Microsoft Azure DP-500

Explore Architect Data Solutions on Microsoft Azure with DP-500 Course by Tech Cryptor's.

Microsoft Azure DP-500

Tech Cryptors provide unparalleled customer satisfaction and exceptional value for clients.

Tech Cryptors presents the Microsoft Azure DP-500 course, your gateway to designing and implementing data solutions on Microsoft Azure. Dive into data storage, integration, analytics, and solution architecture, mastering the art of creating robust and efficient data platforms. Our cutting-edge courses are designed to equip aspiring professionals with practical skills and knowledge to excel in the dynamic world of networking.

We have Trained professionals from

Explore the data analytics environment: Understanding the data analytics environment involves familiarizing yourself with the tools, services, and data sources available in Azure, such as Power BI for data visualization and Azure Synapse Analytics for data exploration.

Manage Power BI assets by using Microsoft Purview: Microsoft Purview helps manage and govern data assets, including Power BI reports and datasets, ensuring proper data lineage, discovery, and compliance.

Identify data sources in Azure by using Microsoft Purview: Microsoft Purview helps discover and catalog various data sources in Azure, enabling you to understand available data for analysis within Power BI and other Azure services.

Understand the recommended settings in the Power BI admin portal: The Power BI admin portal provides critical settings for managing Power BI, such as managing capacity, usage metrics, and security settings, ensuring efficient and secure usage.

Understand the recommended monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets: Monitoring and auditing are crucial. The Power BI REST API and PowerShell cmdlets allow you to automate tasks, monitor usage, and ensure data governance.

Integrate an analytics platform into an existing IT infrastructure: Integrating data analytics platforms like Power BI and Azure Synapse Analytics into your existing IT infrastructure requires planning, ensuring seamless data flow, security, and compliance.

Will I Get certification after completing this course?

Yes. Tech Cryptors is ISO 9001:2015 CERTIFIED COMPANY under IAF. Also, we are in collaboration with Shastra INDIAN INSTITUTES TECHNOLOGY Madras. CERTIFICATION will have the significance of the above.

This course is available in Offline Mode or Online Mode?

We conduct this course in BOTH online and offline modes. You can choose the mode suitable for you, even you can SWITCH modes for a couple of lectures in case of any personal issues and emergencies.

One Batch will be accommodated with how many students?

In one batch we allow MAXIMUM 4 students Because we believe that to have a better understanding and to excel in this course PERSONAL ATTENTION is needed.

From When a new batch is starting? and what will be the timmings for the same?

We have new batches starting every 15 days, But you should register asap for your desired date because our batches are filling fast. Batch timings are also kept AS PER YOUR TIME CONVENIENCE, we don’t have any rigid preassigned slots.

How to register for this course? and where to know about Fees and other Queries.

Well, you can SCROLL DOWN and click on WHATSAPP CHAT text OR CLICK HERE to talk with our customer care executive. We are happy to help you with all of your questions and details.

Identify requirements for a solution, including features, performance, and licensing strategy: Understanding the requirements, such as the features needed, performance expectations, and the appropriate licensing strategy, is essential for a successful implementation.

Configure and manage Power BI capacity: Managing Power BI capacity involves scaling resources based on user needs, optimizing performance, and ensuring efficient resource utilization.

Configure on-premises gateway type for Power BI: On-premises gateway configuration is vital for securely connecting Power BI to on-premises data sources, allowing real-time data access while maintaining security in Microsoft Azure DP-500.

Configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2: Integrating Power BI with Azure Data Lake Storage Gen2 enables efficient data sharing, storage, and collaboration across Power BI and other Azure services.

Integrate an existing Power BI workspace into Azure Synapse Analytics: Integrating Power BI workspaces with Azure Synapse Analytics allows users to leverage the powerful analytical capabilities of Synapse Analytics for enhanced data exploration.

Manage the analytics development lifecycle: Efficiently managing the analytics development lifecycle involves planning, development, testing, deployment, and ongoing monitoring of Power BI and Azure Synapse Analytics solutions.

