Introduction to CXL Fabrics and Multi-level Switch Architecture in CXL 3.0
Dive into CXL Fabrics architecture, exploring multi-level switching, transport details, routing models, and management systems for scalable computing infrastructure up to 4,096 nodes.
Going Beyond Resilience: Pivoting Supply Chain Operations for Growth
Insights and strategies for supply chain leaders to pivot from resilience to growth, featuring Oracle's recommendations and innovative technologies for evolving operations.
Essential Tools for Machine Learning Tutorials
Learn essential tools for machine learning: virtual environments, IDEs, Ubuntu, Anaconda, and TensorFlow. Gain practical skills to set up your development environment and start your ML journey.
Building a Business with Facebook Developer Products
Global developers share insights on scaling businesses with Facebook's product suite, discussing challenges, opportunities, and advice.
Delivering Agile Methodologies and Emerging Technologies in Hostile Environments - Philly ETE 2016
Strategies for innovating in bureaucratic environments: overcoming cultural clashes, navigating regulations, and implementing agile methodologies and emerging technologies while honoring restrictions.
AI Ethics and Culture in Technology - Interview with Elizabeth Adams
Insightful discussion with AI ethics leader Elizabeth Adams on her work and upcoming keynote, plus tech news covering AWS vulnerabilities, microservices, Firecracker, and Flutter for Windows.
Doing More by Doing Less - A Loafer's Guide to Software Engineering
Discover strategies for maximizing productivity through focused work, effective delegation, and learning to say "no". Gain insights on balancing time and energy management for impactful results.
ODSC West 2015 - Cloud Native Data Science
Cloud-native design principles for data science applications: creating scalable, stateless models easily deployable in modern cloud systems. Insights on open-source platforms and best practices.
Panel- Diodes and Distribution
Experts discuss strategies for scaling projects from workshop to users, covering pitfalls, resources, and best practices in hardware distribution and manufacturing.
The Future of Money - Banking on Fintech
Explore fintech innovations in banking, financial services, insurance, and investing. Learn how startups compete with incumbents, leveraging new data sources and unencumbered by legacy systems.
Building Tools and Frameworks for Large-Scale Social Media Mining
Learn to build tools and frameworks for large-scale social media mining, focusing on creating data infrastructure for COVID-19 research using Twitter data. Gain insights on challenges, solutions, and best practices.
Why Become a Product Engineer? - With Volley and Luminai
Explore the role of product engineers in startups, their skills, career paths, and impact on product development. Gain insights from YC founders on transitioning to this dynamic position.
Data Processing Fundamentals - Extended Filtering with Multiple Datasets
Learn advanced data filtering techniques in Python, including category-based filtering, handling multiple datasets, and optimizing code with inline methods for efficient data processing.
Code Once, Use Often - Declarative Data Pipelines
Learn to build efficient, reusable data pipelines using declarative approaches. Explore techniques for reducing food waste through data-driven solutions and automation in this developer-focused session.
Boost Delta Lake Performance with Data Skipping and Z-Order
Explore data skipping and Z-ordering techniques to enhance Delta Lake performance, focusing on optimized partitioning strategies for improved read and write efficiency in large-scale data lakes.
Developing Scalable Machine Learning Pipelines for Gaming Industry
Explore scalable ML pipelines in gaming, leveraging Apache Spark for data-driven product development and improved user acquisition through advanced LTV modeling.
Delta Lake: Optimizing Merge Operations
Explore Delta Lake merge optimization techniques, including inner and full outer joins, partition pruning, and file pruning. Learn tips for handling large merges efficiently.
Presto on Apache Spark - A Tale of Two Computation Engines
Explore the integration of Presto and Spark, combining low-latency evaluation with robust execution for enhanced SQL experience in both interactive and batch use cases at Facebook scale.
Designing the Next Generation of Data Pipelines with Apache Spark - Zillow's Approach
Zillow's data engineering team shares their journey in redesigning data pipelines using Apache Spark, focusing on scalability, maintainability, and robustness while reducing code complexity.
Optimizing Catalyst Optimizer for Complex Spark Plans
Optimizing Spark's Catalyst optimizer for complex plans with thousands of operators and large case statements. Techniques include memory-efficient logging, subexpression elimination, and improved constraint propagation.
Modernizing Apache Spark 3.0 Applications - Best Practices and Optimization Techniques
Optimize legacy Spark applications for 3.0: leverage Adaptive Query Execution, columnar processing, GPU acceleration, and ML integration. Concrete examples and lessons from modernizing analytics workloads.