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HULFT Integrate

On-premises ETL and data integration

Deployment Requirements

  • Do you require data integration to run entirely on-premises?
  • What is driving the on-premises requirement? (security, compliance, policy)
  • Are there any data residency or sovereignty requirements?
  • Is cloud connectivity permitted for any use cases?

Current Integration State

  • What data integration or ETL tools do you use today?
  • Are you replacing an existing tool? Which one?
  • What are the main pain points with your current approach?
  • How many integrations/data flows do you manage currently?
  • Who builds and maintains integrations today?

Technical Environment

  • What server operating systems are in your environment?
  • What is your virtualization environment?
  • Do you have container infrastructure?
  • What are your primary data sources? (Databases, ERP, mainframe, files, APIs)
  • What database platforms do you need to connect to?
  • Do you have mainframe or AS/400 systems to integrate?
  • What are your primary data targets? (Data warehouse, data lake, reporting)

Volume & Performance

  • What is the volume of data to be processed? (rows/day, GB/day)
  • What are your largest tables or files?
  • What is the acceptable processing window for batch jobs?
  • Do you have real-time or near-real-time requirements?
  • Are there SLAs for data freshness?

Processing Patterns

  • What integration patterns do you need? (Batch ETL, CDC, Full refresh, Incremental loads)
  • What types of transformations are required? (Data type conversion, lookups, aggregation, validation)
  • Do you need to join data from multiple sources?
  • Are there data quality rules that must be enforced?

Development & Operations

  • Who will develop integrations? (IT, data engineering, business analysts)
  • Is a no-code/low-code approach important?
  • How are integration jobs scheduled today?
  • What monitoring and alerting requirements do you have?
  • How many environments do you need? (dev, test, prod)

Security & Compliance

  • What security requirements apply to data in motion?
  • What authentication mechanisms are required?
  • What compliance frameworks apply? (SOX, HIPAA, PCI-DSS, GDPR)
  • What audit trail requirements exist for data lineage?

Success Criteria

  • What are the top 3-5 integration use cases to address first?
  • How will you measure success? (Development time, data quality, performance)
  • What ROI would justify this investment?
  • What is the timeline for implementation?