Learn Azure Synapse Analytics code and artifacts to a source control repository: Storing Azure Synapse Analytics code and artifacts in a source control repository ensures version control, collaboration, and a robust development process.

Learn a deployment strategy for Power BI assets: Establishing a deployment strategy for Power BI assets ensures seamless rollout of reports, dashboards, and datasets to users while maintaining data integrity and security in Microsoft Azure DP-500.

Learn a source control strategy for Power BI assets: Implementing a source control strategy for Power BI assets helps manage changes, collaborate effectively, and ensure the consistency of reports and datasets in Microsoft Azure DP-500.

Implementing and managing deployment of pipelines in Power BI: Deploying pipelines in Power BI involves automating data loading, transformation, and processing, enabling users to consume up-to-date data in Microsoft Azure DP-500.

Perform impactful analysis of downstream dependencies from dataflows and datasets: Analyzing downstream dependencies helps ensure that any changes to dataflows or datasets do not disrupt reports and dashboards that rely on them.

Go through the automation solutions for the analytics development lifecycle, including Power BI REST API and PowerShell cmdlets: Leveraging automation through Power BI REST API and PowerShell cmdlets streamlines repetitive tasks, ensuring efficiency and accuracy in the development lifecycle.

Deploy and manage datasets by using the XMLA endpoint: The XMLA endpoint enables programmatic deployment and management of datasets, allowing efficient data access and updates.

Create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets: Creating reusable assets promotes consistency and efficiency in report development, enabling users to work with predefined templates and shared datasets.

Understand Query data by using Azure Synapse Analytics: Querying data in Azure Synapse Analytics involves extracting meaningful insights from large datasets, facilitating data-driven decision-making.

Identify an appropriate Azure Synapse pool when analyzing data: Selecting the appropriate Synapse pool is essential for efficient data analysis, as different pools offer varying performance levels and resource allocation in Microsoft Azure DP-500 in Microsoft Azure DP-500.

Learn file types for querying serverless SQL pools: Understanding file types (such as Parquet, CSV, JSON) for querying serverless SQL pools allows users to work with diverse data formats.

Query relational data sources in dedicated or serverless SQL pools, including querying partitioned data sources: Querying relational data sources, including partitioned data, in dedicated or serverless SQL pools helps optimize data retrieval and analysis in Microsoft Azure DP-500.

Use a machine learning PREDICT function in a query: The PREDICT function in a query enables predictive analysis within Azure Synapse Analytics, providing valuable insights from data.

Ingest and transform data by using Power BI: Ingesting and transforming data in Power BI involves extracting data from various sources, transforming it into usable formats, and loading it into Power BI datasets for analysis in Microsoft Azure DP-500.

Identify data loading performance bottlenecks in Power Query or data sources: Identifying performance bottlenecks in Power Query or data sources is essential for optimizing data loading and transformation processes in Microsoft Azure DP-500.

Implement performance improvement in Power Query and data sources: Implementing performance improvements in Power Query and data sources ensures efficient data processing and enhances user experience in Microsoft Azure DP-500.

Create and manage scalable Power BI dataflows: Scalable Power BI dataflows enable users to handle large datasets efficiently, improving data processing and analysis.

Identify and manage privacy settings on data sources: Managing privacy settings ensures data security and compliance, especially when working with sensitive data sources.

Create queries, functions, and parameters by using the Power Query Advanced Editor: The Power Query Advanced Editor allows users to create complex queries, functions, and parameters, enhancing data transformation capabilities in Microsoft Azure DP-500.

Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models: Querying advanced data sources expands data analysis possibilities, including working with JSON, Parquet, APIs, and integrating Azure Machine Learning models.

Design and build tabular models: Designing and building tabular models in Power BI involves creating efficient data models that support robust analysis and reporting.

Choose when to use Direct Query for Power BI datasets: Direct Query is essential when real-time access to data sources is needed, enabling users to work with up-to-the-minute data.

Choose when to use external tools, including DAX Studio and Tabular Editor 2: External tools like DAX Studio and Tabular Editor 2 provide advanced capabilities for DAX (Data Analysis Expressions) and tabular model management in Microsoft Azure DP-500.

