The Three Components of a Big Data Data Pipeline There’s a common misconception in Big Data that you only need 1 technology to do everything that’s necessary for a data pipeline – and that’s incorrect. Data Engineering != Spark The...
Small data engineering teams require different tactics. Much of my writing is geared towards larger companies and teams. How should a startup or small data engineering team in a big company be set up and work? What, if anything, should be done different? Your First...
At DataEngConf Barcelona, I premiered a new talk about the importance of creating a data engineering culture. I share what a data engineering culture is and what management needs to do to be successful with Big Data. You can download the slides from the talk here and...
There is a common misunderstanding in data engineering that you can do everything you need to create a Big Data data pipeline with SQL. This notion is being promoted by some vendors and companies. They’re wrong and you can’t do all of your data engineering...
Cloudera has merged with/purchased Hortonworks. As a former Clouderan, it’s interesting to see this move on several levels. I’m going to share my insights from the outside as a former insider. Full Disclosure: Although I’m former Cloudera, I...
A common use case for using Kafka and Pulsar is to create work queues. The two technologies offer different implementations for accomplishing this use case. I’ll discuss the ways of implementing work queues in Kafka and Pulsar as well as the relative strengths...
