...

DARKSN

Services +
Cloud Computing +
Cloud Strategy Cloud Security DevOps & CI/CD Serverless Data Storage Multi-Cloud Management Serverless Computing IoT Cloud Integration Big Data and Analytics
Data Solutions +
Data Analytics Big Data Predictive Analytics Business Intelligence Data Management Data Security & Compliance Data Encryption Data Integration Data Warehousing
IT Security +
Security Consulting Penetration Testing Threat Protection Security Audits Firewall Management Vulnerability Management Incident Management Security Training Recovery & Continuity Data Compliance Access Control
Software Engineering +
Custom Software Web Development Mobile Apps E-commerce Solutions API Development Database Development UI Design UX Design
ERP Solutions +
Implementation Consulting Development Customization Integration
Marketing +
SEO Content Marketing Social Media Inbound Marketing PPC Advertising Organic Social Media Influencer Marketing Affiliate Marketing
Technologies +
Cloud Platforms +
Microsoft Azure AWS ServiceNow Salesforce Pimcore SaaS Cloud Solutions
Languages & Frameworks +
Java Python .NET PHP Golang React.js Node.js JavaScript C/C++
Microsoft Solutions +
Dynamics 365 SharePoint & Office 365 Power BI Power Apps Microsoft Solutions
About +
Company +
Mission & Values Our Teams Privacy Policy Imprint
Careers +
Why Choose Us Career
Resources +
Blog FAQ
References
Contact

data integration

\\ data integration \\

During data integration, data from different sources is merged, combined and stored in a suitable format.

Integrated data helps companies make more accurate and informed decisions

Incorrect decisions caused by inconsistent or incomplete data are minimized.

Data integration speeds up access to data and optimizes the data analysis process. This increases the efficiency of companies.

\\ Providing companies with flexibility and improved performance \\

The integration of data into Customer Relationship Management (CRM) systems enables more comprehensive management of customer data.

Data integration helps companies to improve their risk management processes by bringing together data from different sources.

  • Flexibility & Cost Savings
  • Business Continuity
Contact Us

Interaction

Data transmission

Repair

Optimization

Route guidance

Fuse

\\ Maintaining more service, capturing the future\\

\ \ Companies offer flexibility and improved performance\\

Strategic approach for companies that draw their strength from diversity.

Integrated data supports companies’ strategic planning processes and helps them to make forecasts for the future.

Data Integration Consulting

Our consulting services are designed to optimize your current data infrastructure or build a new, efficient integration system from the ground up. We’ll design a flexible, cost-effective solution architecture, recommend the best tools, and establish a secure, compliant data management framework.

Data Integration Implementation

Whether you need to set up and customize a data integration platform or develop custom software components like ETL pipelines and APIs, we have you covered. We can also implement a comprehensive data warehousing and analytics system tailored to your unique requirements.

Data Integration Support

Our support services ensure the long-term stability of your data integration solution, addressing troubleshooting needs and evolving the system as requirements change. We also monitor and streamline data quality management processes to maintain data accuracy and consistency.

Data Integration Methods

Data Integration
ETL
ELT
Virtualization
Propagation

Select a method to learn more

Click on one of the integration methods in the wheel above to see detailed information.

Data Integration Deployment Models

On-Premises
Best for:
Legacy systems that are difficult to integrate in a cloud environment or organizations with strict data hosting policies (e.g., healthcare, defense).
What you pay for:
Software licenses (e.g., Informatica, Oracle Data Integrator), hardware, and IT resources for setup and maintenance.
Common challenge:
Scalability limitations due to the need for additional hardware.
How we solve it:
We parallelize tasks across servers to increase processing power and use solid-state drives and in-memory caching to reduce latency.
Cloud
Best for:
Handling growing data volumes, enabling easy access for distributed teams, and leveraging cloud platforms for data analytics, machine learning, and AI.
What you pay for:
Subscription fees (e.g., AWS Glue) and cloud resource consumption based on usage, along with IT resources for maintenance.
Common challenge:
Vendor lock-in.
How we solve it:
By using common data formats (e.g., JSON, XML) for cross-cloud portability and incorporating open-source tools to avoid dependency on specific cloud vendors.
Hybrid (Cloud + On-Premises)
Best for:
Companies looking to gradually move from on-premises to cloud infrastructure or those needing to retain some data on-premises due to security or regulatory concerns.
What you pay for:
Costs associated with both on-premises and cloud solutions, along with IT support for implementation and maintenance.
Common challenge:
Data consistency between cloud and on-premises systems.
How we solve it:
We implement data replication and synchronization strategies to maintain consistent data updates across both environments.

Commitment to True Project Success

Discover How We Achieve This