Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. What is a Data Mesh and how does it work? The Data Mesh architecture is based on four core principles: scalability, resilience, elasticity, and autonomy.

Architecture 52

Architecture Generalist Government Datasets 52

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Low Maintenance.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Rockset

DECEMBER 9, 2021

Real-time insights delivered straight to users, i.e. the modern real-time data stack. That makes it very difficult for the data warehouse to stay synced in real-time with the operational database. Out-of-order event streams. With real-time streams, data can arrive out of order (in time), or be re-sent, resulting in duplicates.

Transportation 52

Transportation BI SQL Data Warehouse 52