SYSTEM AND METHOD FOR ANALYZING BIG DATA ACTIVITIES

• US 20200133822A1
• Filed: 12/30/2019
• Published: 04/30/2020
• Est. Priority Date: 02/18/2015
• Status: Active Application

• Current Assignee: Unravel Data Systems, Inc.
• Original Assignee: Unravel Data Systems, Inc.
• Inventors: Babu, Shivnath, Agarwal, Kunal
• Application Number:
  US16/730,697
• Publication Number:
  US 20200133822A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/302 where the computing system component is a software system
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 16/122 using management policies backup systems G06F11/1446; file migration policies for HSM systems G06F16/185
• CPC Class Codes: G06F 16/182 Distributed file systems

Abstract

A system and method for analyzing big data activities are disclosed. According to one embodiment, a system comprises a distributed file system for the entities and applications, wherein the applications include one or more of script applications, structured query language (SQL) applications, Not Only (NO) SQL applications, stream applications, search applications, and in-memory applications. The system further comprises a data processing platform that gathers, analyzes, and stores data relating to entities and applications. The data processing platform includes an application manager having one or more of a MapReduce Manage, a script applications manager, a structured query language (SQL) applications manager, a Not Only (NO) SQL applications manager, a stream applications manager, a search applications manager, and an in-memory applications manager. The application manager identifies if the applications are one or more of slow-running, failed, killed, unpredictable, and malfunctioning.

Claims

1. A system, comprising:

a distributed file system for the entities and applications, wherein the applications include one or more of script applications, structured query language (SQL) applications, Not Only (NO) SQL applications, stream applications, search applications, and in-memory applications; and

a data processing platform that gathers, analyzes, and stores data relating to entities and applications, the data processing platform including,

an application manager having one or more of a MapReduce Manage, a script applications manager, a structured query language (SQL) applications manager, a Not Only (NO) SQL applications manager, a stream applications manager, a search applications manager, and an in-memory applications manager,

wherein the application manager identifies if the applications are one or more of slow-running, failed, killed, unpredictable, and malfunctioning.