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Articole: 6

  1. 66% of Demand Series Were Unforecastable. I Found Out Before Training a Single Model

    (Kozlov.ski)

    A client handed me 1.5M rows of POS data and asked for daily demand forecasts.

  2. Activity Schema: The Data Model That Fixed My QA Debugging

    (Kozlov.ski)

    One table.

  3. Decision Making Under Uncertainty

    (Kozlov.ski)

    When should you explore vs. exploit?

  4. How to Set Up Mautic 5.x on Kubernetes: A Step-by-Step Guide

    (Kozlov.ski)

    A step-by-step guide to deploying Mautic 5.x on Kubernetes with Helm, including the background job architecture data engineers need to understand for reliable integrations.

  5. Developers Guide to Data Lakehouse with Apache Iceberg

    (Kozlov.ski)

    A hands-on guide to building a Data Lakehouse with Apache Iceberg.

  6. From Ingestion to Insight: Creating a Budget-Friendly Data Lake with AWS

    (Kozlov.ski)

    Build a serverless, cost-efficient data lake on AWS using Kinesis Firehose, S3, Glue, and Athena.