
Explore Delta Lake's innovative approach to data management, offering enhanced reliability and performance for large-scale analytics without traditional data lake drawbacks.

Learn to create ML pipelines visually in JupyterLab with Elyra, exploring pipeline properties, components, runtime environments, and remote execution options.

Explore how table formats revolutionize data processing without altering existing systems. Learn about their impact on efficiency, interoperability, and scalability in modern data architectures.

Explore scalable real-time trade data processing using Hazelcast and FINOS Perspective. Learn to architect high-performance applications combining streaming data, reference data, and machine learning for front and back office use-cases.

Learn how RTI International uses Docker to improve human conditions through crime analytics, health economics, and machine learning applications in various research projects.

Explore Docker's role in Data Science, Machine Learning, and AI, including GPU processing techniques and Industrial AI demos, presented by experts from Baker Hughes.

Exploring Docker's role in advancing reproducible climate research, focusing on data delivery, analysis, and transparency for credible, accessible, and reusable scientific outcomes.

Explore the causes and impacts of burnout, analyze survey data, and discover strategies for promoting healthier outcomes in professional environments.

Exploring media coverage and polling in 2016 elections, discussing improvements for future reporting and predictions, and examining the role of news consumers in election years.

Explore Reddit's unique approach to fostering human connection online, its content policies, and privacy protection measures with CEO Steve Huffman in this insightful discussion.

Explore the impact of AI companions on human connection and loneliness. Interactive discussion on outsourcing emotional needs to technology and its implications for society.

Explore the impact of algorithmic bias in AI and big data on marginalized communities, discussing ethical standards, regulation, and strategies for protecting against discrimination.

Exploring innovations in computational thermodynamics for Earth sciences, focusing on democratizing thermochemical databases and enhancing solution models for improved research applications.

Hands-on workshop teaching how to create custom maps and animations using NASA's satellite imagery to visualize environmental changes, disasters, and air quality.

Explore how Apache Spark and machine learning revolutionize industries, enabling data-driven decisions and innovative products. Learn about top use cases, market dynamics, and IBM's commitment to Spark.

Explore Solr's advanced analytics capabilities, including faceted search, streaming expressions, and graph traversal, with insights on API selection for different scenarios.

Explore modern search relevance techniques beyond BM25, including machine learning and NLP. Learn to measure, fine-tune, and implement advanced methods like learning to rank and query intent classification in Apache Solr.

Learn to integrate Jupyter notebooks into high school physics classes, with insights on setting up JupyterHub and leveraging interactive tools for engaging STEM education.

Explore the process of creating Jupyter Notebook assignments for computational research methods, focusing on setting learning goals and structuring effective content.

Learn to build a robust streaming analytics stack using Kafka and Druid for real-time data processing, flexible querying, and maintaining data integrity in high-volume environments.

Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.