Join us for an insightful Ask Me Anything (AMA) session on Declarative Pipelines — a powerful approach to simplify and optimize data workflows. Learn how to define data transformations using high-level, SQL-like semantics, reducing boilerplate code while improving performance and maintainability. Whether you're building ETL processes, feature engineering pipelines, or analytical workflows, this session will cover best practices, real-world use cases and how Declarative Pipelines can streamline your data applications. Bring your questions and discover how to make your data processing more intuitive and efficient!
talk-data.com
Speaker
Denny Lee
4
talks
PM Director, Developer Relations
Databricks
Denny Lee is a Product Management Director and Principal Developer Advocate at Databricks with deep expertise in distributed systems, AI, and data science. He is a longtime contributor to Apache Spark and MLflow and a maintainer of Unity Catalog and Delta Lake. He previously worked at Microsoft on Azure Cosmos DB, HDInsight, and SQL Server, and led data science engineering at SAP Concur. He holds a Master’s in Biomedical Informatics from OHSU and has built large-scale data platforms for healthcare and enterprise use. His technical focus includes AI, Apache Iceberg, Delta Lake, Apache Spark, ML, and genomics.
Bio from: Databricks DATA + AI Summit 2023
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Join us for an in-depth Ask Me Anything (AMA) on how Rust is revolutionizing Lakehouse formats like Delta Lake and Apache Iceberg through projects like delta-rs and iceberg-rs! Discover how Rust’s memory safety, zero-cost abstractions and fearless concurrency unlock faster development and higher-performance data operations. Whether you’re a data engineer, Rustacean or Lakehouse enthusiast, bring your questions on how Rust is shaping the future of open table formats!
Two industry veterans have been debating data architecture, tearing apart trends and tinkering with tech for decades and they’re bringing the conversation live — and you’re in control. Got a burning question about lake structures or internal performance? Worried about AI taking over the world? Want straight-talking opinions on the latest hype? Need real-world advice from the people who the experts get advice from? Want to get the juicy behind-the-scenes gossip about any announcements and shockwaves from the Keynotes? This is your chance to have your questions answered! Submit your questions ahead of time or bring them on the day — no topic is off-limits (though there's always a risk of side quests into coffee, sci-fi, or the quirks of English weather). Come for the insights, stay for the chaos.
with
Jonathan Hsieh
(LanceDB)
,
Cathy Yin
(Databricks)
,
Andrew Shieh
(Databricks)
,
Ziyi Yang
(Databricks)
,
Andy Konwinski
(Databricks)
,
Denny Lee
(Databricks)
,
Asfandyar Qureshi
(Databricks)
,
Yuki Watanabe
(Databricks)
,
Brandon Cui
(Databricks)
,
Andrew Drozdov
(Databricks)
,
Anand Kannappan
(Patronus AI)
,
Harsh Panchal
(Databricks)
,
Tomu Hirata
(Databricks)
,
Daya Khudia
(Databricks)
,
Jose Javier Gonzalez
(Databricks)
,
Jasmine Collins
(Databricks)
,
MAHESWARAN SATHIAMOORTHY
(Bespoke Labs)
,
Jonathan Chang
(Databricks)
,
Matei Zaharia
(Databricks)
,
Alexander Trott
(Databricks)
,
Tejas Sundaresan
(Databricks)
,
Pallavi Koppol
(Databricks)
,
Jonathan Frankle
(Databricks)
,
Erich Elsen
(Databricks)
,
Ivan Zhou
(Databricks)
,
Davis Blalock
,
Gayathri Murali
(META)
https://bit.ly/devconnectdais