Trends and Emerging Technologies in Data Analytics
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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Podcasts about Technology
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.
New Stories from the IT Trenches
Making the World's AWS Bills Less Daunting
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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Employing Foundational Tools to Implement Unified Solutions in IT
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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Leadership Tips: Keeping Data Teams Focused & Engaged
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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Making Sense of Data Quality Amongst Current Seasonality & Uncertainty
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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Musings on Data Lakes, Computer Science, AI & More
When it comes to building new products, there’s a fine line between which pieces of the puzzle should be owned by humans with deep domain knowledge, and which aspects can or should be automated through AI. How far can the boundary be pushed?
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