Tag:Apache Iceberg
Articles tagged "Apache Iceberg", page 12.
- 4 MIN READ•Mar 7, 2026
What is Apache Arrow? Erasing the Serialization Tax
If you pull a million records from a database into a Python notebook, the query runs instantly, but the transfer feels endlessly slow. Your compute en...
data lakehouseapache icebergapache parquet - 5 MIN READ•Mar 7, 2026
What is Apache Iceberg? The Table Format Revolution
If you drop ten thousand Parquet files into an S3 bucket, you have a data swamp. You do not have a database. To run SQL queries against those files sa...
data lakehouseapache icebergapache parquet - 4 MIN READ•Mar 7, 2026
What is Apache Parquet? Columns, Encoding, and Performance
If you ask a data analyst to calculate the average transaction amount for the month of July using a massive CSV file, the compute engine must read eve...
data lakehouseapache icebergapache parquet - 21 MIN READ•Mar 7, 2026
What is Apache Polaris? Unifying the Iceberg Ecosystem
Treating thousands of Parquet files as a unified database table requires a brain. Apache Iceberg provides the metadata structure to do this, but.
data lakehouseapache icebergapache parquet - 6 MIN READ•Mar 7, 2026
Apache Software Foundation: History, Purpose, and Process
If you build a modern data lakehouse, you inevitably stack Apache Iceberg, Apache Parquet, and Apache Arrow. These projects dictate how you store, que...
data lakehouseapache icebergapache parquet - 4 MIN READ•Mar 7, 2026
Assembling the Apache Lakehouse: The Modular Architecture
For decades, the standard data architecture was monolithic. When you bought a data warehouse, you bought a single box where the vendor tightly coupled...
data lakehouseapache icebergapache parquet - 5 MIN READ•Feb 18, 2026
Partition and Organize Data for Performance
A table with 500 million rows takes 45 seconds to query. After partitioning it by date, the same query : filtering on a single day, returns in 2 seconds.
data engineeringbest practicespartitioning - 4 MIN READ•Feb 18, 2026
Schema Evolution Without Breaking Consumers
A source team renames a column from `user_id` to `customer_id`. Twelve hours later, five dashboards show blank values, two ML pipelines fail, and the data en...
data engineeringbest practicesschema evolution - 5 MIN READ•Feb 18, 2026
Data Modeling for the Lakehouse: What Changes
Traditional data modeling assumed you controlled the database. You defined schemas up front, enforced foreign keys at write time, and optimized with indexes....
data modelingdata engineeringdata lakehouse - 8 MIN READ•Feb 13, 2026
A 2026 Introduction to Apache Iceberg
An updated introduction to Apache Iceberg
data lakehousedata engineeringapache iceberg - 7 MIN READ•Jan 15, 2026
Building Pangolin - My Holiday Break, an AI IDE, and a Lakehouse Catalog for the Curious
A personal story of how I built Pangolin Catalog over a holiday break using an AI-powered IDE.
data lakehousedata engineeringapache iceberg - 7 MIN READ•Dec 29, 2025
2025 Year in Review Apache Iceberg, Polaris, Parquet, and Arrow
A look back at key developments in Apache Iceberg, Polaris, Parquet, and Arrow in 2025.
data lakehousedata engineeringapache iceberg