
Explore Xiaomi's real-time computing platform construction, focusing on resource flexibility, cost-effectiveness, and usability. Gain insights into architecture, metadata management, and operational governance.

Explore FlinkSQL's field lineage and data permission solutions for real-time data warehouses. Learn to implement Atlas and Ranger-like capabilities without source code intrusion.

Explore Flink's latest Shuffle 3.0 architecture, featuring cloud-native design, stream-batch fusion, and adaptive capabilities for enhanced resource management and performance.

Optimize Parquet file operations for big data efficiency. Learn binary copy techniques to enhance file overwriting, merge small files, and implement column-level TTL, boosting performance 10+ times.

Explore Xiaomi's HDFS data governance practices, focusing on hot and cold data tiered storage solutions. Learn about cold data analysis, S3 integration, and future plans for optimizing data management.

Explore ByteDance's Serverless YARN solution for efficient cloud-native big data processing, improving resource utilization and enabling seamless migration of Hadoop ecosystem jobs.

Explore China Mobile's Wutong Cloud Native Analytical Database architecture, designed for large-scale, elastic, high-performance, and cost-effective data warehousing in cloud environments.
![[ko-KR] Elastic Observability를 이용한 통합 시스템 모니터링 - UbuCon Asia 2022](https://img.youtube.com/vi/O4uWhLiIZZ8/mqdefault.jpg)
MSA 환경에서 Elastic Observability를 활용한 통합 시스템 모니터링 방법과 문제 해결 과정을 Ubuntu 환경에서 시연을 통해 학습합니다.

Explore light-powered tinyML for batteryless smart sensors, covering design methodology, gesture detection, and implications for IoT. Learn about energy harvesting and sustainable machine learning solutions.

Explore column-level encryption techniques for protecting sensitive data in data lakes, including design, implementation, and key management, with a focus on securing PII/PHI information.

Explore machine learning approaches for data fusion in disaster management, combining diverse sources to enhance situation awareness and improve response effectiveness.

Explore Earth observation, big data, and urban mapping with Prof. Zhu. Learn about global urban footprints, radar tomography, and data science approaches to settlement classification.

Explore challenges and solutions for securing big data in AI, including hardware support, federated learning, and privacy-preserving techniques for data science and machine learning.

Explore big data's role in cybersecurity, covering classification, feature extraction, and cheat detection. Learn innovative frameworks and future trends in this field.

Explore advanced cybersecurity strategies, including zero-day initiatives, machine learning, and threat analysis, to enhance digital information exchange safety and combat evolving cyber threats.

Explore endpoint security challenges, attack statistics, and solutions in the age of data compromise. Learn about visibility, detection, response, and automation strategies.

Explore integrated approaches to health and social care, focusing on risk assessment, information sharing, and stakeholder collaboration for improved outcomes in child welfare.

Explore real-time video analytics acceleration using CPU+FPGA platforms. Learn about performance optimization, latency reduction, and cost-effective solutions for industrial applications like fraud detection and surveillance.

Explore advanced security threat detection using Apache Spark and Databricks. Learn about innovative solutions for notebook-based testing, self-tuning alerts, automated investigations, and custom SDK development for enhanced cybersecurity.

Explore data privacy techniques for Apache Spark, including offensive and defensive approaches, k-anonymity, and quasi-identifiers. Learn implementation strategies and how Databricks Delta enhances dataset privacy.

Learn strategies for scaling privacy in Spark ecosystems, balancing customer rights with business needs. Explore centralized access control, auditing, and reporting in open data environments.