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.

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  1. 01Storage-Partitioned Joins and the Bucket TransformHow the spec-defined bucket transform lets engines skip the shuffle in joins, and how to set it up and keep it engaged in Spark.
  2. 02Schema Registries and Event Schemas: Avro, Protobuf, and JSON Schema on the Way Into the LakehouseHow Avro, Protobuf, and JSON Schema evolve through a registry, and how that maps to the schema evolution rules of Iceberg.
  3. 03Will AI Replace Data Engineers?What the evidence shows about whether AI replaces data engineers, which parts of the job compress, and which parts do not.
  4. 04Synthetic Data in the Lakehouse: Generation, Governance, and TestingWhat synthetic data in a lakehouse is for, the generation methods, how to preserve fidelity, and where synthetic tables belong.
  5. 05Agent-Driven Storage Tiering for Apache Iceberg: Moving Cold Data Without Breaking QueriesA background agent can move cold Iceberg partitions to cheaper tiers without breaking live queries. Heatmaps, path-safe moves, and restore paths.
  6. 06Securing the Agentic Lakehouse Gateway: Preventing Prompt Injection and Data ExfiltrationAgentic lakehouse gateways face prompt injection and exfiltration through query results. A threat model and defenses for the layer in front of data.