Fonti

Fonti autorevoli

Questo knowledge pack è fondato sulle seguenti fonti autorevoli e primarie. Ognuna è stata usata per verificare affermazioni fattuali su formati, motori, semantica e pattern. Le fonti a monte mantengono le proprie licenze; verifica le affermazioni critiche sulla documentazione primaria prima di farvi affidamento in produzione.

Motori e framework di elaborazione

  • Apache Spark Documentation - https://spark.apache.org/docs/latest/
  • Apache Spark Structured Streaming Programming Guide - https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
  • Apache Flink Documentation - https://nightlies.apache.org/flink/flink-docs-stable/
  • Apache Kafka Documentation - https://kafka.apache.org/documentation/
  • Apache Airflow Documentation - https://airflow.apache.org/docs/
  • Trino Documentation - https://trino.io/docs/current/

Table format e storage

  • Apache Parquet - https://parquet.apache.org/docs/
  • Apache Iceberg - https://iceberg.apache.org/docs/latest/
  • Delta Lake Documentation - https://docs.delta.io/latest/index.html
  • Apache Hudi - https://hudi.apache.org/docs/overview/
  • Apache Avro Specification - https://avro.apache.org/docs/

Trasformazione, qualità e CDC

  • dbt Documentation - https://docs.getdbt.com/docs/introduction
  • Great Expectations Documentation - https://docs.greatexpectations.io/docs/
  • Debezium Documentation - https://debezium.io/documentation/reference/stable/index.html

Warehouse e piattaforme cloud

  • Google BigQuery Documentation - https://cloud.google.com/bigquery/docs
  • Snowflake Documentation - https://docs.snowflake.com/
  • Amazon Redshift Documentation - https://docs.aws.amazon.com/redshift/
  • Databricks Lakehouse Documentation - https://docs.databricks.com/

Modellazione, architettura e concetti

  • Kimball Group - Dimensional Modeling Techniques - https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/kimball-techniques/dimensional-modeling-techniques/
  • Martin Kleppmann, "Designing Data-Intensive Applications" (O'Reilly) - https://dataintensive.net/
  • Data Mesh (Zhamak Dehghani / martinfowler.com) - https://martinfowler.com/articles/data-mesh-principles.html
  • The Streaming Systems book (Akidau et al.) - https://www.oreilly.com/library/view/streaming-systems/9781491983867/
  • DataHub Project - https://datahubproject.io/docs/

Governance e privacy

  • GDPR - Testo Ufficiale (EUR-Lex Regolamento 2016/679) - https://eur-lex.europa.eu/eli/reg/2016/679/oj