
Explore Azure data engineering tools: Data Factory, Databricks, and Synapse Analytics. Learn their strengths, use cases, and how to choose the right one for your project.

Embark on a unified analytics journey using Power BI and Azure Synapse Analytics. Learn essential techniques to create powerful data solutions and gain valuable insights.

Explore Azure Data Explorer setup and usage through practical examples in this introductory session on modern analytics and big data engineering.

Explore real-time analytics in aviation using Microsoft Fabric's Real-time Analytics. Learn data integration, visualization with Power BI, and swift decision-making techniques.

Learn to drive actions on data using the new Data Activator experience in Microsoft Fabric. Discover how to create alerts and automate responses based on real-time data insights.

Explore Microsoft Fabric Notebooks: Learn Python, Spark basics, and advanced analytics with SemPy. Enhance Power BI development using CoPilot for code assistance.

Stream and analyze real-time aircraft data using Microsoft Fabric, showcasing Eventstream, KQL database, and Power BI for visualizing flight patterns above SQLBits venue.

Discover techniques for testing Fabric's capacity to handle large-scale data processing, from ingestion to PowerBI visualization, for enterprise-level workloads.

Discover data governance essentials and Unity Catalog's role in simplifying management for lakehouse analytics and AI initiatives. Learn key requirements and best practices.

Explore data architecture trends with a seasoned engineer, separating hype from strategic value in industry buzzwords and innovations.

Explore data engineering in Microsoft Fabric: Notebooks, Lakehouse flexibility, Spark configurations, and Copilot-enhanced efficiency for developers.

Develop an end-to-end sales analytics project using Apache Flink. Learn data ingestion, processing, complex transformations, and custom output formats for big data processing.

Design, implement, and maintain scalable lakehouse architectures using Apache Spark, Kafka, Flink, Delta Lake, AWS, and open-source tools. Enhance data potential through advanced analytics and machine learning.

Build high-performance Kafka-based event-driven architectures using Quarkus and MicroProfile Reactive Messaging. Learn through live coding, showcasing patterns and development techniques.

Explore sentiment analysis using Kafka and AI/ML with Red Hat technologies through an interactive demo of a retail customer use case.

Discover how Cruise Control optimizes Kafka clusters, maximizing hardware resources and simplifying management with AMQ Streams operator.

Explore real-time data streaming with Apache Kafka and Swim. Learn about stateful business logic, stream processing, and creating dynamic UIs for actionable insights from distributed data sources.

Explore Apache Kafka's evolution, community impact, and future developments. Gain insights from industry leaders on Kafka's applications and upcoming features like KRaft.

Explore building a real-time AI data platform using Apache Kafka, focusing on migrating from batch to stream processing without stateful components. Learn about Forecasty.ai's journey and innovative solutions.

Discover essential recommendations for optimizing Apache Kafka in production environments, covering operational aspects, serialization, architecture, and advanced features for efficient data streaming.

Explore tiered storage in Apache Kafka for improved scalability and elasticity. Learn implementation, benefits, and impact on performance from a Confluent engineer.