
Explore Unity Catalog's features for simplifying data, analytics, and AI governance across clouds. Learn best practices and gain hands-on experience through expert-guided demonstrations.

Transforming Earth Observation: Ubotica's edge-based model delivers imagery updates to user handsets in minutes, revolutionizing the field with faster, more efficient data consumption.

Explore machine learning applications in climate action, focusing on data-driven solutions for environmental challenges and sustainable development.

Explore software operators for PostgreSQL, Apache Spark, and Kubeflow. Learn to simplify complex operations, streamline data processing, and navigate MLOps setups for optimal AI workload performance.

Explore digital transformation in oil upstream industry with Eng. Haider Waleed. Gain insights into innovative technologies and strategies reshaping the sector.

Explore graph theory's application in material genes and structural chemistry of Li-ion batteries. Uncover new paradigms for advancing critical battery materials through interdisciplinary research methods.

Explore ML scalability challenges with Anyscale's Head of Engineering. Gain insights on large-scale computing, attention-based models, and the balance between big and small data in machine learning.

Explore software-defined radio to capture and process real-time aircraft location data using ADS-B, Redis Streams, and Node.js. Build an interactive map displaying live flight information.

Master building a real-time analytics database using Apache ecosystem tools including Kafka, Druid, and Superset. Learn data streaming, processing, and containerization with hands-on implementation.

Explore advanced sketch algorithms including Misra-Gries and Count-min techniques for efficient data mining, with detailed analysis and practical applications.

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.

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 novel methods for solving big data inverse problems, focusing on sparse representation and L1 regularization. Learn about variable projection and deep neural networks for parameter optimization.

Learn how to contribute to Apache Solr with guidance from experienced committers. Explore the contribution process, best practices, and ways to get involved in this open-source search engine project.

Explore Solr v1 and v2 APIs with Solr committers, learning how to contribute to Apache Solr and understanding the differences between API versions.

Learn how to contribute to Apache Solr with guidance from experienced committers. Explore the contribution process, best practices, and ways to get involved in this open-source search engine project.

Discover how to efficiently manage, process, and clean data using low-code tools. Learn to connect Apache Spark, Databricks, and TimeXtender for rapid data curation and confident decision-making.

Develop a real-time fraud detection system using ML data pipeline tools. Learn to build, deploy, and serve data pipelines with Feast and Tecton. Explore architectural patterns and model stages.