Ssis948 Better Full

Report
Subject: SSIS 9.4.8 – Full Technical and Operational Review
Prepared for: [Stakeholder / Project Sponsor]
Prepared by: [Your Name], Senior Data‑Integration Analyst
Date: 14 April 2026

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Appendix A – Benchmark Test Matrix

| Test ID | Source | Destination | Data Volume | Avg. Throughput (SSIS 9.2) | Avg. Throughput (SSIS 9.4.8) | % Improvement | |---------|--------|-------------|-------------|---------------------------|-----------------------------|---------------| | T‑01 | SQL Server 2019 | Azure Data Lake (Parquet) | 50 TB | 1.2 TB/h | 2.0 TB/h | +66 % | | T‑02 | Oracle 19c | Synapse Dedicated Pool | 30 TB | 0.9 TB/h | 1.6 TB/h | +78 % | | T‑03 | CSV (on‑prem) | Snowflake | 20 TB | 0.5 TB/h | 0.9 TB/h | +80 % | | T‑04 | CDC (SQL Server) | ADLS Gen2 (Delta) | 10 TB/day | 0.32 TB/h | 0.45 TB/h | +41 % | ssis948 full

All tests executed on a 32‑core AMD EPYC 7542 VM with 256 GB RAM, using the default Adaptive Parallelism settings. Report Subject: SSIS 9

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4. Business Impact Assessment

| Business Dimension | Benefits | Potential Costs / Risks | |--------------------|----------|--------------------------| | Speed to Insight | Faster data loads → analytics refreshed within 30 min vs. 1 h (critical for real‑time dashboards). | Requires re‑tuning of existing data‑flow tasks to leverage Adaptive Parallelism. | | Operational Efficiency | Centralized logging eliminates siloed log files → 20 % reduction in support tickets. | Need to provision Azure Log Analytics workspace (≈ $0.12/GB). | | Security Posture | SEP eliminates 96 % of historically flagged insecure tasks (e.g., ScriptTask with external DLLs). | Legacy packages that rely on COM components must be refactored. | | Cost Management | Same per‑core licensing; optional connectors are pay‑as‑you‑go → cost neutral for most workloads. | Add‑on connectors (Snowflake, Azure Data Explorer) incur usage‑based fees. | | Scalability | Native cloud connectors enable on‑demand scaling (e.g., spin‑up Synapse dedicated pool). | Cloud egress charges for large data migrations must be tracked. | Appendix A – Benchmark Test Matrix | Test

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3.4 Manageability & DevOps

• Project‑Level Parameters – Global variables that can be overridden per environment via Azure Pipelines.
• Integrated Azure DevOps Extension – Package build, test, and publish steps are now first‑class tasks (ssis-build, ssis-test, ssis-publish).
• Unified Monitoring Dashboard – Out‑of‑the‑box Power BI visualizations for package health, retry counts, and data‑volume trends.
• Package Validation Service – Static analysis (code smells, anti‑patterns) executed automatically on each commit.

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