Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.

Learn how to use functions in Transact-SQL, and how to group aggregated results.

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.

By the end of this module, you'll learn the meaning of time intelligence and how to add time intelligence DAX calculations to your model.

This module is an introduction to the Microsoft Fabric Eventstream within Real-Time Intelligence (RTI).

Use tools to develop, manage, and optimize Power BI data model and DAX query performance.

Entity Framework Core is a modern, lightweight, open-source, cross-platform object-relational mapper.

Discover how to perform geospatial analysis using GeoPandas in Python, focusing on spatial data manipulation and visualization techniques.

Gain the skills to transform data into stories, using the DIKW pyramid and the Altair Python library.

Learn how to use R for data analysis in social sciences, focusing on statistical methods, data visualization, and practical applications for social research.

This course teaches how to use asserts in Python to validate data cleanliness. Learn to compare indexes, Series, and DataFrames, compose quantitative and logical tests, and apply them for data cleaning.

In this workshop you're analyzing and architecting solutions based on a series of sheets in a planning workbook. You're choosing the company to use, so we've given you detail based on industry standards.