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Questions and Answers
What is the purpose of system integration?
What is the purpose of system integration?
To synchronize important data, streamline processes, and enhance efficiency in business.
What is system integration in layman's terms?
What is system integration in layman's terms?
Connecting various system components to create a functional, interwoven system.
What is an example of an integration system?
What is an example of an integration system?
Integrating HR management systems, payroll processing systems, and benefits administration systems.
Which of the following are types of business integration? (Select all that apply)
Which of the following are types of business integration? (Select all that apply)
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What does data integration involve?
What does data integration involve?
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Which of the following is a type of system integration?
Which of the following is a type of system integration?
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What are the three challenges organizations face when integrating heterogeneous data sources?
What are the three challenges organizations face when integrating heterogeneous data sources?
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What is data extraction?
What is data extraction?
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A company can use SQL or ETL tools to extract __________ information.
A company can use SQL or ETL tools to extract __________ information.
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Vertical integration includes only forward integration.
Vertical integration includes only forward integration.
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Study Notes
System Integration and Architecture
- System integration aims to synchronize data, streamline processes, and enhance efficiency in businesses.
- A cohesive technological infrastructure allows automation of tasks, reducing reliance on manual data transfers.
Purpose of System Integration
- Connects various system components to form a functional, integrated ecosystem.
- Establishes a single data integration platform, paving the way for future success and growth.
Examples of Integration Systems
- Integrating HR management, payroll processing, and benefits administration systems for seamless data flow in HR departments.
- Vertical integration enhances data flow and minimizes manual data entry.
Types of Business Integration
- Horizontal Integration: Merging with companies in the same industry to expand operations and increase market share.
- Vertical Integration: Acquiring other organizations in the supply chain, with three subtypes: backward (acquiring suppliers), forward (acquiring distributors), and balanced.
Data Integration
- Process involves extracting, transforming, cleaning, and loading data (ETL).
- Four key integration processes: batch, ETL, ELT, and real-time integration.
Types of System Integration
- Point-to-point Integration: Direct communication link connecting two systems for simplicity and efficiency.
Star Integration
- Connects multiple applications and subsystems via a collection of point-to-point integrations.
Webhooks
- Event-driven integration that necessitates programming within subsystems, triggered by third-party services.
Data Integration (Further Details)
- Combines data from various sources into a unified view for analysis and reporting.
- Involves processes like data extraction, transformation, and loading (ETL).
Process Integration
- Aligns and coordinates business processes across different systems to improve efficiency and streamline workflows.
Horizontal Integration Model
- Known as "hub-and-spoke," uses a central platform as a gateway to connect various applications.
- Example: Using Salesforce as a central CRM connected to inventory, logistics, and marketing systems.
Star Integration Model (Detailed)
- Also known as point-to-point or spaghetti integration, connects each subsystem to others using direct links.
- Increased functionality comes at the cost of more extensive integration requirements.
Challenges in Integrating Heterogeneous IoT
- Issues include heterogeneity of devices, data formats, communication methods, and interoperability challenges.
Common Challenges in Data Integration
- Data Extraction: Retrieving data from different sources for analysis or storage.
- Data Integrity: Ensuring accuracy and consistency of data across systems.
- Scalability: Ability to effectively manage increased data loads and system integrations.
Example of Data Extraction
- Companies can employ SQL or ETL tools to extract customer data (purchase history, demographics) from relational databases for behavioral analysis.
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Description
This quiz explores the essential concepts of system integration and architecture, focusing on its purpose and benefits for businesses. Learn how synchronizing data and streamlining processes can enhance efficiency and automate tasks in a cohesive technological infrastructure.
