Alex Merced Tutorialshandbook

775 tutorials · free to read

A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

Browse by topic

All topics

Latest tutorials

Page 21 of 130
  1. 01Running an Apache Iceberg Lakehouse With No Internet ConnectionA practical guide to deploying an Iceberg lakehouse in air-gapped environments: component choices, artifact pipelines, identity without a cloud, and the operational realities that surprise teams.Apache IcebergJul 28, 2026
  2. 02When the Query Optimizer Starts Managing Its Own MaterializationsAutonomous materialized view management replaces quarterly review meetings with workload-driven scoring, and it's essential when AI agents generate unpredictable query patterns.Apache IcebergJul 28, 2026
  3. 03Why AI Agents Fail on Raw Data, and What to Give Them InsteadAgents fail on raw lake data because business rules live in people's heads. Data products with semantic contracts fix this at the source.Data EngineeringJul 28, 2026
  4. 04Why Iceberg V4 Wants to Retire Equality Deletes, and What Streaming Teams Should Do About ItEquality deletes made streaming upserts into Iceberg practical at the cost of read performance. V4 proposes retiring them in favor of deletion vectors with an async conversion path.Apache IcebergJul 28, 2026
  5. 05The Five Layers Between Your Lakehouse and a Trustworthy AgentAgent reliability is a property of the stack the model sits on. Five layers with distinct owners and failure modes turn the agent is unreliable into a specific diagnosis.AI & AgentsJul 28, 2026
  6. 06Apache Fluss and Kafka Solve Different Problems in an Iceberg PipelineFluss puts a columnar, indexed hot tier between Kafka and Iceberg. Here's what it changes structurally, what Kafka still does better, and how to benchmark the comparison yourself.Apache IcebergJul 28, 2026