ByteLoom Consulting

Technical insights

Architecture and implementation notes for data and AI platforms.

Migration strategy, governance design, Spark performance and AI observability, with the trade-offs behind each decision. Written for the engineers and architects doing the work.

Featured article

Data Engineering

Migrating Legacy ETL Pipelines to Databricks: Architecture and Validation

Triage a Talend, Informatica or SSIS estate, design the lakehouse target, translate ETL semantics, and prove the result with a reconciliation framework.

16 min read

In this article

  1. 01 Inventory before you convert
  2. 02 Target architecture on the lakehouse
  3. 03 Semantics that do not map one-to-one
  4. 04 Sequencing: waves, dual-run, cutover and rollback
  5. 05 The reconciliation framework

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