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Hear from Charu Anchlia, Cloudera's Enterprise AI Architect, on how Cloudera's AI Studios are set up to accommodate personas at every level of experience.
What if you could analyze real-time and historical data with just a few clicks and minimal code? Whether you're a data scientist, engineer, or analyst working in Python, you don't need to be an Apache Kafka expert to unlock the power of streaming analytics. In this blog, we'll walk you through integrating Confluent Tableflow with Trino, which will enable you to query and visualize Apache Iceberg tables effortlessly in Jupyter Notebooks.
A well-designed dashboard can be the difference between decision-making at a glance — and getting lost in a sea of data. But with so many variables—users, data sources, visualizations, devices—it’s easy to end up with dashboard designs that look good but don’t deliver meaningful insights. This guide is your end-to-end playbook for creating dashboards that are not only beautiful, but also smart, scalable, and user-friendly.
“AI is the new electricity,” as Andrew Ng, Co-founder of Google Brain and Coursera, famously put it, AI is now the driving force behind unprecedented innovation, reshaping everything from healthcare to finance and beyond. All of these sectors revolve around data.
Achieving cyber resilience is a constant challenge for even the largest and most experienced organizations and IT leadership teams. Studies, including one from our partner Veeam, show +75% of organizations experienced a ransomware attack in the past year. Those that didn’t are well-aware they may be next.
Whether it’s a financial services firm or a major healthcare provider, no other technology is poised to be as transformative for businesses as artificial intelligence (AI). It is redefining how every organization approaches its data and business applications. And so, it’s within this reality that Cloudera has consistently recognized how important it is to set out a clear and actionable roadmap to tap into the potential of AI and GenAI.
Are you struggling to predict and control Snowflake costs? You're not alone—accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). Join us for this session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to remove the guesswork from forecasting costs in Snowflake. You’ll gain invaluable insights into transforming your approach to cost management from reactive to proactive. With Unravel's Data Actionability Platform, you can forecast costs precisely and take immediate action to optimize spending.
Integrating Tableflow and Iceberg tables streamlines the process of linking to external data lakes and data warehouses. Jeffrey Johnathan Jennings of signalRoom explains how this approach accelerates time to insight while ensuring a more efficient and cost-effective data architecture.