Emc IP Holding Company LLC

Computer Associates Think, Inc.

Ca, Inc.

Timothy Bruce

John M Casey

Russell A Witt

Osvaldo A Ridner

David Stephen Reiner

Nihar Nanda

David Lee Helsley

Leo Lei Wang

Wenbin Lu

Brian J Marshall

Carl Eric Johnson

Mark D Henderson

Rajesh Manjrekar

William Abernathy

Xiaofeng Luo

Gary Gregory

Theodore Bardasz

Joe Bob Cravy

David L Helsey

Lee Li Ni

Milton I Bailey

Roger J Rogala

Wendy A Webster

Donald F Metzner

Will Youwei Sun

Peter J Dres

Neil Li

A system includes a persistent storage and a data transfer manager. The persistent storage stores sending entity storage resources and receiving entity storage resources. The data transfer manager obtains a data transfer request for data in the sending entity storage resources. In response to obtaining the data transfer request, the data transfer manager obtains a sending entity schema associated with the data; determines a current storage location of the data using the obtained sending entity schema; determines a future storage location for a copy of the data in the receiving entity storage resources; stores a copy of the data at the determined future storage location; adapts the sending entity schema based on the determined future storage location; and modifies a receiving entity schema based on the adapted sending entity schema.

Method and system for efficient data replication in big data environment

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.

Ingestion manager for analytics platform

A computing device includes a persistent storage and a processor. The persistent storage includes an asset. The processor obtains a computation request for the asset, instantiates an executable entity based on a computation prototype and a manifest associated with the asset, performs the computation request using the instantiated executable entity and metadata specified by the manifest associated with the asset to obtain a computation result; and provides the obtained computation result.

Management of data using templates

A registration framework is disclosed that allows assets to be registered with an analytics platform. When an asset is ingested into the analytics platform, the registration framework operates to register the asset in an asset roster. The asset roster identifies the asset and stores information about the asset. The registration framework can then be used by users to discover assets. Assets may also be deployed by the registration framework to workspaces.

Registration framework for an analytics platform

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.

Analytics platform and associated controller for automated deployment of analytics workspaces

The present disclosure is directed to a method and system for encrypting files based on security rules. In accordance with a particular embodiment of the present disclosure, a request to store a file on a storage device is received. At least one security parameter associated with a security profile of the file is identified. It is determined whether to encrypt the file by applying at least one security rule to the security parameter. The security rule includes selection criteria. The file is encrypted if the security rule indicates the file should be encrypted. The file is stored on the storage device.

Method and system for encrypting files based on security rules

According to one embodiment, a data storage system includes a storage medium coupled to a compression appliance. The compression appliance is operable to selectively compress data that is stored on the storage medium. The compression appliance selectively compresses the data according to a lower compression threshold and an upper compression threshold such that a useful compression level is achieved while balancing processor loading.

System for compression and storage of data

The present invention is directed to a method and system for intercepting transactions for encryption. In accordance with a particular embodiment of the present invention, an application for a storage device is monitored. A transaction for the storage device is intercepted. An encryption request within the transaction is identified. Performance of the transaction is emulated by performing the encryption request in a predetermined exit point of the application.

Method and system for intercepting transactions for encryption

Systems and methods are provided for encrypting data, generating encryption keys, and generating encryption indicators. The encryption indicators may be stored on a storage medium in a location separate from the location of stored encrypted data. The encryption indicator includes information indicative of the encryption key used for encrypting and decrypting the data. In one example, the storage medium is a tape, and the encryption indicator is stored in the user header label of the tape.

System and method for data encryption keys and indicators

Systems and methods are provided for encrypting data without regard to applications writing the data to, or reading the data from, encrypted data storage devices. An operating system intercept detects information indicating that a file will be encrypted and, in respond, sets device-level flags indicating encryption and also establishes one or more encryption keys to be used in the encryption process. A second intercept detects an input/output event and, in response, calls an encryption application to encrypt (or decrypt) the data before it is written to (or read from) the data storage device.

System and method for encrypting data without regard to application

A system and method for online reorganization of an existing database that occurs while read and update activity of the existing database continues. The system and method comprise unloading the existing database, reloading the existing database directly to a shadow database, building shadow database indexes, creating a first intermediary image copy of the existing database, analyzing the existing database, capturing updates for the existing database, applying the captured updates to the shadow database, taking the existing database offline, finalizing the shadow database with any remaining updates, creating a final image copy, comparing the existing database and the finalized shadow database, and placing the finalized shadow database online.

Growing community of inventors

Carrollton, TX, United States of America

Timothy Bruce