31 upcoming events worldwide
Data engineering conferences cover the full data stack — from streaming pipelines and data warehousing to analytics engineering and real-time BI. Whether you're working with Spark, dbt, Snowflake, Databricks, or building a modern data platform, these events are where the community meets.
Data + AI Summit (Databricks), dbt Coalesce, Big Data & AI World, and Strata Data Conference are among the leading data engineering events. PyData conferences bridge the gap between data engineering and data science.
Apache Spark, dbt, Airflow, Kafka, Flink, DuckDB, Snowflake, Databricks, Delta Lake, and Apache Iceberg are heavily featured at modern data conferences. Real-time analytics and the lakehouse architecture are dominant themes.
Yes — MLOps World, ODSC (Open Data Science Conference), and the ML tracks at Data + AI Summit specifically address ML pipelines, feature stores, model serving, and LLMOps.
Data engineering conferences focus on building reliable data pipelines and infrastructure. Analytics conferences (like Tableau Conference or Looker Join) focus more on BI, visualization, and business intelligence. Many events blend both worlds.