SDO Intermission - Happy Holidays

Hey Everyone, happy holidays and thank you so much for making the first ten interviews of the Scaling DataOps Newsletter a huge success! It’s always scary to try something new, but the feedback from you all has made it clear that I need to double down on this newsletter in 2023.

I will be taking a brief break to spend time with family until January 4th, but below are some new things to look forward to.

Coming soon:

• We are taking the Scaling DataOps Newsletter to a conference panel at the Data Teams Summit on January 25th!

  • Panel: What happens when your infrastructure doesn't scale anymore?

• I have three recorded interviews that I’m releasing in January:

  • Shabnam Mokhtarani - Operations Behind Emerging Data Products

  • Ahraz Husain - The Data Driving Agriculture

  • Zack Hendlin - Business Intelligence on the Edge

• I’m currently transforming the past ten interviews into a podcast form to make accessing my guests’ amazing insights easier.

I’m looking for feedback:

I’m aiming to make this newsletter extremely valuable to my amazing audience. If you have any feedback or requests, I am all ears to learn how I can make this newsletter even better for you. Please feel free to provide feedback in the comments below and fill out this single survey question.

What I’m currently reading over the holiday break:

Leah’s ProducTea Newsletter

has so much valuable information on scaling your product. Her article on product-led growth is a must-read that I share with everyone willing to listen!

The Product-led Growth Guide 2.0

Vin Vashishta

has provided me with so much sage advice throughout my data career, and I wouldn't be surprised if he has his own crystal ball to peer into the future. His article on the warning signs of a layoff is a great example of this, as he posted it in May, well before the tech layoffs impacted many people. I specifically used this article to help me navigate my latest career move.

The Warning Signs Of A Layoff

I just came across

dataengineeringdude

(Daniel Beach) today and was immensely impressed with his thorough and unbiased reviews of data vendors. Check out his review of mage.ai (I interviewed Mage on SDO 004) and specifically pay attention to the points Daniel highlights on improving the developer experience for data engineers.

Review of Mage.ai (data pipelines) for Data Engineers.

If you are an engineer, you need to start paying attention to

Aurimas Griciūnas

as he is putting out some of the best diagrams on the various technical workflows in data. This is an amazing resource if you are a visual learner like me.

SAI #09: Kafka - Use Cases, Pre Machine Learning Data Quality and more...

Joe Reis

is the catalyst that got me into data engineering and answered many of my early questions. Also, he is the co-author of the amazing O'Reilly book Fundamentals of Data Engineering. Now I don’t have to wait for his next book, as he just jumped into Substack!

Groundhog Days

Happy holidays everyone, 2023 is going to be amazing!