路 Justin B. 路 Historical Big Data
Kafka in 2016: Early Days of Stream Processing
Exploring the early challenges of implementing Apache Kafka for real-time data streaming in 2016, and how stream processing has evolved to meet modern demands.
Historical Big Data
- 路 Justin B. 路 Historical Big Data
The Reality of Data Science in the Era of Big Data - Circa 2010
A candid reflection on the realities of early data science work in 2010, where cross-functional challenges and data engineering often overshadowed algorithmic sophistication.
- 路 Justin B. 路 Historical Big Data
Hadoop in 2013: The Promise and Perils of Big Data Processing
A retrospective look at Hadoop deployment challenges from 2013, examining how the ecosystem has evolved and what lessons remain valuable for modern data platforms.
- 路 Justin B. 路 Historical Big Data
Cassandra in 2012: Lessons Learned and Modern Perspectives
Reflecting on Cassandra deployment challenges from 2012, with insights on how the landscape has evolved and what remains relevant today.