Data Integration Software Market

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Question ^*

Which data integration capabilities are most important for your organization?

1. A. Real-time data replication

2. B. Batch data processing

3. C. Data transformation and cleansing

4. D. Data virtualization

5. E. API integration

6. F. Cloud data integration

7. G. Master Data Management (MDM) integration

8. H. Data Governance support

9. I. Data Security features

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Question ^*

How satisfied are you with your current data integration solution (if applicable)?

1. A. Very satisfied

2. B. Somewhat satisfied

3. C. Neutral

4. D. Somewhat dissatisfied

5. E. Very dissatisfied

6. F. Not applicable (we don't use a dedicated data integration solution)

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Question ^*

What data source types do you most frequently need to integrate?

1. A. Relational databases (e.g., SQL Server, Oracle, MySQL)

2. B. Cloud data warehouses (e.g., Snowflake, Redshift, BigQuery)

3. C. SaaS applications (e.g., Salesforce, NetSuite, Marketo)

4. D. NoSQL databases (e.g., MongoDB, Cassandra)

5. E. File systems (e.g., CSV, JSON, XML)

6. F. Streaming data sources (e.g., Kafka, IoT devices)

7. G. Legacy systems (e.g., Mainframes)

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Question ^*

What is your preferred deployment model for a data integration solution?

1. A. On-premises

2. B. Cloud-based (SaaS)

3. B. Hybrid (combination of on-premises and cloud)

4. D. Open source

5. E. Managed service

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Question ^*

What are your biggest challenges when integrating data from different sources?

1. A. Data quality issues (e.g., inconsistencies, errors)

2. B. Lack of real-time data access

3. C. Complexity of data transformation

4. D. Difficulty connecting to various data sources

5. E. Performance bottlenecks during integration

6. F. High cost of integration (infrastructure, tools, expertise)

7. G. Difficulty in data governance and security

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