A software engineer explains their decision to join Decodable, a startup building a serverless real-time data platform, focusing on stream processing.
Explores why data and ML pipeline tests break incorrectly and offers strategies for writing more robust unit, schema, and integration tests.
An analysis of current trends in the Apache Kafka ecosystem, focusing on connector growth, self-service data pipelines, and stream processing adoption.
An analysis of key trends in the Apache Kafka ecosystem, including connector growth, self-service data pipelines, and stream processing adoption.
A curated collection of Apache Kafka and ksqlDB talks, including recordings, slides, and code examples for building streaming data pipelines.
Explains why Apache Airflow jobs appear to run a day late due to its scheduling logic, contrasting it with cron jobs.
A guide to using GitLab CI with Docker and the Drake build system for reproducible, cached model-fitting pipelines.
Explains how to resolve KSQL's topic conformity error when creating streams/tables, detailing partition and replica mismatch solutions.
Author's 2017 speaking schedule for tech conferences and meetups, focusing on Apache Kafka and real-time data streaming.
A tutorial on building data pipelines using Microsoft Azure Data Factory, covering ingestion, transformation, and orchestration.
