Hosting an Entire Open Lakehouse on Port 8080
Most of my job, at least the part people see, is running Spark code in front of other people and promising it'll work. The catch is that I almost ne…
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Most of my job, at least the part people see, is running Spark code in front of other people and promising it'll work. The catch is that I almost ne…
I spent the last few months tuning a production pipeline on AWS Glue and PySpark : Oracle to S3 ingestion, then packaging, encryption, and transfer…
Microsoft Fabric has extended customer-managed key (CMK) encryption to cover temporary data generated during Spark job execution. This is not a mino…
Когда вышел DuckDB 1.0, я написал статью Всё что нужно знать про DuckDB . Теперь вышел DuckLake v1.0 — LakeHouse-формат из той же экосистемы. Это от…
Kubernetes незаметно стал платформой по умолчанию для ИИ и машинного обучения. Запускаете ли вы серверы notebook-ов для дата-сайентистов, планируете…
The problem with "just add more workers" Most Spark performance issues on Databricks aren't solved by scaling the cluster — they're caused by shuffl…
If you're building a data platform on Azure in 2026, you're going to be asked this question: Azure Databricks or Microsoft Fabric? Both run on Delta…
Raw data doesn't win model competitions. Features do. And when your raw data is tens of billions of rows sitting across multiple sources, you can't…
Building point-in-time correct, production-grade feature pipelines — from raw Kafka events to online feature serving in milliseconds, using Spark St…