Data architecture diagram
2024-11-12 11:03:03 3 Report
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This data architecture diagram serves as a comprehensive guide to understanding the intricate components and processes involved in modern data management. It highlights key elements such as indicator aggregation, data modeling, and columnar storage, while also detailing advanced features like real-time data, parallel storage, and disaster recovery clusters. The diagram illustrates the integration of big data platforms, visualization tools, and enterprise-level controls, offering insights into efficient data handling through unified SQL, multidimensional analysis, and intelligent operation. With its focus on system integration, data preparation, and visualization, this diagram is an essential resource for optimizing data-driven decision-making.
Other works by the author
Outline/Content
Indicator Aggregation
Single Sign-On
Data Modeling
Unified Report Query Platform
Slice/Cube
Data Map
Columnar storage
Single template access
Cross tabulation table
Enterprise-level control
Asynchronous extraction
Hadoop and other big data platforms
Management cockpit
Local mode
System integration
Grouping Table
PC version
Data preparation
Third-party visualization plugin
Conduct cache
Data Mart (Business Package)
Report production
SQL dataset
Data report
NOSQL data set
Parallel storage
Disaster recovery cluster
Database table
Local Storage
Data big screen
rotation
Chart visualization
Memory acceleration
massive amounts of data
User/Template/Permission Management
Unified SQL
Visualization charts
Direct connection mode
Multidimensional database
Mobile side
Association model
Genetic analysis
Data Engine
Multidimensional analysis
Distributed mode
Report view
Theme appearance and other designs
Distributed storage
Top roller drilling
Real-time data
Embedded integration
URL access
Visual ETL
Independent portal
Intelligent operation and maintenance
Relational database
Self-developed H5 charts
File data source
Data预警
Excel dataset
Schedule
Data linkage
Data connection
Program data source and other
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