Analytic Access

Our client Dremio's Andrew C. Madson, sits down with AI‐TechPark to share his thoughts about #dataengineering, #AI, and the connection between #datalakehouses and #apacheiceberg. https://lnkd.in/gQPJP5rg

Hey, Data Analysts! You should learn SQL. If I were you, I'd check out Zach Morris Wilson's free data engineering BootCamp on YouTube. Thank me later. #dataanalytics #sql #dataengineering

I recently sat down with ?? Mark Freeman II on the Insights x Design podcast, and he did not disappoint! Here's what you can expect in IxD Ep. 30 Watch here - https://lnkd.in/gTAdKahN ?? What should entrepreneurs consider when deciding to join or start a new venture? ?? What motivated Mark to take risks and join untested startups? ?? What are some effective ways to rebuild confidence after a setback in one's career? ?? What role does metadata play in the emerging trends of data technology? Let me know what you think! #dataanalytics #dataengineering #ai Michael Madson

Check this out Alex Merced and my most recent course on LinkedIn Learning presented by Dremio. I have made it free for you with the link below. #iceberg #apache #dataengineering

We sat down with Hugo Lu to learn more about his experience working in data and founding the Orchestra. See the full interview here - https://lnkd.in/g2AM67vu #dataanalytics #dataengineering #datascience

As data environments grow increasingly complex, domain-driven design continues to serve as a critical framework for enabling organizations to refine and adapt their data strategies, ensuring a competitive edge in a data-centric world. Read more from Dremio's Andrew C. Madson in this article from SD Times: ?? https://lnkd.in/e7wfGqZE

?? Unlocking the Power of Visual Data Communication ?? In our data-driven world, effective visualization is essential, and it’s about more than just presenting numbers on a screen. Done well, it brings clarity, inspires trust, and empowers audiences to make informed decisions. Yet, poorly designed visuals can obscure meaning, create misunderstandings, or even sow distrust. Here are some guidelines. 1?? Prioritize clarity over complexity. At its core, a good visual should help viewers quickly and accurately interpret data. Visuals that overload viewers or unintentionally introduce distortions through color gradients, scales, or chart types (like pie charts or 3D effects) may cause confusion. 2?? Harness the power of processing. Our brains are wired to rapidly process broad patterns in visual data, like identifying overall trends in a scatter plot or heat map. However, detailed comparisons are slower and prone to error. Effective visuals can reduce this cognitive load by guiding viewers to focus on the right comparisons and avoid overloading them with extraneous details. 3?? Convey uncertainty with transparency. Visualizing uncertainty (such as error bars in scientific data or confidence intervals in election forecasts) is essential, especially when audiences are making decisions that hinge on data – from patients considering treatment options to citizens interpreting public policy forecasts. 4?? Make data accessible. Data visuals should be inclusive, especially considering that an estimated 4% of the global population has color-vision impairments. Thoughtful design choices, such as avoiding red-green color contrasts and allowing viewers to adjust color palettes, help ensure that all viewers can access and understand the information. Accessibility should be a fundamental aspect of the design process, not an afterthought. 5?? Design for real-world use. Visuals are powerful thinking tools, not just static presentations. They’re used across disciplines – from classrooms and newsrooms to boardrooms and medical offices – each setting with its unique needs and audiences. Designing in ways that respect these varied contexts maximizes their impact and relevance. Whether you’re communicating health statistics, scientific research, or business metrics, embracing these principles can transform visuals from mere displays of data into powerful tools for insight and action. #DataVisualization #DataScience #Communication #UXDesign #PsychologicalScience #PublicPolicy #Inclusion #Transparency

Thanks for having me speak, AI Summit Vancouver ?? I had a blast representing Dremio to talk about how Apache Iceberg data products enable AI systems! This was an amazing group of attendees and speakers. This is the most popular presentation that I give. DM me if you'd like me to speak to your group ?? I'll wear my Iceberg t-shirt! Happy Learning! #dataproducts #dataanalytics #dataengineering

AI ready data with Apache Iceberg with Andrew C. Madson #VanAiSummit2024

Hey, SLC Friends! Are you attending KubeCon/ Cloud Native Computing Foundation (CNCF) in Salt Lake City? Dremio is sponsoring the Modern Data Infrastructure Happy Hour on November 14 with TiDB, powered by PingCAP and Dragonfly. We’re bringing together data engineers, DevOps experts, platform engineers, and infrastructure pros to dive into the latest trends in modern data infrastructure. Expect a relaxed atmosphere with a buffet, a couple of short sponsor pitches, and plenty of time to chat with like-minded peers shaping the future of tech. Register ?? https://lu.ma/xevt2ll2 Will I see you there? #dataengineering #moderndatastack #dataanalytics