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A WEBBASED SYSTEM FOR CONTINUOUS DATA STREAM MANAGEMENT,

A WEBBASED SYSTEM FOR CONTINUOUS DATA STREAM MANAGEMENT, 2025

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The document presents a project by Xing H. Liu, which focuses on developing a web-based system for continuous data stream management to measure the motions of the Carquinez Bridge using RTK-GPS technology. The system aims to automate the post-processing and visualization of large sensor data files generated daily, addressing issues related to real-time data access and analysis. Key features include capturing real-time data streams, identifying significant events, and maintaining historical records. Built on a WAMP stack, the system enhances accessibility for bridge engineers while eliminating cumbersome data handling processes.

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What are the four major types of data management systems?

4 types of data management systems Customer Relationship Management System or CRM. Marketing technology systems. Data Warehouse systems. Analytics tools.

What is the difference between database management system DBMS and data stream management system DBMS?

While DBMS, allows the management of structured static data with data integrity and allows the execution of complex queries, it fits into the notion of stable data environments, whereas DSMS processes continuous real-time streams of data for applications where up-to-the-minute information is needed.

What is a data stream management system?

A Data Stream Management System (DSMS) is built to manage and analyze continuous, real-time data streams. Unlike traditional databases that handle fixed and static data, A DSMS deals with dynamic data coming from sources like sensors or social media, processing it as it flows in.

What is a data stream management system in big data?

A data stream management system (DSMS) is a computer software system to manage continuous data streams. It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases.

What is a data streaming example?

Examples of Streaming Data The most common use cases for data streaming are streaming media, stock trading, and real-time analytics. However, data stream processing is broadly applied in nearly every industry today.

What is the difference between a DMS and a DBMS?

Unlike Database Management Systems (DBMS), which focus primarily on handling data within structured databases, a DMS extends its scope to include a broader array of functionalities such as data governance, quality management, integration, metadata management, and more.

A WEBBASED SYSTEM FOR CONTINUOUS DATA STREAM MANAGEMENT, 2025

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