[priya725]

Published 5/2024
Created by Phillip Burton
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 110 Lectures ( 9h 49m ) | Size: 3.36 GB





Build on your existing PL-300 skills, learn advanced DAX skills, and use lakehouses, warehouses, notebooks and pipelines

What you'll learn:
Plan, implement, and manage a solution for data analytics
Prepare and serve data
Implement and manage semantic models
Explore and analyze data
Requirements:
You will need to already be familiar with all of the requirements of Microsoft's PL-300 exam.
This includes good knowledge of visualization, Power Query (Get and Transform) and the Power BI Service
This also includes very good knowledge of modeling data, including DAX formulas.
Knowledge of coding in SQL using the SELECT statement would be good, but is not required.
Description:
This course covers the additional content required for the DP-600 certification exam, building on your existing knowledge gained for the PL-300 exam.It comes in two parts - additional Power BI knowledge, and Fabric.In Part 1 of this course, we'll start with Power BI. We'll look at:Developing our design of semantic models, including calculation groups/items and field parameters. Expanding our DAX knowledge, with DAX variables and windowing functions.Using external apps, such as Tableau Editor 2 and DAX Studio,Implementing many-to-many relationships, implementing dynamic strings, and using the Optimize menu.The analytics development lifecycle, focusing on version control and deployment solutions,Other Analytics topics, such as creating aggregation tables and using the XMLA endpoint.In Part 2 of this course, we'll look at other Fabric apps which can be used by data analytics in conjunction with Fabric.After a brief look around Fabric, we'll start by ingesting data by using data pipelines and dataflows.We'll then create a lakehouse and use notebooks to load data, manipulate it in both SQL and PySpark, and save the resulting dataframes in PySpark. We'll then use our SQL knowledge in a data warehouse.Finally, we'll create additional objects such as shortcuts and partitions, and optimize performance, implement Slowly Changing Dimensions, and manage our Fabric capacity.Prior knowledge of all of the topics in the PL-300 exam is assumed, especially with regards to DAX functions. This content is available in "PL-300 certification: Microsoft Power BI Data Analyst", which is available on Udemy.Prior knowledge of SQL Server would be helpful, but is not essential.Once you have completed the course, you will have a good knowledge of implementing a solution for data analytics, preparing and serving data, implementing and managing semantic models, and exploring and analyzing data. And with some practice, you could even go for the official Microsoft certification DP-600 - wouldn't that look good on your CV or resume?I hope to see you in the course - why not have a look at what you could learn?
Who this course is for:
This course is for you if you want to implement or manage advanced Power BI skills, and load data into and manipulate data in Fabric lakehouses and warehouseslakehouses
You could be a data analyst, and want to expand your skills to become a Fabric analytics engineer.
By the end of this course, after entering the official Practice Tests, you could enter (and hopefully pass) Microsoft's official DP-600 exam.
Wouldn't the "Implementing Analytics Solutions Using Microsoft Fabric" certification look good on your CV or resume?
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