
Discover how TMAP implements dynamic pricing models for mobility on-demand services, incorporating real-time supply-demand data and external variables like weather for optimal price adjustments.

Discover how to effectively implement Data Lake with Data Governance through Microsoft's key services, featuring real SK case studies and insights on ML Studio and Power BI integration.

Discover how SKT builds and manages 100TB of vision data assets using Vision-Language Models, standardizing fragmented data for enhanced AI services and efficient situation recognition in CCTV systems.

Explore the evolution of data warehousing from traditional ETL to modern Lakehouse architecture, focusing on Delta Lake, Structured Streaming, and PySpark implementation with practical code examples.

Discover how DocETL framework leverages AI agents and LLMs to transform complex document processing, featuring innovative operators and optimization techniques for enhanced data extraction and analysis.

Discover how hedonometers analyze sentiment in big data, exploring real-world applications like measuring emotional content in Michael Jackson's lyrics through data science techniques.

Discover how Databricks revolutionizes data processing by combining data warehouse and lake architectures through Delta Lake, Apache Spark, MLFlow, and Koalas frameworks for scalable data engineering and analytics.

Explore how Rivian leverages real-time analytics and IoT technologies to power their electric vehicles through an advanced stack combining Kafka, Flink, and Druid with custom solutions.

Explore the landscape of geospatial data science and location intelligence, from strategic perspectives to practical applications, including data sources, industry use cases, and hands-on examples.

Dive into managing stateful applications in Kubernetes, exploring deployment strategies for databases like PostgreSQL, ClickHouse, and Cassandra while learning best practices and potential pitfalls.

Dive into POSIX.1e ACLs implementation in multiprotocol environments, exploring security model interactions, multithreading challenges, and practical translation methods between different ACL types.

Discover how computational storage enhances object storage applications through in-situ processing, improving system performance, reducing data movement, and enabling efficient real-time analytics in disaggregated environments.

Dive into Apache Ozone's distributed object storage system architecture, focusing on Erasure Coding implementation for enhanced storage efficiency and reliability while reducing costs by 50% compared to traditional replication methods.

Delve into Apache Ozone's security architecture, exploring authentication, authorization, and communication protocols in distributed storage systems, with insights on recent performance improvements and solutions.

Discover how to effectively manage data lakes using modern architectures, open table formats, and version control systems through practical examples with Databricks, Apache Iceberg, and AWS technologies.

Master stream processing fundamentals and advanced concepts using Redpanda and Apache Flink, from stateless operations to fault tolerance, followed by hands-on application building and deployment in Java.

Explore LiveView and Membrane Framework for interactive video and audio processing in Elixir, covering stream processing, transformations, and managing complexity.

Explore RabbitMQ streams' design journey, internals, and new filtering feature. Gain insights into best practices, limitations, and future developments for efficient message streaming and partitioning.

Develop a houseplant soil alerting system using ksqlDB, exploring practical pipeline implementation for real-time data processing and monitoring.

Develop ML-enhanced event streaming applications using Python microservices, exploring real-time data processing and machine learning integration.

Explore anomaly detection techniques using Apache Pinot and ThirdEye for efficient cloud-native data analysis and monitoring.