Data Lake Loading Method for Distributed Messaging Systems
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Solution Overview
Problem
Current data management systems face challenges in efficiently processing and loading large amounts of data from distributed messaging systems like Apache KAFKA, particularly in accessing and managing unstructured data, which hinders data analysis and increases computational complexity.
Innovation Solution
An electronic apparatus and method that allows users to select specific data fields from a distributed messaging system, process them according to a predetermined format, and load the data into a data lake, enhancing data access convenience and analysis efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all data fields from distributed messaging system are loaded into data lake, then data completeness is improved, but data processing time and computational complexity increase
Solution Approach 1:
The patent extracts only the necessary data fields from messages in the distributed messaging system based on user selection, rather than loading all fields. This selective extraction reduces the volume of data transferred and processed, directly addressing the contradiction between data completeness and processing time by allowing users to specify which fields are actually needed for their analysis purposes
2Adaptability or versatility
If user interface provides detailed data field selection options, then data loading flexibility is improved, but system complexity increases
Solution Approach 1:
The patent segments the data field selection process into distinct, manageable components presented through a user interface. Users can selectively choose which data fields to load by interacting with organized field options, breaking down the complex task of data field management into simple selection actions. This segmentation maintains high flexibility while keeping the interface and system manageable
Data Source
AI summary
The present disclosure relates to a method of loading data. The method includes checking a topic corresponding to a search word among a plurality of topics in response to acquiring a search word for a topic of a distributed messaging system from a user, checking a data format including one or more fields of a message loaded into a topic, and then loading data generated based on the checked data format and the read message into a data lake.