April 20, 2022, 1:04 p.m. | Luuk van der Velden

Towards Data Science - Medium towardsdatascience.com

Business needs data driven insights to reach stakeholders and customers as fast as possible and with clearly defined freshness requirements. The Lambda architecture (Marz, 2015) solves these requirements by combining insights from batch processes and real-time streams into an up-to-date data product. We posit that the Lambda architecture remains a relevant approach to deliver insights for data science teams with limited engineering capacity. We expound on the creative ways to fuse batch and streaming insights and present our Azure Lambda …

azure data engineering fusion insights lambda-architecture real-time-analytics streaming stream processing

AI Research Scientist

@ Vara | Berlin, Germany and Remote

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 Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston