Personalized Apache Iceberg Solution for J&J
Hi Jean,
Thank you for considering ITMAGINATION for your Apache Iceberg implementation. Based on our discussion, here’s a concise draft outlining:
- Our recommended Iceberg architecture across GCP, AWS & on-prem environments
- Key project phases and milestones in a high-level schedule
- An indicative approach to budgeting for a 3 PB, 99.9% SLA, sub-2 s query-time deployment
1. Proposed Architecture
We’ll design a hybrid architecture that uses:
- Storage Layer: Iceberg tables on Google Cloud Storage, AWS S3 & on-prem object storage.
- Compute & Processing: Apache Spark on Databricks (GCP & AWS) and EMR/Spark on-prem.
- Metadata & Catalog: Centralized Iceberg catalog via AWS Glue or a self-hosted Hive Metastore for cross-cloud interoperability.
- Monitoring & Governance: Integrated with Azure Purview or Collibra for data lineage, and Prometheus/Grafana for operational metrics.
2. High-Level Project Schedule
Our typical timeline for a 3—4 PB, multi-cloud Iceberg rollout includes:
- Week 1–3: Discovery & Architecture Design (requirements gathering, environment assessment, initial security review)
- Week 4–6: PoC & Pilot Setup (deploy Iceberg tables, validate partitioning strategy, run sample workloads)
- Week 7–10: Full Data Migration & Pipeline Conversion (migrate existing Spark jobs, set up DDL/DML automation, snapshot testing)
- Week 11–13: Performance Tuning & Optimizations (file sizing, compaction jobs, compute scaling policies)
- Week 14–15: Production Cutover & SLA Validation (final data sync, user acceptance testing, performance validation under load)
- Week 16: Handover & Knowledge Transfer (runbooks, training sessions, run continuous improvement plan)
3. Indicative Budget Overview
Projects of this scale—handling 3 PB with sub-2 s query SLAs—typically require a dedicated team of architects, data engineers and DevOps specialists over 4–5 months. While exact costs depend on final scope and environment nuances, we’ll provide a detailed budget estimate during our discovery workshop. Past multi-cloud data modernization initiatives often reflect a similar resource investment profile.
4. Next Steps
1. Review this Draft: Let me know any adjustments or additional details you need.
2. Schedule the Discovery Workshop: Click the button on your personalized page to lock in dates or confirm times directly here.
3. Finalize Scope & Budget: In the workshop, we’ll refine requirements, present a firm budget estimate and agree on deliverables.
Looking forward to working together to make your Iceberg deployment a success!