Data integration: Main approaches
Contents of article:
Corporate functionality and development are unimaginable without proper data management practices, especially in the digital society. The total amount of information multiplies rapidly with the prospect of exceeding 200 zettabytes by 2025, while informational types’ range grows as well. Consolidating separate metrics and knowledge pieces with further standardization leads to an accurate analysis and considered decision-making. Analysts are aware of ethical scraping challenges to overcome with proper AI-based software and the best datacenter proxies. Dexodata as the AML/KYC-compliant ecosystem supplements these procedures offering to buy dedicated proxies at scale for both public online info acquisition and data integration.
What is data integration?
Data integration (DI) implies seamless convergence of diverse information sources into a singular repository — local warehouse or cloud-based. This allows combining and leveraging various types of knowledge and statistics. That plays a pivotal role in enabling businesses to leverage their internal and external units’ potential fully. DI:
- Ensures accessibility, accuracy, and actionable insights
- Empowers informed decision-making
- Bolsters operational efficiency
- Fosters adaptability.
Data integration is a crucial facet within the broader DataOps framework along with informational protection and governance. It combines technologies and methodologies to optimize the end-to-end data pipeline. A shift from on-premise storage to cloud computing capabilities has created a demand on proxy free trial before enabling integrative procedures. The reason lies in the need to establish a sustainable, encrypted connections network between distant sources of online intelligence.
Popular DI tools are:
- Informatica PowerCenter
- Talend Open Studio
- Microsoft Azure
- Apache NiFi
- IBM InfoSphere
- Integrate.io
- Fivetran.
These solutions operate different approaches and techniques, the features of which we will emphasize further.
Data integration approaches
There is a difference between approaches and techniques. An approach is a general set of rules for handling information, with the best datacenter proxies or without them. And a technique is regarded as a particular methods’ array to approach’s implementation. The distinctive line between two terms is blurred, but in spite of this we distinguish data integration approaches, such as:
- ETL (Extract, Transform, Load)
- ELT (Extract, Load, Transform)
- Master Data Management (MDM)
- Virtualization
- Replication.
The table below shows the attributes and scope of application for the listed methods.
| Approach | Definition | Distinctive Features | Use Cases | Benefits | Disadvantages |
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ETL (Extract, Transform, Load) |
Three-phased tactic of:
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ELT (Extract, Load, Transform) |
Similar to ETL with other order of actions. |
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| Master Data Management (MDM) | Consolidates properties of the most critical (master) categories: customers, products, employees, suppliers, locations, etc. | Focuses on creating a standardized, authoritative origin of master knowledge. |
Control of:
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| Data Virtualization | An aggregated set of distinctive content without its physical moving. |
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| Data Replication | Creation and maintenance of data copies from multiple locations. |
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Automated implementation of the listed approaches requires the best datacenter proxies’ application on almost each stage. The integration is an ongoing process which benefits from adding an intermediate infrastructure to operating numerous end-to-end pipelines seamlessly.
Data integration and Dexodata's proxy servers
Ethical ecosystem with I/O nodes in 100+ countries, such as Dexodata, serves as a one-stop solution for successful data integration. The best datacenter proxies grant:
- Security and access control through user authentication, ensuring that only authorized entities engage in the integration flow.
- Proprietary info protection during the transmission based on dynamic IP rotation and compliance with API methods.
- Load balancing by distributing client-server requests across multiple internet nodes. This prevents bottlenecks and fosters a seamlessly balanced datasets’ environment.
- Protocol transformation between systems employing different communication basics. Buying dedicated proxies from Dexodata guarantees that every IP supports HTTP(S) and SOCKS5.
- Caching frequently accessed information to decrease the backend systems’ strain, reduce response times and raise overall efficiency.
Dexodata acts in strict compliance with KYC/AML policies and supports integration with cloud frameworks, such as AWS, Azure, Google Cloud, etc. To test the performance of chosen SQL Server sheets and SaaS (Software as a Service) apps contact our go-to specialists and order a proxy free trial.
