MWAA Migration: Move Apache Airflow Without Relearning Lessons
An operator’s MWAA migration plan—what moves as‑is, what to redesign, exact checks, and a parallel‑run cutover with rollback. Use it in‑house or bring us in.
Choosing, modeling, and tuning a warehouse — plus keeping the bill from outgrowing the value.
An operator’s MWAA migration plan—what moves as‑is, what to redesign, exact checks, and a parallel‑run cutover with rollback. Use it in‑house or bring us in.
A practitioner’s guide to scoping, building, and rolling out an executive dashboard that leadership trusts—definitions first, charts second.
A practical path from an opaque warehouse bill to a defensible cost ledger. Concrete Snowflake and BigQuery patterns, tags, roles, reservations, and showback/chargeback.
Your pipeline is late and the bill is up. This guide shows how to rank models by critical-path impact and compute cost, then apply exact fixes with SQL and configs.
A practitioner’s guide to making Cortex Analyst reliable: semantic model design, verified queries, ambiguity handling, evaluation and rollout, and cost controls.
A practitioner’s guide to dbt state-aware orchestration in production: what it really runs, what breaks, how to measure savings, and how to roll out with guardrails.
A practitioner’s plan to migrate from Redshift to Snowflake with minimal risk: inventory, data transfer and CDC, SQL/dbt gaps, security, BI cutover, reconciliation, and decommissioning.
A practitioner’s sequence to diagnose and fix slow queries in Snowflake—spills, pruning, joins, and concurrency—plus when to resize and how to prove it.
A practitioner’s playbook to migrate stored procedures to dbt without changing the numbers. Concrete patterns, code, validation, and a safe cutover plan.
Your Cortex bill spiked or you’re about to roll it out. Here’s the fastest diagnostic and a practical cost model—tokens, serverless services, and warehouse compute—plus guardrails.
A practitioner’s program for migrating Redshift/Postgres to Snowflake or BigQuery—inventory, SQL translation, parallel-run reconciliation, cutover, and decommission.
Triage and fix slow queries on Snowflake and BigQuery. Read profiles, prune data, control joins, avoid spill, and rewrite windows—backed by production patterns.
A practitioner’s plan to build a business health dashboard that leadership actually uses—metrics, piping, dbt models, BI choices, weekly ritual, and failure modes.
A decision framework for dbt materializations that holds up in production: cost math, when views beat tables, incremental pitfalls, ephemeral tradeoffs, and safe swaps.
Stage-appropriate picks, plain-English tradeoffs, and real signals for when to add each layer of a modern data stack—without overspending or overbuilding.
A practitioner’s guide to Snowflake cost optimization: attribute spend, fix warehouse settings, prune scans with clustering/MVs, and prevent regressions.
If your dbt run is slow, start with the critical path: run_results.json, model timing, and the DAG’s longest chain. Then apply the seven fixes that actually pay off.
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