The Human Element of Tech Development
Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them.
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Data Legends: Stories From The IT Trenches is a podcast for CIOs, CTOs, DevOps and SRE leaders who are stealthily shaping the success of businesses around the world. Each episode will feature a conversation with a Data Legend about their unique experiences, lessons learned, and battle scars earned as they’ve navigated the rapidly changing IT and Engineering landscape. If you want to be compelled and inspired by stories of people, processes and technologies that have banded together to manage data at scale, you’ve come to the right place.
Welcome to Data Legends!
Brought to you by ChaosSearch.
Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them.
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There is more data available than ever before, challenging organizations to change how they interact with their data so they can get the most out of it.
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In part 2 of our conversation with Wes Gelpi, Director of Research & Development at SAS, we dive into the importance and differences between data lakes, warehouses and virtualization.
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Leading a team of data and analytics professionals isn’t easy and it takes more than just understanding the goal in mind. It’s about the journey and how the people on the journey collaborate.
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As regulations around data continue to shift and companies adapt, many have struggled to find success while also keeping up with new regulatory obligations.
Uday Kamath is expertly navigating this field, leading the highly collaborative and productive data and analytics team at Smarsh as the Chief...
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Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs.
Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing...
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Whether it’s for capability or speed, your legacy systems will need to be replaced at some point. But how you handle that transition will determine your overall success.
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How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation.
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What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning.
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When providing the data to support marketing, it's important to frame and validate its quality based on whether it meets "the six C’s." Is the data clean, complete, correct, comprehensive, chosen well, and calculable?
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