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How data actually moves

A seven-part series for analysts who inherit pipelines: path, latency, storage homes, orchestration, dbt concepts, environments, and observability.

  1. 1 Sources, land, transform, serve Inherited a broken dashboard number? Map data from sources through land, transform, and serve so you can debug the path, not the logos. Part 1 of How data actually moves for analysts who inherit pipelines. Scheduled · September 2, 2026
  2. 2 Batch vs streaming in plain English Real time is a latency budget, not a vibe. Learn batch, streaming, and micro-batch in plain English so you know when yesterday is fine, when minutes matter, and when delay truly changes outcomes for your team. Scheduled · September 3, 2026
  3. 3 Warehouses vs lakes vs just a database App database, warehouse, or lake? Walk a plain decision tree for where data should live so product traffic, cheap history, and certified analytics stop fighting over one system. Part 3 of How data actually moves. Scheduled · September 4, 2026
  4. 4 Orchestration in one metaphor Orchestration is kitchen management for data: schedules, dependencies, and retries. Learn the Airflow and dbt mental models so broken morning numbers point to a clear task, not a vague dashboard crisis for your whole team. Scheduled · September 5, 2026
  5. 5 What is dbt (conceptually)? dbt is not magic BI. This guide explains SQL models, tests, and docs, plus staging, intermediate, and marts layers, so analysts who inherit warehouse transforms know what the folders mean and why they should care. Scheduled · September 6, 2026
  6. 6 Environments: dev, stage, and prod Laptop truth is not production truth. Learn what dev, stage, and prod mean for data work, a simple promotion path from notebook to trusted table, secrets hygiene, and who should be allowed to write production. Scheduled · September 7, 2026
  7. 7 Observability for pipelines Pipelines need more than green jobs. Learn freshness, volume, schema drift, and tests on a simple red, yellow, and green board, who gets paged when things break, plus a full series recap of How data actually moves. Scheduled · September 8, 2026