Nov. 21, 2023, 5:06 p.m. | Yingjun Wu

Datanami www.datanami.com

In the fast-evolving world of data engineering, two methods of  data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a long-established model, involves accumulating data and processing it in periodic batches upon receiving user query requests. Stream processing, on the other hand, continuously performs analysis and updates Read more…


The post Batch Processing and Stream Processing: A Complementary Union for Modern Data Engineering appeared first on Datanami.

analysis batch processing data data analysis data engineering engineering features modern processing query streaming data stream processing union world

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Applied Data Scientist

@ dunnhumby | London

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV