REAL-TIME DATA ANALYTICS USING CLOUD COMPUTING

Abstract

The present invention provides a system and method for real-time data analytics using cloud computing, enabling efficient ingestion, processing, and analysis of high-volume data streams from diverse sources. The system leverages scalable cloud infrastructure to handle real-time data processing, integrating advanced analytics, machine learning algorithms, and real-time visualization to deliver actionable insights. It is designed to support various applications, including IoT, e-commerce, and financial markets, providing businesses with timely, data-driven decisions to optimize operations, improve customer experiences, and mitigate risks. The invention offers a flexible, cost-effective, and scalable solution for real-time data analytics in cloud environments.

Specification

Description:The embodiments of the present invention generally relate to the field of data analytics, and more specifically to real-time data analytics leveraging cloud computing infrastructure. It encompasses methods, systems, and devices designed to process, analyze, and visualize large volumes of data from multiple sources in real time, utilizing the scalability and flexibility of cloud-based environments to deliver efficient, actionable insights for users and businesses.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

The rise of the Internet of Things (IoT), smart devices, and real-time data generation has sig , Claims:1. A method for performing real-time data analytics using cloud computing, comprising:
receiving data streams from multiple data sources;
processing the data streams in real time using a cloud-based computing platform;
analyzing the processed data in real time using at least one data analytics algorithm;
storing the processed data in a cloud-based storage system for real-time access; and
displaying the analysis results via a real-time interactive dashboard.

2. The method of claim 1, wherein the data streams include data from Internet of Things (IoT) devices, sensors, or web servers.

3. The method of claim 1, further comprising applying machine learning algorithms to the processed data to provide predictive analytics or anomaly detection.

4. A system for real-time data analytics using cloud computing, comprising:
a data ingestion module configured to receive data streams from multiple data sources;
a cloud-based processing engine configured to process the data streams in real time;
an analytics module confi

Documents