Tampa Devs

Join us for a delightful social gathering at the renovated Armature Works, where you can enjoy drinks, food, and friendly conversations. Whether you're new to the area or a long-time resident, this event is a fantastic opportunity to meet new people and expand your social circle.

About Armature Works:

Once a streetcar warehouse, Armature Works has been transformed into a bustling hub featuring diverse food stalls, bars, and recreational spaces. It's the perfect spot to unwind, try new cuisines, and connect with others. Situated on the north side of the street are even more restaurants to explore, and the Tampa Riverwalk's north terminal begins right here!

Meeting Spot:

Find us outdoors on the green lawn near the chess/checker courts to avoid any issues with security. In case of inclement weather, we will move indoors but maintain a distance from the doors.

Parking Information:

Free side street parking is available to the north and east of Armature Works, which should be mostly accessible on a Wednesday. If paid parking is necessary, the cost is generally $5 to $10.

Don't miss this chance to mingle, share experiences, and create lasting connections at the vibrant Armature Works. We can't wait to see you there!

TBD - Powered by databricks!

Data is the secret sauce that we use to measure impact and drive success at our companies. We hoard as much of it as we can with the goals to make sense of it and extract value. But delivering on that promise isn't so simple. If data science is where the data is analyzed, data engineering is how it gets there.

Join Rich Winslow, CTO at Tetricus Labs, and a data engineer/scientist with 20 years of experience handling and managing data, to learn how to approach data engineering problems practically and ask the right questions. You'll also hear his personal anecdotes that drive home what can go right and wrong when deploying your own solutions.

Who should attend: Anyone who works with data and wants to get a better understanding of how to create value from raw information.

Why attend: There are many tools, books, and resources out there on solutions to data engineering problems, but few to no resources on how to think about and approach those problems. This will give you a foundation to start from so you ask the right questions and look for the right solutions.