Retrieval of data from a time-series data lake

Abstract

Techniques are disclosed relating to the retrieval of data from a time-series data lake. For example, in various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains data for a plurality of organizations and where, for a first organization, the data lake service maintains a time-series data lake that stores a time-series representation of backup data associated with the first organization. The cloud-based service may receive a request, including one or more search criteria, for data associated with the first organization and, based on the search criteria, retrieve a particular view of the backup data that is stored in the data lake. In various embodiments, the particular view may include backup data from various different data sources and from various different points in time. The cloud-based service may then provide the particular view of the backup data to the requesting entity.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Application No. 62 / 982,970 entitled “Time-Series Data Lake,” filed on Feb. 28, 2020, which is hereby incorporated by reference as if entirely set forth herein. This application is also related to the following U.S. Applications filed on Feb. 26, 2021: U.S. application No. ______ (Attorney Docket Number 7251-00201), U.S. application No. ______ (Attorney Docket Number 7251-00203), U.S. application No. ______ (Attorney Docket Number 7251-00204), and U.S. application No. ______ (Attorney Docket Number 7251-00205), Each of the above-referenced applications is hereby incorporated by reference as if entirely set forth herein.BACKGROUNDTechnical Field[0002]The present disclosure relates generally to data storage systems, and more particularly to the retrieval of data from a time-series data lake.Description of the Related Art[0003]Organizations often utilize large amounts of data to support ...

AI Technical Summary

Benefits of technology

The patent text describes a data protection service that includes a time-series data lake for storing and retrieving data. The service allows organizations to utilize a single system for data storage and analysis, instead of multiple data stores that are inefficient for online analytical processing (OLAP) operations. The service also allows for the preservation and modification of data, and provides various methods for accessing and utilizing the data. The technical effects of the patent text include improved data management and analysis efficiency, reduced time and computational resources, and improved data protection and privacy.

Problems solved by technology

Further, in many cases, an organization will maintain its data in “data silos” in which some of the organization's data is isolated from, and thus not accessible to, other parts of the organization's system.

The data stores utilized by an organization are typically used for online transaction processing, for example to store and retrieve data as-needed to support the services the organization provides, but are typically not effective for online analytical processing (“OLAP”) operations.

This process is both time-consuming and computationally expensive.

Further, since this process results in a point-in-time view of the organization's data, this “ETL” process must be repeated each time the organization wishes to obtain a different view of its data, resulting in significant expense in time and computational resources.

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