Impala Discovers Iceberg Metadata Tables
Discover how Impala integrates with Apache Iceberg metadata tables to enhance data lake querying capabilities and improve performance in modern data architectures.
Efficiently Managing and Optimizing Apache Iceberg with Apache Amoro
Discover how to optimize Apache Iceberg data lakes using Apache Amoro, exploring efficient management techniques and performance enhancements for large-scale data operations.
Treatment Effect Estimation for User Interest Exploration on Recommender Systems
Explore advanced techniques for estimating treatment effects in recommender systems, focusing on user interest exploration and long-term session recommendations.
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy
Explore advanced techniques for optimizing recommender systems through user-oriented exploration policies, focusing on enhancing long-term performance and session-based recommendations.
Disentangling ID and Modality Effects for Session-based Recommendation
Explore advanced techniques for disentangling identity and modality effects in session-based recommendation systems, focusing on long-term user behavior analysis and pattern recognition.
Generative AI Risks, Benefits, and Governance
Explore the dual nature of Generative AI through a comprehensive analysis of its benefits, risks, and governance frameworks from an industry expert's perspective.
Cross Generative AI: New Opportunities for AI in Customer Service
Explore how Cross-Generative AI revolutionizes customer service by combining human capabilities with AI, driving improved productivity, satisfaction, and cost optimization through integrated analytics.
Analytics and Real-time Database Workloads: Combining OLTP and OLAP Systems
Explore strategies for optimizing concurrent OLAP and OLTP workloads, focusing on ScyllaDB's workload prioritization features to achieve harmonious performance in distributed systems.
Data as Code - Project Nessie and Git-like Experience for Apache Iceberg Tables
Discover how Project Nessie enables multi-table transactions and Git-like workflows for Apache Iceberg tables, revolutionizing data lakehouse management and engineering practices.
Open Formats: The Happy Accident Disrupting the Data Industry
Discover how open table formats like Apache Iceberg are revolutionizing data accessibility, breaking vendor lock-in, and enabling shared analytics across multiple query engines.
CICD Pipelines for dbt - Choosing Between DIY and Cloud Solutions
Explore the trade-offs between building custom CICD pipelines for dbt projects versus using dbt Cloud's built-in solutions, focusing on Slim CI and documentation deployment strategies.
Memories Are Driving Big Architectural Changes in Computing Systems
Explore the rapid evolution of memory technologies and their impact on computing architecture, from CXL and HBM to emerging solutions like MRAM and Processing in Memory, shaping the future of AI and data processing.
Simplified Namespace Management Using CDMI and Open Standards
Discover how to simplify complex namespace management using SNIA's CDMI open standard, covering discovery, introspection, exports, and imports across distributed systems and multiple protocols.
Scaling Management of Storage and Fabrics in Composable Disaggregated Infrastructures
Explore standards-based solutions for managing composable infrastructures, focusing on DMTF, SNIA, OFA, and CXL™ collaboration for efficient storage and fabric management at scale.
UCIe: An Open Standard for Package-Level Innovations in Computing Systems
Explore UCIe open standard for package-level innovations, covering key metrics, adoption criteria, and usage models for high-performance computing and heterogeneous processing integration.
VMware Memory Vision for Real-World Applications - Memory Tiering and CXL Implementation
Explore VMware's memory innovations journey, from persistent memory to CXL technology, focusing on performance improvements, TCO reduction, and real-world applications in mission-critical databases and AI/ML workloads.
The Evolution of Compute: From Princeton Architecture to Computational Storage
Explore the evolution of computer architecture from storage perspective, covering advances from von Neumann to modern computational storage and CXL technology.
Fabric Attached Memory: Hardware and Software Architecture for HPC Systems
Explore fabric-attached memory architecture and software solutions for handling large datasets in HPC clusters, focusing on AI and data analytics workloads using CXL and Arkouda-based applications.
Efficiency of Data-Centric Computing: Integrating Compute and Storage Systems
Explore how data-centric computing and federated data processing optimize AI workloads by moving computation closer to storage, reducing latency and improving system efficiency for next-gen applications.
Overcoming Real-World Challenges Between Data and AI Infrastructure
Explore infrastructure innovations for managing AI workloads, optimizing data processing, and achieving lower latency in real-time analytics and predictive modeling across industries.
Compute, Memory, and Storage: Optimized Configurations for a New Era of Workloads
Explore modern infrastructure optimization strategies for cloud-to-edge applications, covering UCIe compute, CXL memory pooling, and advanced storage configurations for real-time decision-making requirements.