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Azure Data Engineering Certification Course ( DP-203 )
Learn the fundamentals of Microsoft Azure with capstone projects with Azure data engineer training online.
- 4.7 Ratings / 1200 Reviews
- 3000+ Professionals Enrolled
- 98.3% Success Rate
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Course Overview
General Description
Learn the fundamentals of Microsoft Azure with capstone projects with Azure data engineer training online. Become Azure certified with expertise in integrating, transforming, and consolidating the right data and earn better career growth as a big data engineer.
Key Features
- On-demand online interactive Azure Data Engineer Training and Certification course
- 24/7 Q-&-A sessions as a student-centered learning approach
- Best use-cases for present-day, real-time projects under guidance from industry experts
- Get industry-recognized training certification online
Course Objectives
At the end of this Azure Data Engineer Training and Certification course online, you will be able to:
- Create Microsoft Azure account, effectively configure Azure PowerShell and Azure CLI
- Define ARM and Azure Storage, including management of Azure Resources
- Gain hands-on expertise on Azure storage accounts
- Create, configure Azure virtual machine, and run custom image of Azure VM
- Create Cosmos DB Account and master SQL queries
Course benefits
- Azure certification training course expands job opportunities for you.
- It gives you an edge in IT competing for better salaries in a competitive way
- The course with data pipelines with Kafka helps you be a better Big Data engineer
Target Audience / Prerequisites
- Business Managers
- Business Stakeholders
- Change Agents
- Consultants
- DevOps Consultants
- DevOps Engineers
- IT Directors
- IT Managers
- IT Team Leaders
- Practitioners
- Product Owners
- Scrum Masters
- System Integrators
- Tool Providers
- Anyone interested in modern IT leadership & organizational change approaches
Certification
Sample Certificate
- After successfully completing the training programme, as well as the real-time hands-on and projects, you will be awarded a Futuretech course completion certificate.
Course Duration & Course Schedule Date
- Duration: 40 Hours
Course Outline
- Introduction to Azure Synapse Analytics
- Describe Azure Databricks
- Introduction to Azure Data Lake storage
- Describe Delta Lake architecture
- Work with data streams by using Azure Stream Analytics
- Explore compute and storage options for data engineering workloads
- Design a multidimensional schema to optimize analytical workloads
- Code-free transformation at scale with Azure Data Factory
- Populate slowly changing dimensions in Azure Synapse Analytics pipelines
- Designing and Implementing the Serving Layer
- Design a Modern Data Warehouse using Azure Synapse Analytics
- Secure a data warehouse in Azure Synapse Analytics
- Explore Azure Synapse serverless SQL pools capabilities
- Query data in the lake using Azure Synapse serverless SQL pools
- Secure data and manage users in Azure Synapse serverless SQL pools
- Understand big data engineering with Apache Spark in Azure Synapse Analytics
- Ingest data with Apache Spark notebooks in Azure Synapse Analytics
- Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
- Integrate SQL and Apache Spark pools in Azure Synapse Analytics
- Describe Azure Databricks
- Read and write data in Azure Databricks
- Work with DataFrames in Azure Databricks
- Work with DataFrames advanced methods in Azure Databricks
- Use data loading best practices in Azure Synapse Analytics
- Petabyte-scale ingestion with Azure Data Factory
- Data integration with Azure Data Factory or Azure Synapse Pipelines
- Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
- Orchestrate data movement and transformation in Azure Data Factory
- Optimize data warehouse query performance in Azure Synapse Analytics
- Understand data warehouse developer features of Azure Synapse Analytics
- Analyze and optimize data warehouse storage in Azure Synapse Analytics
- Design hybrid transactional and analytical processing using Azure Synapse Analytics
- Configure Azure Synapse Link with Azure Cosmos DB
- Query Azure Cosmos DB with Apache Spark pools
- Query Azure Cosmos DB with serverless SQL pools
- Secure a data warehouse in Azure Synapse Analytics
- Configure and manage secrets in Azure Key Vault
- Implement compliance controls for sensitive data
- Enable reliable messaging for Big Data applications using Azure Event Hubs
- Work with data streams by using Azure Stream Analytics
- Ingest data streams with Azure Stream Analytics
- Process streaming data with Azure Databricks structured streaming
- Create reports with Power BI using its integration with Azure Synapse Analytics
- Use the integrated machine learning process in Azure Synapse Analytics
Reviews
Job Opportunities
FAQ
You have to clear two certification exams to become an Azure Data Engineer. The exam tests your skills to work on the Azure platform.
With the right course and hands-on training, you can clear the Azure data engineer certification in the least possible time. The exam is quite difficult to crack but is not impossible.
If you are attending the Microsoft training that generally occurs for 2 or 3 days, the certification cost is completely free.
The AZ 900 exam will have 40 to 60 questions, and you get a total of 85 minutes to answer them. The passing mark for the exam is 700.
Some of the demanding skills to learn Azure includes:
- Knowledge of Linux
- Architecture of Azure
- Designing Security
- Networking
Azure Data Engineering Certification Course ( DP-203 )
On Request
₹29,999.00
