
Create a Power App for location check-ins, integrate with Flow to update Power BI data, and build a report displaying user locations on a map using Microsoft's Power Platform tools.

Explore Azure Data Engineer role: certifications, skills, and duties. Learn about storage, security, DevOps, and automation. Gain insights for certification exams and career advancement in cloud data engineering.

Explore SQL Server 2019's Big Data Clusters: architecture, deployment, and capabilities for combining relational and non-relational data, enhancing your big data skills and career prospects.

Explore advanced Power BI features to enhance user experience: bookmark capture, button configurations, report tooltips, and measure-based formatting for improved report design and interactivity.

Celebrating SQL Server Big Data Clusters' first year, showcasing enhancements, and previewing future developments for accelerating data engineering and science projects.

Explore and transform massive data in Azure data lakes using SQL Serverless for Synapse. Learn to leverage T-SQL for analytics, BI, and ML at petabyte scale.

Automate Excel tasks using PowerShell and Jupyter Notebooks. Learn to create self-service solutions for users to generate custom Excel workbooks efficiently and effectively.

Accelerate machine learning pipelines using SQL Server on Red Hat Enterprise Linux and OpenShift. Learn in-database ML techniques and containerization for efficient model production and deployment.

Explore upcoming SQL Server tools and user experiences, featuring demos on Jupyter notebooks and SQL database projects, presented by the SQL Server product team.

Learn to create custom Power BI visuals using Charticulator without coding. Explore the tool's environment, chart creation process, and importing custom visuals into Power BI desktop.

Comprehensive guide to using Dynamic Management Views for SQL Server diagnostics, leveraging Jupyter Notebooks to detect and resolve performance issues with detailed result interpretation.

Explore Azure Databricks for cloud-based big data analytics. Learn cluster setup, collaborative notebooks, and machine learning integration. Discover its role in modern cloud data warehousing.

Explore Power BI's capabilities for enterprise-grade insights, performance, governance, and security over massive datasets. Learn simplified data modeling and visualization techniques for actionable insights.

Explore data virtualization with SQL Server 2019 Big Data Cluster, enabling seamless integration of diverse data sources for efficient processing and analysis of structured and unstructured data across cloud and on-premises environments.

Comprehensive introduction to Python for data science, covering basics and machine learning using real-world datasets. Ideal for beginners looking to integrate Python into Microsoft tools.

Explore fine-tuned data access with Row Level Security in SQL Server, covering implementation patterns, scaling solutions, and practical tips for sensitive information management.

Learn to build real-time BI dashboards using Azure Synapse and Cosmos DB. Discover no-ETL analytical processing on operational data without impacting critical workloads.

Learn key differences between data visualization tools, their pros and cons, and how to choose the best one for your entrepreneurial needs.

Explore ML tools and features in Power BI, including built-in visuals, Azure Cognitive Services integration, and new ML capabilities in data flows for enhanced data analysis and reporting.

Discover strategies to become a respected data expert as Kevin Kline explores the growing importance of data-driven decision making and its impact on professional development.

Aprende a realizar ETLs eficientes y domina Power Query en PowerBI para transformar y cargar datos de manera efectiva, mejorando tus habilidades de análisis y visualización.