795 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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Page 9 of 133
  1. 01Will 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.
  2. 02Securing 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.
  3. 03Agent-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.
  4. 04Apache Ossie and Apache Polaris: Putting Semantic Models in the Open CatalogApache Ossie and Polaris put metric definitions in the open catalog. What the spec covers, what Polaris stores, and what is still unfinished.
  5. 05Arrow Flight SQL and ADBC: Why the Database Driver Is the Slowest Part of Your QueryJDBC and ODBC often dominate large-result time. Flight SQL and ADBC keep data columnar from server to client, with Python, Go, and Rust examples.
  6. 06FSST and ALP: The Two Encodings Fixing Parquet's Weakest Compression CasesALP and FSST target Parquet's worst cases: floats and high-cardinality strings. How they work and what they change for Iceberg tables.