All Hands on Data #72
Tired of the same old haunted houses and pumpkin patches already? Dive into these data articles to add a refreshing twist to your spooky season.
Why Data Strategy Comes Before AI Strategy
While everyone is focused on integrating generative AI into their applications, the author highlights the importance of focusing on well-established data management practices in order to facilitate this. If you have siloed, non-secure, messy data, you're going to train an incomplete, risky, and erroneous chatbot. Let's not do that. - John Forstmeier
Tips for Successfully Navigating Beginner Data Science Job Interviews
New to the data space? Trying to get your first job out of college or bootcamp? This is the article for you. Rosidi gives a high level study guide to help you prep for your interviews! - Katt Baum
How will the Big Data market evolve in the future?
This article offers a comprehensive dive into the intersection of big data and AI, highlighting the major technological advancements and their economic implications. It underscores the rising demand for data specialists, provides guidance for individuals seeking a career in the field, and touches on the ethical considerations of AI. - Jon Davidson
Is Data Democratization Overhyped?
My first introduction to "data democratization" was on the hype train like everyone else, but while I was in a position without access to data or even a care to ask for it. Now that I have control over where and how data is used, I think the idea is solid, but it should be implemented in a "self service" model pushed by the cultural shift to use data. Designing data systems with an openness objective but access requests for usage can be a good middle ground between full availability and uninterested untrained users. - Eric Elsken
How will the Big Data market evolve in the future?
Recent AI advancements are reshaping big data, affecting jobs, data management, and organizations. Breakthroughs driven by web data tech have made complex ML models accessible, specialized, and cost-effective. Key trends include powerful GPUs for parallel processing and the rise of MLops. High-value tech acquisitions signal big data's growth potential, but ethical concerns drive regulatory action. Demand for data specialists, like data engineers and MLops engineers, is surging due to AI tools and data democratization. - Reed Cowan
SQL cookbook for dbt: Transforming Big Data with Incremental Models
This veers a bit more complex than most articles that I submit for AHoD. However, we have gotten a lot of questions lately about incremental models during demos at Shipyard, so I thought it was a perfect fit. Throw in a star schema and some Jinja, and I would call this an all-star article. Check it out! - Steven Johnson