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Michal Milosz
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Data Engineering
6
min read
Data Warehouse vs. Data Lake vs Lakehouse: A Comprehensive Comparison of Data Management Approaches
The article compares three key data architectures: data warehouses for structured analytics, data lakes for flexible raw data storage, and lakehouse as a unified model. It highlights their strengths, limitations, and when each is the best fit for modern organizations.
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DevOps
9
min read
How to spin up to 1000 parallel Airflow 2.0 tasks in 5 minutes from nothing with the CeleryExecutor and Kubernetes
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Data Science
18
min read
Stream Processing vs. Batch Processing - A Practical Guide to Data Processing
Explore stream vs batch processing, their benefits, use cases, and technologies. Learn how to choose the right data strategy for your business needs.
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Data Engineering
13
min read
Microservices in Data Engineering: How to Break a Monolith into Smaller Parts
Discover how microservices revolutionize data engineering by replacing monolithic systems, boosting scalability, flexibility, and deployment efficiency.
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Data Science
11
min read
From Excel to Data Lake: The Evolution of Data Storage in a Modern Organization
Explore the shift from Excel to data lakes, modern storage solutions, and best practices for scalable, efficient, and innovative data management strategies.
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Data Science
12
min read
Lakehouse Federation in Databricks: A Practical Guide
Learn how Lakehouse Federation in Databricks streamlines data access, enables federated queries, reduces costs, and boosts decision-making efficiency.
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