All Hands on Data #62
There is more to working in data that writing code. This week has LLMs to Data Engineering to Psychology. It's sure to help broaden your scope!
A Spotify Data Scientist’s Guide to Turning Your Insights into Impactful Actions
“Alami talks about a struggle that so many face, hard work going to waste because its value wasn't recognized. While we all hope our work will speak for itself, we often have to sell it. Alami's personal journey and learnings are insightful and can help newer data scientist's frame their work.” - Katt Baum
Conformity
“I've observed a pack mentality when it comes to choosing business tools. Whatever the reason, people continue flocking to the most popular. While conformity may work, at least short term, it eventually hurts businesses and those who chose the tools. Innovation and progress happen daily, and those who lock in and don't, minimally, keep an eye on advances risk being left behind, labeled as cost centers, and being put on the chopping block when RIFs are being considered. It's the strategic and those who are seen as business drivers who survive and thrive long term.” - Shawn Fergus
Falcon LLM: The New King of Open-Source LLMs
“It is interesting to see the rise of open source LLM's since the emergence of ChatGPT. This article is a gentle guide to get up and running with the open source Falcon LLM.” - Wes Poulsen
What is a Data Product?
“The piece goes into detail describing what, exactly, a "data product" is as well as lay out a bunch of great and actionable best practices. There's even some specifics regarding data orchestration workflows - I wonder where I could find a tool for that...” - John Forstmeier
The Importance of Data Engineering for a Profitable App Development
“With millions of apps in the market, standing out requires more than just a good idea and design. Data engineering enables businesses to harness the power of data, offering various functions such as data collection, storage, processing, analysis, reporting, and security. By partnering with a reputable data engineering service provider, businesses can benefit from expertise, niche skills, flexibility, and cost-effectiveness resulting in enhanced decision-making, personalized user experiences, improved app performance, effective monetization strategies, and improved data governance.” - Reed Cowan
Why Does Data Orchestration Exist?
“This was part one of a series that I’ve been writing on simplifying data orchestration. There’s a lot of questions asked when evaluating a new type of tool, platform or process. This article answers the very first question you should ask - why? If there’s no pain, there’s no problem, as you’ll hear some sales folks says. This article gives you the real story of an analyst experiencing the pain that data orchestration can solve. It’s written in a way that anyone in your business can understand (trust me, I had my mom read it).” - Arynn Martin-Post