Businesses expect more from data teams today than ever before. But as the data space continues its rapid evolution, it can be difficult to know how to build a high-performing data team. New roles are emerging and old roles are changing. Opinions about data team structures abound, and it’s not always clear how to create an organization that sets the team up for success. While change is a constant, there are things that we know work and plenty of insights to glean from the successful teams out there.
So, we’re rounding up a few experts to share their experience with us. They’ll share the lessons they’ve learned from working on and managing data teams with an emphasis on practical advice.
Diving into the world of Machine Learning is a natural next step for many companies as they build more mature data functions and seek to answer harder questions. Recent innovations in the space mean ML is no longer just for the largest, most sophisticated companies. As ML becomes more accessible and more companies explore implementation, we’re bringing you some expert insight. Join us for a live recording to learn how ML could impact your business, what getting started might look like, and where things are headed.
Some of the best technical conversations we’ve had on the show revolved around streaming data. So, we’re inviting these streaming experts back to form a streaming brain trust. Tune in to learn more about how teams are using streaming data today and what innovations are on the horizon. Best of all, you can join us live to ask your burning streaming data questions in real-time.
We talk about data quality a lot on The Data Stack Show. One guest even said “everybody has a data quality problem” and called it the next issue we have to fix. The good news? There are a lot of folks already hard at work solving the problem.
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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