Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: A method for updating a block on disk is provided. The method involves one or more clients committing log records to queues corresponding to blocks. The method further involves checkpointing, which includes obtaining a flushing lock on the queue by a client, receiving log records from the queue, applying the log records to a block on disk, and deleting the log records from the queue. A block on disk may be updated by first applying the log records from a queue to a locally cached version of the block corresponding to the queue. The locally cached version may then be stored on the disk replacing the original block on disk or being stored as a new version of the original block.

Abstract: A method for updating a block on disk is provided. The method involves one or more clients committing log records to queues corresponding to blocks. The method further involves checkpointing, which includes obtaining a flushing lock on the queue by a client, receiving log records from the queue, applying the log records to a block on disk, and deleting the log records from the queue. A block on disk may be updated by first applying the log records from a queue to a locally cached version of the block corresponding to the queue. The locally cached version may then be stored on the disk replacing the original block on disk or being stored as a new version of the original block.