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Top 9 Architectural Patterns for Data and Communication Flow
🔹 Peer-to-Peer
The Peer-to-Peer pattern involves direct communication between two components without the need for a central coordinator.
🔹 API Gateway
An API Gateway acts as a single entry point for all client requests to the backend services of an application.
🔹 Pub-Sub
The Pub-Sub pattern decouples the producers of messages (publishers) from the consumers of messages (subscribers) through a message broker.
🔹 Request-Response
This is one of the most fundamental integration patterns, where a client sends a request to a server and waits for a response.
🔹 Event Sourcing
Event Sourcing involves storing the state changes of an application as a sequence of events.
🔹 ETL
ETL is a data integration pattern used to gather data from multiple sources, transform it into a structured format, and load it into a destination database.
🔹 Batching
Batching involves accumulating data over a period or until a certain threshold is met before processing it as a single group.
🔹 Streaming Processing
Streaming Processing allows for the continuous ingestion, processing, and analysis of data streams in real-time.
🔹 Orchestration
Orchestration involves a central coordinator (an orchestrator) managing the interactions between distributed components or services to achieve a workflow or business process.
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Step by Step Learning ✅
1. Google Data Analytics:
🔗https://t.co/kbtQyxb9Ty
2. Learn Python Basics for Data Analysis
🪢https://t.co/OQ3QkFKvre
3. Data Analysis with R Programming
🔗 https://t.co/rdCB9QxaDP
4. Foundations: Data, Data, Everywhere
🪢 https://t.co/jclVSby7Gp
5. Ask Questions to Make Data-Driven Decisions
🔗 https://t.co/aN0s5LlUMj
6. Process Data from Dirty to Clean
🪢 https://t.co/y9fxCeQtx9
7. Share Data Through the Art of Visualization
🔗 https://t.co/dUFitk3UOX
8. Analyze Data to Answer Questions
🪢 https://t.co/BJsq80tVnL
9. Get Started with Python
🔗 https://t.co/UZ5t9k0kmu
10. Go Beyond the Numbers: Translate Data into Insights
🪢 https://t.co/xarjjq5xpV
11. The Power of Statistics
🔗 https://t.co/LAbZdDrhBd
12. Regression Analysis: Simplify Complex Data Relationships
🪢 https://t.co/PtU2xwsQxy
13. The Nuts and Bolts of Machine Learning
🔗 https://t.co/FO8KC4uqgT
14. Google Advanced Data Analytics Capstone
🪢 https://t.co/5ayJiSRGok
Happy Learning 🌟