<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Heretic</title><link>https://www.dataheretic.com/</link><description>Recent content on Data Heretic</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 10 May 2026 09:03:00 +0100</lastBuildDate><atom:link href="https://www.dataheretic.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Step 4: Orchestrate Your Pipelines</title><link>https://www.dataheretic.com/getting-started/orchestrate-pipelines/</link><pubDate>Sun, 10 May 2026 09:03:00 +0100</pubDate><guid>https://www.dataheretic.com/getting-started/orchestrate-pipelines/</guid><description>When cron stops being enough. How to add proper orchestration to your data stack with Dagster or Airflow — and which to pick as a startup.</description></item><item><title>Step 3: Transform Your Data with dbt</title><link>https://www.dataheretic.com/getting-started/transform-with-dbt/</link><pubDate>Sun, 10 May 2026 09:02:00 +0100</pubDate><guid>https://www.dataheretic.com/getting-started/transform-with-dbt/</guid><description>How to set up dbt for your startup, structure your models, and go from raw ingested tables to clean, tested data your team can actually use.</description></item><item><title>Step 2: Connect Your Data Sources</title><link>https://www.dataheretic.com/getting-started/connect-your-sources/</link><pubDate>Sun, 10 May 2026 09:01:00 +0100</pubDate><guid>https://www.dataheretic.com/getting-started/connect-your-sources/</guid><description>How to move data from SaaS tools and databases into your warehouse. When to use Fivetran, when to use Airbyte, and what to avoid.</description></item><item><title>Step 1: Choose a Data Warehouse</title><link>https://www.dataheretic.com/getting-started/pick-a-warehouse/</link><pubDate>Sun, 10 May 2026 09:00:00 +0100</pubDate><guid>https://www.dataheretic.com/getting-started/pick-a-warehouse/</guid><description>Snowflake, BigQuery, or Redshift — how to choose the right data warehouse for your startup without regretting it in 18 months.</description></item><item><title>Snowflake Review: Best Managed Warehouse, at a Price</title><link>https://www.dataheretic.com/posts/snowflake-review/</link><pubDate>Sun, 10 May 2026 00:00:00 +0000</pubDate><guid>https://www.dataheretic.com/posts/snowflake-review/</guid><description>Honest review of Snowflake: pricing, strengths, cost gotchas, and when to choose it over BigQuery or Redshift.</description></item><item><title>dbt vs Snowflake: Native Transformations vs the Transformation Layer</title><link>https://www.dataheretic.com/posts/dbt-vs-snowflake/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0100</pubDate><guid>https://www.dataheretic.com/posts/dbt-vs-snowflake/</guid><description>A hands-on comparison of dbt and Snowflake&amp;#39;s native transformation capabilities — when to use each, where they overlap, and how to decide.</description></item><item><title>Fivetran vs Airbyte: Which Data Pipeline Tool Is Right for Your Team?</title><link>https://www.dataheretic.com/posts/fivetran-vs-airbyte/</link><pubDate>Mon, 06 Apr 2026 17:54:20 +0100</pubDate><guid>https://www.dataheretic.com/posts/fivetran-vs-airbyte/</guid><description>Fivetran vs Airbyte compared on pricing, connectors, setup, and reliability. Honest breakdown of which teams should pick which — and why.</description></item><item><title>Best dbt Alternatives in 2026</title><link>https://www.dataheretic.com/posts/best-dbt-alternatives/</link><pubDate>Mon, 06 Apr 2026 00:07:53 +0100</pubDate><guid>https://www.dataheretic.com/posts/best-dbt-alternatives/</guid><description>The strongest dbt alternatives compared: SQLMesh, Dataform, Dagster, and Airflow. Honest assessment of when to switch and what to switch to.</description></item></channel></rss>