Course Overview

This exam DP-500: Designing and Implementing Enterprise Scale Analytics course from CloudThat is to train candidates who plan to take up the exam DP-500 training and successfully clear the Azure Enterprise Data Analyst Associate certification exam. Candidates for exam DP-500 new released course performs advanced data analytics at scale, such as cleaning and transforming data, designing and building enterprise data models, incorporating advanced analytics capabilities, integrating with IT infrastructure, and applying development lifecycle practices.

Candidates for Microsoft Azure exam DP-500 help collect enterprise-level requirements for data analytics solutions that include Azure and Microsoft Power BI. They also advise on data governance and configuration settings for Power BI administration, monitor data usage, and optimize performance of the data analytics solutions.

Azure enterprise data analysts collaborate with other roles, such as solution architects, data engineers, data scientists, AI engineers, database administrators, and Power BI data analysts.

After completing this course, students will be able to:

  • Implement and manage a data analytics environment
  • Query and transform data
  • Implement and manage data models
  • Explore and visualize data

Upcoming Batches

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Start Date End Date

2024-09-22

2024-09-25

2024-09-23

2024-09-26

2024-10-06

2024-10-09

2024-10-07

2024-10-10

2024-10-29

2024-11-01

2024-10-30

2024-11-02

2024-11-03

2024-11-06

Key Features

  • Our DP-500 exam certification course modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL) in the Microsoft Azure new course.
  • The training on exam DP-500 Microsoft Azure Security technologies delivered by certified instructor to support Competency-Based Learning (CBL) modules.
  • The new Microsoft Azure certifications course consists of well-structured use-cases to simulate challenges encountered in a Real-World environment.
  • Integrated teaching assistance and support through expert designed Learning Management System (LMS) and ExamReady platform.
  • Being a Microsoft Learning Partner gives us competitive edge in delivering the best training on Azure certification new announced course.

Who Should Attend

  • Data Analysts

Prerequisites

  • A foundational knowledge of core data concepts and how they’re implemented using Azure data services.

  • Experience in designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI.

Course Outline Download Course Outline

Govern and administer a data analytics environment

  • Manage Power BI assets by using Azure Purview
  • Identify data sources in Azure by using Azure Purview
  • Recommend settings in the Power BI admin portal
  • Recommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets

Integrate an analytics platform into an existing IT infrastructure

  • Identify requirements for a solution, including features, performance, and licensing strategy
  • Configure and manage Power BI capacity
  • Recommend and configure an on-premises gateway in Power BI
  • Recommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2
  • Integrate an existing Power BI workspace into Azure Synapse Analytics

Manage the analytics development lifecycle

  • Commit code and artifacts to a source control repository in Azure Synapse Analytics
  • Recommend a deployment strategy for Power BI assets
  • Recommend a source control strategy for Power BI assets
  • Implement and manage deployment pipelines in Power BI
  • Perform impact analysis of downstream dependencies from dataflows and datasets
  • Recommend automation solutions for the analytics development lifecycle, including Power BI REST API and PowerShell cmdlets
  • Deploy and manage datasets by using the XMLA endpoint
  • Create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets

Query data by using Azure Synapse Analytics

  • Identify an appropriate Azure Synapse pool when analyzing data
  • Recommend appropriate file types for querying serverless SQL pools
  • Query relational data sources in dedicated or serverless SQL pools, including querying partitioned data sources
  • Use a machine learning PREDICT function in a query

Ingest and transform data by using Power BI

  • Identify data loading performance bottlenecks in Power Query or data sources
  • Implement performance improvements in Power Query and data sources
  • Create and manage scalable Power BI dataflows
  • Identify and manage privacy settings on data sources
  • Create queries, functions, and parameters by using the Power Query Advanced Editor
  • Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models

Design and build tabular models

  • Choose when to use DirectQuery for Power BI datasets
  • Choose when to use external tools, including DAX Studio and Tabular Editor 2
  • Create calculation groups
  • Write calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iterators
  • Design and build a large format dataset
  • Design and build composite models, including aggregation
  • Design and implement enterprise-scale row-level security and object-level security

Optimize enterprise-scale data models

  • Identify and implement performance improvements in queries and report visuals
  • Troubleshoot DAX performance by using DAX Studio
  • Optimize a data model by using Tabular Editor 2
  • Analyze data model efficiency by using VertiPaq Analyzer
  • Implement incremental refresh
  • Optimize a data model by using denormalization

Explore data by using Azure Synapse Analytics

  • Explore data by using native visuals in Spark notebooks
  • Explore and visualize data by using the Azure Synapse SQL results pane

Visualize data by using Power BI

  • Create and import a custom report theme
  • Create R or Python visuals in Power BI
  • Connect to and query datasets by using the XMLA endpoint
  • Design and configure Power BI reports for accessibility
  • Enable personalized visuals in a report
  • Configure automatic page refresh
  • Create and distribute paginated reports in Power BI Report Builder

Certification

    • By earning Microsoft DP-500 exam certification training, you will prove competency in designing, creating, and deploying enterprise-scale data analytics solutions.
    • Imbibe skills to meet enterprise-level requirements for data analytics solutions that include Azure and Microsoft Power BI.
    • On successful completion of DP-500 training and certification, aspirants receive a Course Completion Certificate from us.
    • By successfully clearing the DP 500 certification, aspirants earn Microsoft Certification.

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Course ID: 13590

Course Price at

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Reviews

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Pavan Kumar

I attended couple of webinars by CloudThat which includes Data science on Azure and Power BI. I felt Trainers are experts in mentoring the students irrespective of their prior knowledge or experience. course content and schedule is very well organized. I really recommend people who are looking for a career growth will find right direction with CloudThat.

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Ronald Chiwariro

Great Training Centre and highly qualified trainers. Excellent theories, models and training…the best part was how tailored it was to our particular situation. CloudThat is a living embodiment of how to do it. The deliverables pushed us all to exactly the right levels and the results we needed. The course administration and delivery are above excellence !!!!!!!!!!!!

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AMIT KUMAR

It was a great learning session and very fruitful. Although the sessions are long but are very educative. Continuous training sessions on various programs are very helpful and informative. Good initiatives from Cloudthat. Keep is up

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