Understand calculation groups: Calculation groups in Power BI simplify complex calculations, enhance reusability, and improve user experience by enabling users to select different calculation scenarios.

Write calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iterators: Writing calculations using DAX variables and functions allows for more sophisticated data analysis, handling various scenarios such as handling blanks or errors in Microsoft Azure DP-500.

Design and build a large format dataset: Designing and building large format datasets in Power BI involves optimizing data models for performance and ensuring efficient handling of substantial data volumes.

Design and build composite models, including aggregations: Composite models in Power BI enable users to combine Direct Query and import mode, providing the flexibility to balance between real-time access and performance in Microsoft Azure DP-500.

Design and implement enterprise-scale row-level security and object-level security: Implementing row-level security and object-level security ensures data security, restricting access to specific data based on user roles and permissions.

Optimize enterprise-scale data models: Optimizing data models at an enterprise scale involves performance tuning, data compression, and maintaining optimal query performance.

Identify and implement performance improvements in queries and report visuals: Identifying and implementing performance improvements in queries and report visuals ensures responsive and efficient reports in Microsoft Azure DP-500.

Troubleshoot DAX performance by using DAX Studio: DAX Studio is a powerful tool for diagnosing and improving DAX query and performance issues.

Optimize a data model by using Tabular Editor 2: Tabular Editor 2 provides advanced capabilities for optimizing and managing tabular models in Power BI.

Analyze data model efficiency by using VertiPaq Analyzer: VertiPaq Analyzer helps analyze and optimize data models created in Power BI.

Optimize query performance by using DAX Studio: DAX Studio assists in optimizing DAX queries for efficient data retrieval and analysis in Microsoft Azure DP-500.

Implementing incremental refresh (including the use of query folding): Incremental refresh in Power BI allows for efficient data updates while utilizing query folding to optimize query performance.

Optimize a data model by using denormalization: Denormalization techniques optimize data models by reducing the number of relationships, improving query performance.

Explore data by using Azure Synapse Analytics: Exploring data in Azure Synapse Analytics involves leveraging powerful analytics tools to gain insights from large datasets.

Explore data by using native visuals in Spark notebooks: Native visuals in Spark notebooks enable interactive data exploration, visualization, and analysis in Azure Synapse Analytics.

Explore and visualize data by using the Azure Synapse SQL results pane: The Azure Synapse SQL results pane allows users to visualize query results, facilitating data exploration and understanding.

Visualize data by using Power BI: Power BI is a leading tool for data visualization, enabling users to create interactive and insightful reports and dashboards

Create and import a custom report theme: Custom report themes in Power BI allow users to customize the appearance and branding of reports, ensuring consistent visual presentation.

Create R or Python visuals in Power BI: Creating R or Python visuals in Power BI enhances data analysis capabilities by leveraging advanced analytical tools and libraries.

Learn to connect to and query datasets by using the XMLA endpoint: The XMLA endpoint enables users to connect to and query Power BI datasets programmatically, enhancing automation and integration capabilities in Microsoft Azure DP-500.

Design and configure Power BI reports for accessibility: Designing reports for accessibility ensures that all users, including those with disabilities, can effectively interact with and understand the data.

Enable personalized visuals in a report: Enabling personalized visuals in a report enhances user experience by allowing users to personalize visualizations according to their preferences.

Configuring automatic page refresh: Configuring automatic page refresh in Power BI ensures that data in reports is up-to-date without manual intervention in Microsoft Azure DP-500.

Creating and distributing paginated reports in Power BI Report Builder: Creating and distributing paginated reports using Power BI Report Builder enables users to create pixel-perfect, printable reports for specific use cases in Microsoft Azure DP-500.

Note For Certification

TECH CRYPTORS is an ISO 9001:2015 CERTIFIED COMPANY, also in COLLABORATION with shaastra, INDIAN INSTITUTE OF TECHNOLOGY, madras. Certification will be with Significance of above for attended TRAINING COURSE. Also, every certificate will have a Unique Certificate Number, which will be helpful WORLDWIDE to verify the validity of every individual certificate using www.techcryptors.com.

Microsoft Azure DP-500