The premier of my latest talk covering The State of Data Engineering. I go through the history of the industry to see where we’re heading. This starts with data warehousing and goes into data science. I finish off by showing how data engineering can avoid the...
A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. It’s a team that connects naturally into the constellation of the three data teams Operations team Data engineering team Data...
There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular....
The results and analysis from my 2023 Data Teams Survey left a few open questions. Let’s revisit these questions with some answers. Methodologies and Size of Company Figure 1 – Methodologies Broken Down By Size of Company Using Them We see a few commonalities...
Between January 24, 2023, and February 28, 2023, I ran a survey to get more data for my latest book Data Teams, and to update my previous survey from late 2020. Overall, we had 81 respondents. This survey was designed to get information about how management uses data...
In the beginning, there was Google. Google looked over the expanse of the growing internet and realized they’d need scalable systems. They created MapReduce and GFS in 2004. They published the papers for them in the same year. Doug Cutting took those papers and...
