
Learn to create stunning thematic maps and perform impactful spatial data analysis using Power BI's ArcGIS Maps and MapBox Visual for enhanced data visualization and insights.

Explore data science options in Microsoft Azure, including Power BI, Cortana Intelligence Suite, and HDInsight. Learn about pre-built machine learning algorithms and tools for tackling various data science needs.

Explore common patterns for building end-to-end data analytics pipelines using Apache Spark on Azure HDInsight, covering architecture, integration points, and various pipeline options.

Learn efficient management and monitoring techniques for multiple SQL Server instances, minimizing administration effort and maximizing productivity.

Explore how InfluxData's time-series platform enhances DevOps initiatives, providing granular sub-second monitoring for anomaly detection and performance optimization in microservices applications.

Explore Azure's big data and MPP offerings, including data lakes, HDInsight, and SQL Data Warehouse. Learn about architecture, storage options, and processing capabilities for efficient data management.

Explore Data Positioning's evolution in data management, learning its history, principles, and architecture for delivering value in current and future scenarios.

Explore integrating R, Azure Machine Learning, and advanced Power BI features for enhanced data insights and automated analysis capabilities.

Explore advanced Power BI techniques for robust, reliable, and scalable enterprise solutions. Learn essential features to enhance your data analysis and visualization capabilities.

Transform raw data into actionable insights with Power BI. Learn data modeling, visual slicing, report creation, and advanced features for effective dashboard design.

Discover effective techniques for transforming Power BI reports into compelling digital narratives, leveraging storytelling capabilities to create impactful data presentations.

Explore creating streaming datasets in Power BI using Microsoft Flow to orchestrate data movement from various sources. Learn about push datasets, Flow triggers, and interactive demonstrations with practical applications.

Explora el papel de SSAS en Azure para soluciones BI, aprende sobre modelado y carga de datos, y descubre cómo visualizar información con Power BI y Excel.

Aprende a extraer y analizar datos de múltiples fuentes no estructuradas utilizando Azure Logic Apps y Power BI en esta sesión práctica y demostrativa.

Learn to analyze feedback using Azure Cognitive Services, transforming data from Dynamics 365 to create insightful models and gain valuable AI-driven analytics insights.

Explore advanced data science techniques for custom visuals in Power BI, enhancing your ability to create AI-driven analytics and insightful visualizations.

Learn Azure Data Factory fundamentals, build new data pipelines, and migrate SSIS packages. Discover how to streamline your data integration processes in the cloud.

Explore SQL Server 2019's big data cluster architecture, integrating SQL Server with HDFS for petabyte-scale storage and leveraging Kubernetes for scalable data processing and virtualization.

Explore Neo4j and graph databases, their use cases, and advantages over relational databases. Learn about property graph models, query languages, and practical applications in data analysis.

Develop scalable data solutions using Azure Databricks for efficient processing, collaborative development, and seamless integration with Azure services and Power BI visualization.

Learn to create and use machine learning models in Power BI, leveraging Azure's capabilities for data-driven insights. Hands-on demos showcase AI integration for enhanced business intelligence.