DP-203 : Data Engineering on Microsoft Azure Training
Advance cloud data engineering skills with DP-203 Data Engineering on Microsoft Azure Training from Multisoft Systems covering data storage, pipelines, transformation, Azure Data Factory, Synapse Analytics, Data Lake, security and monitoring. Develop hands-on expertise to build scalable data solutions and prepare effectively for modern Azure data engineering responsibilities.
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Course Highlights
- Instructor-led Online Training
- Project Based Learning
- Certified & Experienced Trainers
- Course Completion Certificate
- Customized Learning Schedule
- Doubt-Clearing Sessions
DP-203 : Data Engineering on Microsoft Azure Training Course Overview
Multisoft Systems is offering project-driven training on DP-203 : Data Engineering on Microsoft Azure. Ideal for Data architects, Data analysts who are responsible for building Microsoft Azure, Data scientists who work with analytical solutions, and Business intelligence professionals who want to learn data engineering, the offered course tells how to run interactive queries using serverless SQL pools and how to describe big data engineering with Apache Spark in Azure Synapse Analytics. You will get to know the methodologies of creating real-time analytical systems and the technologies that are used to ingest data.
Our offered course demands in-depth knowledge of cloud computing, core data concepts, and experience with data solutions. Multisoft insists you pursue this course after you have earned the AZ-900 - Azure Fundamentals and DP-900 - Microsoft Azure Data Fundamentals courses.
DP-203 Data Engineering on Microsoft Azure Course Objectives:
- How to run interactive queries using serverless SQL pools?
- How to transform data with Azure Data Factory or Azure Synapse Pipelines?
- How to perform real-time Stream Processing with Stream Analytics?
- How to integrate Data from Notebooks with Azure Synapse Pipelines or Azure Data Factory?
- How to describe big data engineering with Apache Spark in Azure Synapse Analytics?
- How to transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics?
- How to perform data Exploration and Transformation in Azure Databricks?
- How to create metadata objects in Azure Synapse serverless SQL pools
- How to secure data and manage users in Azure Synapse serverless SQL pools?
- How to work with DataFrames advanced methods in Azure Databricks?
- How to perform end-to-end security with Azure Synapse Analytics?
- How to ingest and load Data into the Data Warehouse?
DP-203 Data Engineering on Microsoft Azure Online Training
- 32 Hrs. Instructor-led Online Training
- Recorded Videos After Training
- Digital Learning Material
- Course Completion Certificate
- Lifetime e-Learning Access
- 24x7 After Training Support
Target audience
- Data architects
- Data professionals
- Business intelligence professionals who want to learn data engineering
- Data analysts who are responsible for building Microsoft Azure
- Data scientists who work with analytical solutions
DP-203 Data Engineering on Microsoft Azure Course Prerequisites
- You need to have in-depth knowledge of cloud computing to pursue this DP-203: Data Engineering on Microsoft Azure Online Training. Knowing core data concepts and having professional experience with data solutions are necessary for earning this course.
- AZ-900 - Azure Fundamentals
- DP-900 - Microsoft Azure Data Fundamentals
DP-203 Data Engineering on Microsoft Azure Course Certification
- Multisoft Systems will provide you with a training completion certificate after completing the DP-203: Data Engineering on Microsoft Azure Training.
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DP-203 : Data Engineering on Microsoft Azure Training Course curriculum
Curriculum Designed by Experts
Multisoft Systems is offering project-driven training on DP-203 : Data Engineering on Microsoft Azure. Ideal for Data architects, Data analysts who are responsible for building Microsoft Azure, Data scientists who work with analytical solutions, and Business intelligence professionals who want to learn data engineering, the offered course tells how to run interactive queries using serverless SQL pools and how to describe big data engineering with Apache Spark in Azure Synapse Analytics. You will get to know the methodologies of creating real-time analytical systems and the technologies that are used to ingest data.
Our offered course demands in-depth knowledge of cloud computing, core data concepts, and experience with data solutions. Multisoft insists you pursue this course after you have earned the AZ-900 - Azure Fundamentals and DP-900 - Microsoft Azure Data Fundamentals courses.
DP-203 Data Engineering on Microsoft Azure Course Objectives:
- How to run interactive queries using serverless SQL pools?
- How to transform data with Azure Data Factory or Azure Synapse Pipelines?
- How to perform real-time Stream Processing with Stream Analytics?
- How to integrate Data from Notebooks with Azure Synapse Pipelines or Azure Data Factory?
- How to describe big data engineering with Apache Spark in Azure Synapse Analytics?
- How to transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics?
- How to perform data Exploration and Transformation in Azure Databricks?
- How to create metadata objects in Azure Synapse serverless SQL pools
- How to secure data and manage users in Azure Synapse serverless SQL pools?
- How to work with DataFrames advanced methods in Azure Databricks?
- How to perform end-to-end security with Azure Synapse Analytics?
- How to ingest and load Data into the Data Warehouse?
DP-203 Data Engineering on Microsoft Azure Online Training
- 32 Hrs. Instructor-led Online Training
- Recorded Videos After Training
- Digital Learning Material
- Course Completion Certificate
- Lifetime e-Learning Access
- 24x7 After Training Support
Target audience
- Data architects
- Data professionals
- Business intelligence professionals who want to learn data engineering
- Data analysts who are responsible for building Microsoft Azure
- Data scientists who work with analytical solutions
DP-203 Data Engineering on Microsoft Azure Course Prerequisites
- You need to have in-depth knowledge of cloud computing to pursue this DP-203: Data Engineering on Microsoft Azure Online Training. Knowing core data concepts and having professional experience with data solutions are necessary for earning this course.
- AZ-900 - Azure Fundamentals
- DP-900 - Microsoft Azure Data Fundamentals
DP-203 Data Engineering on Microsoft Azure Course Certification
- Multisoft Systems will provide you with a training completion certificate after completing the DP-203: Data Engineering on Microsoft Azure Training.
Course Prerequisite
Course Target Audience
Course Content
- Virtual Machines in Azure
- ARM Templates
- Azure Key Vault
- Virtual Machine – Disk Encryption
- Azure Batch Service
- Azure Managed Kubernetes Service
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- Azure Web App Service
- