Keeping Things Stupidly Simple With Pulsar and Kafka

Keeping Things Stupidly Simple With Pulsar and Kafka

by Jesse Anderson | Sep 29, 2021 | Business, Data Engineering is hard | 0 comments

During my interviews for another case study in Data Teams, I was introduced to a concept I teach but hadn’t heard so brilliantly stated. The case study was with Justin Coffey and François Jehl, who were both at Criteo. Justin introduced this concept of keeping...
It’s Time to Change How We Manage Data Teams

It’s Time to Change How We Manage Data Teams

by Jesse Anderson | Feb 24, 2021 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

As a distributed systems person, I’m used to figuring out how to spread a problem out to the most number of computers possible. Spreading out a problem lets me leverage my resources far better and faster. However, we’re failing to apply this optimization...
What It Looks Like When a Team Is Missing

What It Looks Like When a Team Is Missing

by Jesse Anderson | Oct 13, 2020 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

Data teams require all of their parts to be complete and succeed. When one of the teams of a data team is missing, the other teams will suffer. Often, organizations or team members don’t understand what’s happening when a team is missing. They blame...
Announcement: Data Teams Is Out!

Announcement: Data Teams Is Out!

by Jesse Anderson | Sep 23, 2020 | Blog, Business, Data Engineering, Data Engineering is hard, Magnum Opus | 0 comments

I’m thrilled to announce that Data Teams: A unified management model for successful data-focused teams is available for purchase! My goal is to drive a real increase in the percentage of successful big data projects. Data Teams represents years of work and...
Kafka’s Got a Brand-New Poll

Kafka’s Got a Brand-New Poll

by Jesse Anderson | Sep 11, 2020 | Blog, Data Engineering, Data Engineering is hard | 0 comments

Kafka 2.0 added a new poll() method that takes a Duration as an argument. The previous poll() took a long as an argument. The differences between the two polls don’t stop there. You should know about the differences before porting your poll from a long to a...
Saving Money on Data Engineering in the Cloud

Saving Money on Data Engineering in the Cloud

by Jesse Anderson | Apr 29, 2020 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

In my last post, I gave some general suggestions on how analytics and data engineering teams should be dealing with COVID-19. Now, I want to give specific advice on how data engineering teams can reduce their cloud costs. Note: while this post focuses on cloud,...
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