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A comprehensive 5-part guide on using coding agents for data science and engineering:

Overview

  • Part 1: Building Your Data Foundation - connecting to warehouses, schema knowledge, skills
  • Part 2: Ad-Hoc Analysis - product analytics, billing queries, engineering metrics
  • Part 3: Repeated Reports - weekly reports, flaky tests, SaaS replacement analysis
  • Part 4: Data Pipelines - dbt/SQLMesh transformations, incremental loads, debugging
  • Part 5: Data Migrations - schema mapping, validation, cutovers

Platform Support

Covers multiple platforms: BigQuery, Snowflake, Databricks, Redshift, ClickHouse, DuckDB, Postgres.

Files Added

  • docs/guides/data/overview.mdx - Index page
  • docs/guides/data/foundation.mdx - Part 1
  • docs/guides/data/ad-hoc-analysis.mdx - Part 2
  • docs/guides/data/repeated-reports.mdx - Part 3
  • docs/guides/data/pipelines.mdx - Part 4
  • docs/guides/data/migrations.mdx - Part 5
  • Updated docs/docs.json - Added Data Analysis group to Guides tab

A comprehensive 5-part guide on using coding agents for data science and engineering:

- Part 1: Building Your Data Foundation - connecting to warehouses, schema knowledge, skills
- Part 2: Ad-Hoc Analysis - product analytics, billing queries, engineering metrics
- Part 3: Repeated Reports - weekly reports, flaky tests, SaaS replacement analysis
- Part 4: Data Pipelines - dbt/SQLMesh transformations, incremental loads, debugging
- Part 5: Data Migrations - schema mapping, validation, cutovers

Supports multiple platforms: BigQuery, Snowflake, Databricks, Redshift, ClickHouse, DuckDB, Postgres.

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
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Overall the new docs look correct and are wired into the Guides nav; I didn’t find any P0/P1 issues to flag in the diff.

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