Blog
Michal Milosz

Latest blog posts by Michal Milosz

Latest blog posts

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Data Engineering
6
min read

Databricks Lakebase: The Reality of Postgres inside the Lakehouse

What Databricks Lakebase really delivers: Federation vs Lakehouse Sync, copy-on-write branching for CI/CD, cold starts, token expiry and governance.
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Data Engineering
9
min read

Breaking the Last Barrier: Why We Are Building Full-Stack Web Apps Directly Inside Databricks

Databricks Apps lets data engineers build and deploy secure full-stack internal web apps inside the lakehouse, without the usual infrastructure friction.
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Data Engineering
9
min read

The Orchestration Dilemma: Driving the Engine vs. Designing the Factory

Databricks Workflows or Delta Live Tables in 2026? Compare driving the engine with designing the factory, and stop hand-wiring fragile data jobs.
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Data Engineering
10
min read

"SQL is the New Regex": Cleaning Messy Data with Databricks ai_query

Replace brittle regex and manual string parsing with Databricks ai_query, using SQL and PySpark AI functions to clean and standardize messy text data.
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Data Engineering
9
min read

The "Shift Left" Revolution: Why Your PySpark Pipelines Need Unit Tests (and How to Do It)

Shift left on data quality: unit test PySpark pipelines with modular code, local tests and CI/CD so bugs surface before they ever reach production.
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Data Engineering
6
min read

The Orchestration Dilemma: Declarative vs. Imperative Patterns in Modern Data Engineering

Declarative Delta Live Tables or imperative Databricks Workflows? How to choose an orchestration pattern that fits your data platform and your team.
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Data Engineering
8
min read

Streamlining CI/CD for Databricks Workflows with DAB Templates and Azure DevOps/GitHub Actions

Automating Databricks deployments with DAB templates and CI/CD tools ensures fast, error-free pipelines - read to learn how.
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Data Engineering
6
min read

Unity Catalog and Volumes in Databricks Explained

Unity Catalog and Volumes: a data engineer's guide to modern data governance in Databricks, covering access control, lineage, and managed storage.
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Data Engineering
16
min read

Designing Scalable Data Pipelines: A Practical Guide

Scalable data pipelines by design: learn batch, streaming, and layered architectures, with patterns and trade-offs for building reliable data systems.
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Data Engineering
10
min read

The Power of Orchestration: Managing Complex Workflows in Databricks

Master Databricks workflow orchestration – automate tasks, integrate Airflow & ADF, and optimize pipelines. Boost efficiency with dynamic scheduling!
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