The Four Types of Technologies You Need for Real-time Big Data Systems

Jesse+ by | Apr 26, 2018 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

Creating real-time data pipelines bring new challenges. There are new concepts and technologies that you’ll need to learn and understand. To help you understand the basic technologies you need in a real-time data pipeline, I break it down into 4 general types. These...

What Are Batch and Real-time Big Data?

Jesse+ by | Apr 24, 2018 | Blog, Business, Data Engineering, Data Engineering is hard | 2 comments

The move from batch to real-time Big Data represents change. It will entail using brand new technologies and concepts that you haven’t dealt with before. Batch Big Data Let’s start off by defining batch Big Data. For batch, all data must be there when the processing...

Data engineers vs. data scientists

Jesse+ by | Apr 11, 2018 | Blog, Business, Data Engineering, Data Engineering is hard | 1 comment

I wrote a post for the O’Reilly data blog going into my latest thoughts and views on data engineers versus data scientists. I continue on to talk about machine learning engineers.

Should You Even Do Big Data?

Jesse+ by | Mar 28, 2018 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

There’s an elephant in the room with Big Data. If an organization tries to half-ass their way through a Big Data project, they’re going to fail (usually a 5-10% odds of success). Given this really low success rate, should you even do Big Data? When I worked at a Big...

Are Your Programming Skills Ready for Big Data?

Jesse+ by | Feb 21, 2018 | Blog, Business, Data Engineering, Data Engineering is hard | 2 comments

As people start with Big Data, they go through the list of necessary skills. One of those crucial skills is to program. The question arises — how good does a person’s programming skills need to be? This is because programming skills are on a wide spectrum. There...

How Much More Complicated Is Real-Time Big Data?

Jesse+ by | Jan 24, 2018 | Blog, Business, Data Engineering, Data Engineering is hard | 0 comments

In my seminal post On Complexity in Big Data I talked about the level of complexity increase with Big Data. The post itself focused on Big Data batch systems. I didn’t really cover real-time complexity increases when dealing with Big Data. In the post, I argue that...