Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI (DP-500)
- Dec 18, 2023 - Dec 21, 20234 Days - Live Online - PST08:00 AM - 04:00 PM PSTGuaranteed To Run
- Jan 22, 2024 - Jan 25, 20244 Days - Live Online - PST08:00 AM - 04:00 PM PSTGuaranteed To Run
- Mar 04, 2024 - Mar 07, 20244 Days - Live Online - PST08:00 AM - 04:00 PM PSTGuaranteed To Run
Need Training for 5 or More People?
Customized to your team's need:
- Annual Subscriptions
- Private Training
- Flexible Pricing
- Enterprise LMS
- Dedicated Customer Success Manager
If you enroll in this course at the listed price, you receive a Free Official Exam Voucher for the DP-500 Exam. This course does not include Exam Voucher if enrolled within the Master Subscription, however, you can request to purchase the Official Exam Voucher separately.
About this Course:
This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.
- Implement and manage a data analytics environment
- Query and transform data
- Implement and manage data models
- Explore and visualize data
Candidates for this course should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions. Specifically, candidates should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.
Before attending this course, it is recommended that students have:
A foundational knowledge of core data concepts and how theyâ€™re implemented using Azure data services. For more information see Azure Data Fundamentals.
Experience designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI. For more information see Power BI Data Analyst.