Feb. 6, 2024, 5:48 p.m. | Eric Lee and Rich Ellinger

Datanami www.datanami.com

Data warehouses and data lakes serve clear and distinct purposes. Typically, data warehouses store structured data according to a predefined schema to generate fast query speeds for reporting purposes.  Data lakes, on the other hand, store and process diverse data types, including unstructured data, and support advanced analytics, data discovery, and AI and ML workloads. Read more…


The post The Data Lakehouse Is On the Horizon, But It’s Not Smooth Sailing Yet appeared first on Datanami.

advanced ai analytics clear data data lake data lakehouse data lakes data warehouse data warehouses delta-lake diverse features generate horizon hudi iceberg lakehouse ml process query reporting sailing schema serve store structured data support table format types unstructured unstructured data warehouses

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

RL Analytics - Content, Data Science Manager

@ Meta | Burlingame, CA

Research Engineer

@ BASF | Houston, TX, US, 77079