The War on Misinformation: Combating Viral Falsehoods in Public Health
Explore strategies to combat viral misinformation, focusing on vaccine skepticism and its impact on public health. Learn how data and technology can track and counter the spread of falsehoods.
Sensing the Whole - Big Data, Big Indicators and the Future of Planetary Health
Explore emerging tools like satellite imagery and analytics that reveal complex relationships between people and the planet, enabling new approaches to planetary health and social wellbeing.
Biomedical Data Sharing and Analysis at Scale
Explore cutting-edge techniques for large-scale biomedical data sharing and analysis, addressing challenges and opportunities in this rapidly evolving field of computational biology and mathematics.
Data Storage Systems - Taking a Look at Redshift, MySQL, PostgreSQL, Hadoop and Others
Explore key data storage systems like Redshift, MySQL, PostgreSQL, and Hadoop. Learn their features, pros, cons, and ideal use cases to make informed decisions for your data infrastructure needs.
Intro to Big Data, Data Science & Predictive Analytics
Explore the diverse world of big data, data science, and predictive analytics. Gain insights into subfields, real-world applications, and the components of a big data pipeline across various industries.
Spark on Kubernetes: Building an Elastic Service - Apple's Approach
Explore Apache Spark on Kubernetes, focusing on autoscaling challenges and solutions for efficient large-scale data processing in multi-tenant environments with advanced features.
Tower of Babel - Making Apache Spark, Kubeflow, and Kubernetes Play Nice
Explore how Apache Spark, Kubeflow, and Kubernetes can work together to process big data matrices, denoise medical images, and create reproducible ML pipelines for COVID research and healthcare applications.
Autoscaling Elasticsearch for Logs on Kubernetes
Explore best practices for autoscaling Elasticsearch on Kubernetes, focusing on efficient load balancing and introducing a new open-source operator for optimal performance.
The Future of Reproducible Research - Powered by Kubeflow
Explore the future of reproducible research using Kubeflow, an open-source platform that streamlines data science workflows and enhances scientific collaboration through easily shareable and replicable pipelines.
Introduction to Fluvio - The Programmable Platform for Data in Motion
Explore Fluvio, a programmable platform revolutionizing data-in-motion processing. Learn its key features and applications in modern data architectures for efficient, real-time data handling.
The Complexities and Paradoxes of Big Data for Social Good
Exploring the complexities and paradoxes of using big data for social good, featuring insights from industry experts on policy, information management, and social impact.
Evolution and Scaling of Feature Store at Uber
Explore Uber's Palette Feature Store evolution, focusing on feature sharing, cost reduction, and scalability. Learn about serving 21000+ features at 25M queries/sec with 99.999% uptime.
Beer and Big Data: A Beginner's Guide to Digital Marketing with Heineken
Explore how Heineken leverages data and mobile-first strategies to adapt to changing consumer habits and digital trends in the brewing industry.
Data Science for Business - Trends and Applications in Japan and the US
データサイエンスと機械学習の企業活用について、日米の専門家がトレンドや課題を議論。顧客理解や競争優位性獲得のための実践的な洞察を提供。
From BI to Predictive Analytics: Uncovering Insights in Accident Data - Big Data Analytics Tokyo 2017
Explore predictive analytics' evolution from BI to competitive advantage. Learn to uncover insights from accident data, assess fatality factors, and apply advanced analytics in your organization.
Big Data Outlook for 2017 and Why You Should Care
Explore key big data themes for 2017, strategies for addressing data needs, and success factors for implementing big data initiatives in various industries.
Big Data and Big Insights: People-Powered vs. Machine-Driven Analytics
Explore the power of people-driven data and big data in business success. Learn how curious leaders leverage market insights and customer needs to drive growth.
Spark, Cloud, DBT, Data Warehouses Etc. - Navdeep Kaur
Explore current trends in Data Engineering, including the shift towards new data stacks, tech used by companies, reasons for change, and the transition to data warehouses and delta lakes.
Interactive Brokers API and TradingView Charts in Python
Learn to integrate TradingView Lightweight Charts with Interactive Brokers API in Python. Build projects for data visualization, real-time updates, and automated trading with hands-on coding examples.
Tableau Data Visualization Master Tutorial
Master Tableau's data visualization tools, from basics to advanced techniques. Learn to create interactive dashboards, custom reports, and effective visualizations for impactful data analysis and presentation.
Beyond Experimental - Spark on Kubernetes
Insights on leveraging open-source tech for Apache Spark on Kubernetes, addressing challenges in large-scale production environments and evolving ML data infrastructure in the cloud.