The Difficulty of Transitioning to Data Pipelines

The Difficulty of Transitioning to Data Pipelines

by Jesse Anderson | Jun 7, 2017 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

There’s a common difficulty that companies are having in transitioning to Big Data, especially Kafka. They’re coming from systems where everything is exposed as an RPC-esque call (remote procedure call/REST call/etc). They’re transitioning to a data...

Five Dysfunctions of a Data Engineering Team

by Jesse Anderson | May 31, 2017 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

At Strata London, I premiered a new talk based on my Data Engineering Teams book. Companies are seeing great efficiency gains and ROI from using Big Data technologies. However, the vast majority of teams fail and never get something into production. I want to prevent...
How to Evaluate an Open Source Product

How to Evaluate an Open Source Product

by Jesse Anderson | May 24, 2017 | Blog, Business, Data Engineering | 0 comments

Open source is a great way to solve problems. Mostly we focus on the open source project from a technical and architectural points of view. In this post, I’m going to talk about it from a business point of view. Sometimes you’re look through 3-10 different...
Kafka Topic Design Checklist

Kafka Topic Design Checklist

by Jesse Anderson | May 17, 2017 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

Designing data for consumption in a Kafka topic requires more forethought. Instead of the messages being a consumed from point to point, there are many different consumers. You will need to decide on: Name Schema Contents Key/Ordering Number of Partitions Number of...
The Many Meanings of Event-Driven Architecture: Kafka Edition

The Many Meanings of Event-Driven Architecture: Kafka Edition

by Jesse Anderson | May 10, 2017 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

I spoke at GOTO Chicago last week with Martin Fowler. He gave a keynote on The Many Meanings of Event-Driven Architecture. It wasn’t tied to or specific to any particular technology. In this post, I’m applying some of his points specifically to Kafka and...
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