Datacast: Data & Analytics At Scale podcast

#Tech #Business #Teradata

33:58

In this episode, we delve into the concept of being "qualified" in the workplace, examining who gets labeled as such, who doesn't, and the underlying reasons. We explore "competency checking"—the practice of scrutinizing individuals' abilities—and how it disproportionately affects underrepresented groups, often going unnoticed or unchallenged. Our discussion aims to redefine qualifications in a fair, equitable, and actionable manner. Our guest, Shari Dunn , is an accomplished journalist, former attorney, news anchor, CEO, university professor, and sought-after speaker. She has been recognized as Executive of the Year and a Woman of Influence, with her work appearing in Fortune Magazine, The Wall Street Journal, Ad Age, and more. Her new book, Qualified: How Competency Checking and Race Collide at Work , unpacks what it truly means to be deserving and capable—and why systemic barriers, not personal deficits, are often the real problem. Her insights challenge the narratives that hold so many of us back and offer practical solutions for building a more equitable future. Together, we can build workplaces and communities that don’t just reflect the world we live in, but the one we want to create. A world where being qualified is about recognizing the talent and potential that’s been overlooked for far too long. It’s not just about getting a seat at the table—it’s about building an entirely new table, one designed with space for all of us. Connect with Our Guest Shari Dunn Website& Book - Qualified: https://thesharidunn.com LI: https://www.linkedin.com/today/author/sharidunn TikTok: https://www.tiktok.com/@thesharidunn Related Podcast Episodes: How To Build Emotionally Mature Leaders with Dr. Christie Smith | 272 Holding It Together: Women As America's Safety Net with Jessica Calarco | 215 How To Defy Expectations with Dr. Sunita Sah | 271 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…

Datacast: Data & Analytics at Scale

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Using data and analytics to create actionable insights at scale

6 епізодів

Datacast: Data & Analytics at Scale

updated 6 років тому

Поширити

Головна серій•Feed

Using data and analytics to create actionable insights at scale

6 епізодів

#Tech #Business #Teradata

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Datacast: Data & Analytics at Scale

1
What is a Query Optimizer? 14:50

6 years тому14:50

14:50

You write a query and get data back. In between, magic happens. In this episode, we talk with Ron Luebke about the “query optimizer”—a critical component of that magic. We talk about query optimizers in general, what makes Teradata’s query optimizer a bit more magic than the rest, and how that magic gets extended beyond the relational database to other parts of a complete analytics ecosystem.…

Datacast: Data & Analytics at Scale

1
Workload Management: A Critical Aspect of Analytics at Scale 31:44

6 years тому31:44

31:44

In this episode, Carrie Ballinger introduces us to a critical requirement of managing data and analytics at scale—workload management. What is “workload management”? Why and when workload management is necessary The most important thing workload management enables How is workload management managed? Different types of workload management How workload management improves overall throughput Interesting workload management stories…

Datacast: Data & Analytics at Scale

1
Circle & Square 23:46

6 years тому23:46

23:46

“There are many types of data that have many different types of relationships, and you need to manage that data based on value.” — Rob Armstrong, Teradata This week, Rob Armstrong shares all you need to know about data management by value—in just two shapes. Links The Circle and Square, All You Need to Know About Data and Analytics [blog post]…

Datacast: Data & Analytics at Scale

1
De-Mystifying Data Science 41:31

6 years тому41:31

41:31

Our guest this week is Tim Miller , from Teradata’s Technology & Innovation Office. He was a principal in the development of the first commercial in-database data mining system, which makes him a perfect choice to provide an overview of the data science process. New to data science? There may be occasional bouts of jargon you don’t understand. If so, don’t worry! Tim (naturally) uses terminology from the data science domain, but we always bring it back to plain-English explanations. What is data science? CRISP-DM: Cross-industry standard process for data mining [ Wikipedia ] Fundamental: What is the business problem we’re trying to address? Data science is a team sport Supervised and unsupervised learning How do you decide which techniques and algorithms to use? What is analytics ops? Happiness is “in-platform analytics”…

Datacast: Data & Analytics at Scale

1
The Cloud Isn’t Magic (But It’s Kinda Magic) 33:41

6 years тому33:41

33:41

“There are things in every single company that should be done in the cloud. On the flip side of the coin, not everything belongs in the cloud.” — Marc Clark Not sure what data and analytics scenarios make the most sense to do in the cloud? Maybe more importantly, are you sure which don’t? Marc Clark, Teradata’s Director Global Sales Enablement and Strategy, shares some clarity on the cloud. What are the right use cases for cloud analytics? What are the wrong ones? What’s the best way for a company to dip their toes into cloudy waters?…

Datacast: Data & Analytics at Scale

1
The Evolution of Analytics 46:05

6 years тому46:05