Four Technical Value Drivers of a Data Lakehouse with Iceberg
Offered By: The ASF via YouTube
Course Description
Overview
Explore the four technical value drivers of data lakehouses and discover how Apache Iceberg enhances these use cases in this 21-minute conference talk. Dive into the growing popularity of lakehouse architecture and its significance for data practitioners, including data engineers, scientists, business analysts, and machine learning professionals. Learn from David Dichmann, a seasoned expert with over 30 years of experience in data management and modern data architectures, as he explains Iceberg's unique capabilities and their role in driving lakehouse adoption. Gain valuable insights into how Iceberg is becoming synonymous with lakehouse architecture and its potential to transform data into actionable insights for product and market acceleration.
Syllabus
Four Technical Value Drivers of A Data Lake House with Iceberg
Taught by
The ASF
Related Courses
Building Modern Data Streaming Apps with Open SourceLinux Foundation via YouTube How to Stabilize a GenAI-First Modern Data LakeHouse - Provisioning 20,000 Ephemeral Data Lakes per Year
CNCF [Cloud Native Computing Foundation] via YouTube Data Storage and Queries
DeepLearning.AI via Coursera Delivering Portability to Open Data Lakes with Delta Lake UniForm
Databricks via YouTube Fast Copy-On-Write in Apache Parquet for Data Lakehouse Upserts
Databricks via YouTube