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Data Engineering on Microsoft Azure (DP-203T00) Certification Training
DP-203 Certification Training
Learn data engineering for working with batch and real-time analytical solutions utilizing Azure data platform technologies with the four-day-long Data Engineering on Microsoft Azure training. Our Azure-authorized instructors begin by explaining core compute and storage technologies for building
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DP-203T00: Data Engineering on Microsoft Azure Course Overview
Vinsys Microsoft Azure Data Engineering training enables you to explore data stored in files in a data lake. you understand ingestion techniques for loading data through the Apache Spark capability in Azure Synapse analytics/Databricks. The detailed intermediate-level course explains how to ingest using Azure Data Factory or Synapse pipelines. It covers multiple ways for transforming data using the same technologies deployed for ingesting. In the end, the training describes the importance of implementing Security for ensuring data protection at rest or in transit. Finally, it lets you create a real-time analytical system for real-time analytical solutions.
The Azure DP-203T00 course also prepares you for the DP-203 exam to secure the Microsoft Azure Data Engineer Associate credential.
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Course Objectives
- Learning compute/storage options for data engineering workloads in Microsoft Azure.
- Running interactive queries using serverless SQL pools.
- Performing data exploration/transformation in Azure Databricks.
- Exploring, transforming, and loading data into the Data Warehouse using Apache Spark.
- Ingesting/loading data into the Data Warehouse.
- Transforming data with Azure Data Factory or Synapse Pipelines.
- Integrating data from Notebooks with Azure Data Factory or Synapse Pipelines.
- Supporting Hybrid Transactional Analytical Processing (HTAP) with Microsoft Azure Synapse Link.
- Performing end-to-end security with Azure Synapse Analytics.
- Performing real-time Stream Processing with Stream Analytics.
- Creating a Stream Processing Solution with Event Hubs and Azure Databricks.
Audience
- Data Professionals/Architects and BI Professionals willing to learn data engineering and building analytical solutions using data platform technologies existing on Microsoft Azure.
- Data Analysts and Data Scientists working with analytical solutions built on Azure.
- Job Role: Data Engineer.
- Those who wish to secure the Microsoft Azure Data Engineer Associate certification.
Eligibility Criteria
- Knowledge of cloud computing and core data concepts.
- Experience with data solutions.
- Must have cleared AZ-900: Azure Fundamentals and DP-900: Microsoft Azure Data Fundamentals exams.
Course Outline
Compute & Storage Options for Data Engineering Workloads
- Microsoft Azure Synapse Analytics introduction
- Azure Databricks
- Azure Data Lake storage introduction
- Delta Lake architecture
- Work with data streams using Azure Stream Analytics
Run Interactive Queries Using Microsoft Azure Synapse Analytics Serverless SQL Pools
- Explore Azure Synapse serverless SQL pools capabilities
- Query data in the lake via Azure Synapse serverless SQL pools
- Create metadata objects in Azure Synapse serverless SQL pools
- Secure data and manage users in Azure Synapse serverless SQL pools
Data Exploration & Transformation in Azure Databricks
- Microsoft Azure Databricks
- Read/Write data in Azure Databricks
- Work with DataFrames
- Work with DataFrames advanced methods
Explore, Transform & Load Data into the Data Warehouse Using Apache Spark
- Big data engineering with Apache Spark in Azure Synapse Analytics
- Ingest data with Apache Spark notebooks
- Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
- Integrate SQL/Apache Spark pools in Azure Synapse Analytics
Ingest & Load Data into the Data Warehouse
- Use data loading best practices in Microsoft Azure Synapse Analytics
- Petabyte-scale ingestion with Azure Data Factory
Transform Data with Azure Data Factory/Azure Synapse Pipelines
- Data integration with Azure Data Factory/Azure Synapse Pipelines.
- Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines.
Orchestrate Data Movement & Transformation in Azure Synapse Pipelines
- Orchestrate data movement/transformation in Azure Data Factory
End-to-end Security with Azure Synapse Analytics
- Secure a data warehouse in Azure Synapse Analytics
- Configure/manage secrets in Azure Key Vault
- Implement compliance controls for sensitive data
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
- Design hybrid transactional/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
Real-time Stream Processing with Stream Analytics
- Enable reliable messaging for Big Data applications through Microsoft Azure Event Hubs
- Work with data streams using Azure streams analytics
- Ingest data streams with Azure streams analytics
Create a Stream Processing Solution with Event Hubs & Azure Databricks
- Process streaming data with Azure Databricks structured streaming
Choose Your Preferred Mode
ONLINE TRAINING
- 4 days Instructor-led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 leaner assistance and support
CORPORATE TRAINING
- Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
- Course, Category, And All-Access Pricing
- Enterprise-Class Learning Management System (LMS)
- Enhanced Reporting For Individuals And Teams
- 24x7 Teaching Assistance And Support
FAQ’s
Why should I learn Data Engineering on Microsoft Azure course from Vinsys?
Vinsys is a globally recognized Corporate and Individual training provider, and an official Microsoft partner for Azure certifications. Our instructor-led online courses, customizable skill-development programs, and 24*7 learner support ensure the most detailed upskilling experience, a must for capitalizing on valuable Azure Data Engineering opportunities.
Will Data Engineers cover the Azure DP-203T00 training from Vinsys?
Vinsys is a Microsoft Learning Partner. It ensures that the course is facilitated only by highly experienced, industry-recognized, and Azure-certified instructors with real-world expertise in Azure Data Engineering.
What's the hourly duration of this Azure course?
32 hours, spread across 4 days.
Does the Azure Data Engineering training prepare you for an advanced or specialty certification?
No, it prepares you for an associate-level Microsoft Certified Azure Data Engineer credential.
Is there an additional exam that must be passed for earning the Microsoft Azure Data Engineer Associate certification?
Only one exam: DP-203: Data Engineering on Microsoft Azure.
Broadly speaking, what skills does the certification exam DP-203 measure?
It tests your abilities for designing, developing, implementing, monitoring, and optimizing data storage/processing. The exam also verifies your skills for designing and implementing data security.
Does the DP-203 exam expire or ever become irrelevant?
The immense knowledge and practical skills you learn continue to help throughout your career. At this stage, no retirement or expiry date has been declared by Microsoft.
Does Vinsys provide any evidence of course participation?
Yes, you get a certificate of attendance from Microsoft.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
Azure Data Engineering proficiency was only possible through hands-on labs, simulations, and the real-world application of skills. These are the key benefits you get out of Microsoft's approved learning partners. I precisely got what I expected from Vinsys
Dylan .PData Engineer
Most Ops-Heads, while zeroing on training providers for their teams, are always concerned about the sense of ownership a third party would display. Thankfully, Vinsys appeared as passionately involved as us, and it showed in the final results. Well done!
Lawrence . SOperations Head
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