-latency logical data store utilizing multi-latency data sets each of which provides at least one multi-latency link between at least a portion of a data set from the first data store and at least a portion of a data set from the second data store. By way of example, the first data store may comprise a low-latency data store and the second data store may comprise an analytic data store having a substantially higher data latency than the low-latency data store. The data management system is implemented using one or more processing devices of a processing platform.

Abstract: Information processing techniques for managing data center configurations. In one example, a method comprises the following steps. A registry is maintained corresponding to at least one of products and services offered by a provider entity for use in providing a data center for a customer entity. A central interface is provided for presenting information maintained in the registry and for presenting one or more features operative to allow the customer entity to create and/or change a configuration of the data center. The central interface comprises one or more features for obtaining at least one of the data center products and services, one or more features for configuring the obtained one of the data center products and services, and one or more features for managing the configured one of the data center products and services. Accordingly, the customer obtains a customized data center configuration through the central interface and the registry.

Abstract: A reasoning system is configured to interact with data processing elements of an information processing system. The reasoning system includes a reasoning module configured to perform one or more reasoning operations on metadata. The metadata characterizes data sets associated with the data processing elements in order to identify at least selected portions of one or more of the data sets as being suitable for use in achieving a designated purpose. The reasoning system also includes a dynamic information assembly module configured to utilize results of the one or more reasoning operations to assemble at least a subset of the selected portions so as to achieve the designated purpose. The reasoning system and associated data processing elements may be implemented, by way of example, in cloud infrastructure of a cloud service provider, or on another type of processing platform.

Abstract: A data set manager is configured to interact with data processing elements of an information processing system. The data set manager comprises a metadata capture module configured to access or otherwise obtain metadata characterizing data sets associated with the data processing elements, a reasoning module configured to perform one or more reasoning operations on the metadata, and an action recommendation module configured to identify one or more recommended actions for the data processing elements based at least in part on results of the reasoning operations. The metadata characterizes properties of the data sets and relationships among the data sets, and may be defined in accordance with at least one of a specified ontology and a specified class. The data set manager and associated data processing elements may be implemented, by way of example, in cloud infrastructure of a cloud service provider, or on another type of processing platform.