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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Discover best practices for deploying and maintaining SQL Server Machine Learning Services, including R package management, code deployment, and troubleshooting techniques for seamless integration.
Learn to create professional KPI scorecards in Power BI using DAX, custom visuals, and design best practices. Master matrix tables, conditional formatting, and sparklines for impactful data visualization.
Comprehensive exploration of SQL Server Concurrency Model, focusing on blocking issues and deadlocks. Learn to troubleshoot using standard tools and a specialized Blocking Monitoring Framework.
Explore Azure Synapse Analytics, a comprehensive platform integrating relational and big data systems for efficient data ingestion, preparation, modeling, and serving in a unified workspace.
Explore Azure Data Factory's Mapping Data Flows for efficient, scalable ETL without coding. Learn to transform data using Databricks integration and graphical tools.
Explore SQL Server on Linux: installation, configuration, and management. Learn essential Linux commands and file systems for DBAs transitioning to this open platform.
Discover Power Query's transformation capabilities, M language benefits, and Dataflows' role in Power BI. Learn advanced features through demos to enhance your data preparation skills.
Explore various high availability and disaster recovery options for SQL Server, weighing pros and cons to find the best fit for your company's needs and requirements.
Learn to effectively plan, configure, and operate Clustered Columstore indexes for handling trillions of rows, using real-world examples and best practices for partitioning, data type selection, and data insertion.
Learn to install and use PowerShell on Linux, interact with Azure and SQL Server, and discover its potential for Linux administrators. Explore use cases and resources for further learning.
Explore Power BI and SQL Server Reporting Services for developers. Compare features, development environments, and integration capabilities to choose the best platform for your reporting needs.
Learn to implement DevOps practices for SQL databases, Analysis cubes, and SSIS packages using Azure DevOps Pipelines. Discover techniques for code tracking, compile-time checking, and efficient deployments.
Learn to develop extensions for Azure Data Studio using Typescript, exploring APIs, GitHub hosting, and marketplace sharing. Gain practical skills through a live demonstration of building a functional extension.
Explore various methods for implementing role-playing dimensions in tabular models, including DAX expressions, with a focus on model maintainability and user experience in data analysis.
Learn effective data visualization techniques, including chart selection, color theory, and design principles to enhance your data storytelling skills and create impactful Power BI reports.
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