All Hands on Data #74
Whether you like to use Rust, snow, or bricks to work with your data, this week's AHoD has something for you. Check it out below!
Rust is the best language for data infra
Although we've built out Shipyard in Go, I will definitely give props to the author on his dive into Rust as the tool of choice for data infrastructure. It touches on some technical aspects, without getting too deep, and points to things like its safety, data types, and ecosystem as strong positives for the language. If you're interested in trying out Rust, and cozying up with Ferris the crab, take a read! - John Forstmeier
The digital evolution in aviation: how big data and analytics are transforming the industry
Are you like me and love to travel, but hate long security lines and flight delays? This article goes into detail about how critical data is for the improvement of airlines and airport operations. Data is used to predict maintenance plans, real-time air traffic which will hopefully decrease delays and create more efficient routes. AI and machine learning are also leading these improvements in the airline industry. Fingers crossed that data continues to evolve and be used to make airline travel all the better! - Reed Cowan
10 Skills That Every Data Engineer Should Have
This is a really thorough yet concise list of great skills for aspiring data engineers or data engineers looking to expand their skillset - Angel Catalan
Creating New Data Scientists in the Age of Remote Work
While Kirmer focuses on the experiences of data scientists, the take-aways seem applicable to all fields that have shifted to having more remote workers. Effectively mentoring the upcoming experts any field seems to be more challenging without as much face-to-face time. Conveying the norms, skills, and networks that make an inexperienced data scientist thrive requires much more focus and intention in fully remote or hybrid environments. - Katt Baum
The Truth about Databricks vs Snowflake
Snowflake and Databricks are two of the largest players in the game, and there seems to be a heated debate amongst the data community about which is best. It is important to note that at their core, they serve very different purposes; Databricks is best suited for leveraging Spark and ML at scale, whereas Snowflake is best suited for a scalable data warehouse solution. This article provides some good insight into both tools - Wes Poulsen