
Discover why Microsoft Fabric matters for data scientists, analysts, engineers, and BI professionals as a common, latest service in preview, driving growing job opportunities.
Discover Microsoft Fabric architecture and its one lake approach that unifies data warehousing, data engineering, data science, and real-time analytics in a single SaaS platform.
Explore data lake concepts, including data lake, one lake, lake house, and parquet formats, then build a lake house, use the SQL endpoint for processing, and create visualizations.
Discover how data lake stores structured, unstructured, and semi-structured data in one place and how One Lake unifies lakehouse, parquet, Delta Lake, and time travel for batch and streaming analytics.
Create visualizations in the lakehouse by using the model to relate tables, hide sensitive fields, and build a new report with bar charts and tabular data, then export or share.
Explore large-scale data analytics with Apache Spark, notebooks, dataframes, and data transformation using PySpark and Pi SQL, plus Delta table partitioning, Spark SQL API, data visualization, and GIS.
Save cleaned data to Parquet files in Spark, using dataframe write with overwrite mode, and partition by category to improve query performance by reading from specific partitions.
Explore the Spark SQL API in PySpark to create tables, save delta tables from data frames, and run SQL queries for category-based aggregations.
Validate pipelines to catch errors, run them manually, and view run history with start times and IDs; schedule weekly executions with start and end times, and review code and status.
Explore data flow gen two and data pipelines to transform data with Power Query Online, load into Lakehouse, and automate ETL using Azure services.
Learn to create and populate a products table, filter and sort data, and use summarize with aggregate functions to analyze sales in a KQL query set.
visualize kql query results in power bi by aggregating sales data and creating charts, tables, and kpis for real-time analytics in fabric.
Learn to compare two models or experiment runs in the data science dashboard, view metrics like accuracy and F1 score, visualize comparisons with bar charts, and save the selected model.
Welcome to the comprehensive course on Microsoft Fabric! In this course, you will embark on a journey from the basics to advanced concepts, gaining practical knowledge and skills that will empower you in the realm of data science, data engineering, and real-time data analytics. With a strong focus on Microsoft Fabric, this course provides you with the tools and techniques to leverage the power of Fabric for end-to-end analytics.
Throughout the course, you will delve into the world of data engineering, learning how to efficiently transform, process, and analyze vast amounts of data using Microsoft Fabric. You will explore various data engineering techniques, including data warehousing, data pipelines using Data Factory, and parallel processing with Apache Spark. Gain hands-on experience as you navigate real-world scenarios and challenges, equipping you with the expertise to tackle complex data engineering projects.
Moreover, this course takes you on an exploration of the art of data science using Microsoft Fabric. Learn how to harness the potential of Fabric to perform advanced analytics, uncover valuable insights, and make data-driven decisions. Dive into topics such as real-time data analytics, where you will discover how to process and analyze streaming data in real time, enabling you to gain immediate insights and take action when it matters most.
In addition, you will discover the power of Power BI as a visualization and reporting tool, enabling you to create interactive and visually compelling dashboards that communicate insights effectively. Through hands-on exercises, you will learn how to create compelling visualizations, share reports, and collaborate with others using Power BI.
This course also offers guidance on obtaining a Microsoft Fabric certification, helping you demonstrate your expertise and proficiency in Microsoft Fabric to potential employers or clients. You will gain insights into the certification process, learn valuable exam tips, and understand the areas of focus required to excel in the certification exams.
By the end of this course, you will have acquired a solid foundation in Microsoft Fabric, equipped with the knowledge and skills to tackle data engineering, real-time data analytics, and data science projects with confidence. Whether you are an aspiring data scientist, data engineer, or analytics professional, this course is designed to propel your career forward by providing you with the essential skills needed in today's data-driven world.
Enroll now and embark on your journey to become a Microsoft Fabric expert!