Feb. 25, 2022, 11 a.m. | Martin Heller

InfoWorld Analytics www.infoworld.com



Saving all of your data in a data warehouse and analyzing it using a nightly batch process is no longer sufficient to monitor and manage a business or process in a timely fashion. Instead, you should perform simple real-time analysis of data streams in addition to saving the data for later in-depth analysis.

Apache Kafka, originally developed at LinkedIn, is one of the most mature platforms for event streaming. Adjuncts to Kafka include Apache Flink, Apache Samza, Apache …

analytics apache apache kafka event kafka software development streaming

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Associate (Data Science/Information Engineering/Applied Mathematics/Information Technology)

@ Nanyang Technological University | NTU Main Campus, Singapore

Associate Director of Data Science and Analytics

@ Penn State University | Penn State University Park

Student Worker- Data Scientist

@ TransUnion | Israel - Tel Aviv

Vice President - Customer Segment Analytics Data Science Lead

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India

Middle/Senior Data Engineer

@ Devexperts | Sofia, Bulgaria