
Learn to produce Apache Kafka messages using Apache Flink and Java in this comprehensive walkthrough. Covers Flink job setup, Kafka configuration, data generation, serialization, and execution verification.

Explore event time, processing time, and watermarks in Apache Flink for effective stream processing and window operations.

Explore lightweight methods for connecting disparate systems in modern application development. Learn efficient integration techniques for streamlined system connectivity.

Explore supersonic model serving in cloud-native environments using Deep Java Library (DJL) embedded in Quarkus. Learn to bridge the gap between data scientists and DevOps teams for efficient model deployment.

Discover the future of Red Hat's containerized integration solution beyond Fuse 7 and learn how to modernize Fuse 6 workloads for upcoming needs.

Explore real-time image processing using AI/ML techniques with Jupiter notebooks, enhancing your skills in cutting-edge technology applications.

Design and implement a real-time data warehouse with Apache Airflow, Kafka, and Pinot. Create custom hooks, ingest batch and streaming data, and visualize evolving data using Apache Superset.

Empower data consumers to create their own products with minimal training. Learn best practices, community building, SQL literacy promotion, and guard rail establishment for self-service analytics.

Explore innovative ML testing strategies, focusing on observability, data reliability, and honoring Data Scientists' workflows to improve quality and efficiency in ML development.

Discover software engineering best practices for testing data science code, including mocking data and handling complex scenarios in machine learning projects.

Streamline data warehouse development using metadata-driven approaches. Learn efficient techniques for Insert/Update/Delete operations and pipeline management.

Explore Microsoft's Cognitive Services for easy AI integration. Learn pre-built AI applications, their use cases, and how to leverage them in your development projects.

Explore AutoML on Azure Machine Learning Service and Azure Databricks to quickly build and deploy ML models, reducing time and expertise required for preprocessing and model creation.

Accelerate data pipeline development with Databricks Delta Live Tables. Learn setup, ingestion, table creation, pipeline execution, and data validation for faster, more reliable projects.

Discover recent updates and new features in Azure Synapse Analytics for end-to-end analytics, with practical demonstrations and scenario-based applications.

Build fast, reliable, and scalable ETL pipelines using Delta Live Tables on Azure Databricks. Learn declarative approaches and see demos of simple and complex streaming pipelines.

Explore Azure AutoML for machine learning, from model creation to Excel integration via VBA, with a focus on practical applications and time-saving techniques.

Learn practical, visual steps to evaluate CALCULATE expressions with multiple filters/modifiers in Power BI, enhancing your data modeling and visualization skills.

Discover query folding's importance for Power Query performance and learn factors that can hinder its effectiveness.

Explore transitioning from bulk loading to streaming data integration, leveraging Azure services for real-time analytics and long-term storage in data warehousing.

Explore DAX window functions and apply semantics through examples, gaining insights into their capabilities and performance optimization techniques.