
Dive into the mechanics of Delta Lake's transaction log through hands-on PySpark exercises, exploring its structure, operations, and advantages over traditional data lakes.

Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.

Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.

Explore DuckDB's architecture, design principles, and internal workings with guest lecturer Mark Raasveldt. Gain insights into advanced database systems and their implementation.

Explore Weaviate's architecture, delving into its vector database design, scalability features, and innovative approaches to data storage and retrieval in this comprehensive seminar.

Explore advanced database concepts, focusing on data formats and encoding techniques for efficient storage and retrieval in modern systems.

Explore strategies for managing growing observability data volumes, from historical growth patterns to current solutions and future possibilities in data processing and storage optimization.

Dive into time-series data management through a surfer's journey, exploring efficient storage, querying, aggregation, and API implementation for real-world applications in IoT and finance.

Discover how to optimize hard drives and SSDs using SpinRite, exploring techniques to extend data life and maintain drive health while learning about historical computer storage systems.

Dive into распределённое хранение и обработку больших данных с открытым ПО Яндекса, изучая методы отображения изменяемых таблиц на неизменяемые фрагменты для эффективной обработки данных.

Explore AIStore's innovative approach to handling petascale datasets, offering high-performance storage solutions for deep learning with linear scalability and optimized cloud backend integration.

Discover optimization techniques for handling high-cardinality metrics in Apache HoraeDB, featuring real-world implementation strategies from AntGroup's engineering experience.

Discover the fundamentals of cloud and edge computing, exploring service models, deployment strategies, and real-world applications while understanding how these technologies complement each other for optimal performance.

Discover how to build and manage distributed meta datalakes using Gravitino, exploring multi-regional architectures and implementation strategies for scalable data solutions.

Explore comprehensive web application development, from front-end design to back-end systems, databases, security, and maintenance, focusing on practical architecture decisions and implementation strategies.

Discover how to optimize data engineering workflows using Azure Data Factory and Microsoft Fabric with Snowflake, featuring bi-directional data access through Apache Iceberg for enhanced security and performance.

Discover how open-source standards like Apache Iceberg and Nessie power data lakehouses, enabling flexible and cost-effective data platforms while minimizing vendor lock-in and data movement challenges.

Explore the critical relationship between AI advancement and data storage limitations, examining how memory constraints could impact AI's future development and potential solutions.

Discover the latest NFS 4.2 enhancements for high-performance computing, including strategies for unified data orchestration across clouds, GPU clusters, and distributed environments.

Explore the integration of CXL and NVMe protocols, focusing on host addressable Subsystem Local Memory, computational storage benefits, and emerging developments in memory disaggregation.

Explore distributed data placement algorithms for cloud storage, focusing on NVMe-oF implementation, scalability challenges, and erasure coding principles in high-performance storage systems.