
Discover strategies for leveraging data to drive business decisions and optimize performance in today's data-centric landscape.

Explore data-driven decision-making through distributionally robust optimization, focusing on computation, statistics, and real-time implementation aspects. Gain insights into online optimization applications.

Explore free open-source data lake solutions using Bigtop with Ambari. Learn about the latest Bigtop release, integration with OpenEuler, and how this platform streamlines data management and analytics.

Build a real-time data lake using Flink and Iceberg to address timeliness, diversity, consistency, and accuracy challenges in modern data architectures.

Explore solutions for real-time data warehousing using Apache Flink, Hive, and Iceberg. Learn to handle challenges like late events and dirty data routing in enterprise-level ETL migration.

Explore modern trends in big data acceleration and enable effective product analytics for improved decision-making and business insights.

Explore latest developments in Hive-Iceberg integration, including statistics, branching, tagging, compactions, and concurrency. Gain insights into seamless integration and advanced features.

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.

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.

Explore data's journey across enterprises, unraveling its transformations and impact on decision-making, efficiency, and AI innovation through data-centric workflows.

Develop reusable and testable data pipelines using DBT and Python. Learn best practices for version control, DAGs, and unit testing in SQL and Python-based models.

Develop context for data science projects, understand team roles, and build a data-driven culture. Learn about machine learning techniques and their appropriate applications.

Learn effective strategies for managing data science teams, processes, and technologies in enterprise settings, avoiding pitfalls and implementing best practices for breakthrough results.

Explore the synergy between UX and data science, learning how to integrate user-centric design with data-driven insights for more effective product development.

Discover strategies for building a data-driven organization, reducing AI bias, and fostering human-machine collaboration to drive innovation in enterprise settings.

Discover how financial services leverage AI and ML in big data environments to overcome deployment challenges and deliver transformational business results.

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

Discover how metadata analysis in hospital networks can drive strategic decision-making, enhance operational efficiency, and provide valuable insights for healthcare management optimization.

Discover how to leverage daily bank transaction data for real-time credit risk assessment, transforming traditional financial analysis into dynamic insights for better decision-making.

Discover how Data Radar Maps and data-informed models drive product growth through real-world case studies and practical insights for product teams seeking data-driven success.

Comprehensive tutorial on DAX fundamentals in Power BI, covering calculated columns, measures, context, functions, and advanced techniques for efficient data analysis and reporting.