Hybrid Search with Apache Solr
Explore hybrid search in Apache Solr, combining lexical and neural approaches. Learn techniques, pros/cons, and future developments for enhanced search capabilities.
Apache Celeborn: Making Spark and Flink Faster, More Stable and More Resilient
Explore Apache Celeborn's high-performance Shuffle service for Spark and Flink, enhancing stability, performance, and cost-efficiency in large-scale data processing environments.
Spark Cloud Native Practice - Powered by Apache Kyuubi and Celeborn
Explore building enterprise-level Spark on Kubernetes cloud-native offline computing platforms using Apache Kyuubi and Celeborn. Learn architecture design, lessons, and efficiency enhancements.
State of Scala API in Apache Flink
Explore Scala API in Apache Flink 1.15+, including Scala 3 support, SBT project setup, and community wrappers. Learn to leverage Scala for efficient Flink job development and packaging.
Flink K8S Operator Autoscaling - Implementation and Best Practices
Explore Flink K8S Operator's autoscaling capabilities, origins, and future developments. Learn about resource optimization and non-stop updates in Apache Flink's stream processing ecosystem.
Real-Time Data Integration Practice Based on Flink CDC at Alibaba Cloud
Explore real-time data integration using Flink CDC, covering core design, key implementations, and Alibaba Cloud's solutions for data lake and warehouse integration scenarios.
Streaming Apache Kudu Within Apache Flink
Unlock continuous data streaming from Apache Kudu with a custom Flink source connector. Learn the design and implementation for seamless integration.
Build a Stream Graph Processing System Based on Apache Calcite and Gremlin
Explore building a streaming graph engine using Apache Calcite and Gremlin. Learn about GeaFlow's query language and its applications in real-time graph processing at Ant Group.
Statistics Canada's Disaggregated Data Action Plan: Best Practices and Analytical Guidelines
Découvrez le plan d'action de Statistique Canada sur les données désagrégées, ses meilleures pratiques et ses défis pour une recherche systématique et éthique.
Auto-regressive Approximations to Non-stationary Time Series: Inference and Applications
Explore auto-regressive approximations for non-stationary time series, covering inference methods and practical applications in forecasting, estimation, and resampling.
How Much AI is in AI Engineering
Explore the role of AI in engineering, examining its applications and limitations in modern software development practices.
Building a Real-Time Analytics Database
Odkryj tajniki tworzenia bazy danych do analityki w czasie rzeczywistym. Poznaj kluczowe koncepcje i najlepsze praktyki w tej dziedzinie.
Introduction to Federated Learning with Flower - A Hands-on Tutorial
Explore federated learning with Flower framework. Learn AI training across devices, enhancing privacy without centralizing data. Includes hands-on tutorial and insights into reshaping AI while protecting sensitive information.
AI and Machine Learning in Single Cell Genomics - Day 2
Explore cutting-edge single-cell genomics research, featuring expert talks on spatial transcriptomics, multi-omics, and bioinformatics from leading institutions in Atlanta and across America.
AWSOM24 Conference - AI and Machine Learning in Single Cell Genomics
Explore cutting-edge single-cell genomics research with expert talks on bioinformatics, experimental applications, and translational studies in this comprehensive workshop from leading institutions.
Cloud Agnostic Data Platform with DBT, Trino, Iceberg and MinIO
Explore a hands-on, cloud-agnostic data pipeline using TrinoDB, DBT, MinIO, and Apache Iceberg for scalable and lightweight analytics, suitable for both cloud and on-premise solutions.
The Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments
Explore the use of lexical meters to measure social and cultural phenomena through social media and text analysis, uncovering insights into human behavior and storytelling.
Visual Data Analytics - A Short Tutorial
Explore visual data analytics techniques for large datasets, bridging data mining and HCI to solve real-world problems with scalable interactive tools.
Mathematics for Deep Neural Networks: Introduction - Lecture 1 of 5
Explore mathematical foundations of deep neural networks, including algorithms, data fitting, and theoretical approaches in this comprehensive overview.
Extending Weak Supervision Beyond Classification - New Research Insights
Explore groundbreaking research extending weak supervision to new task types, including ranking, and its potential impact on AGI superalignment.
How AI Impacts the Insurance Industry Today
Explore AI's impact on insurance, addressing data challenges and LLM applications. Learn how Snorkel's approach enhances datasets and satisfies regulators in enterprise AI implementation.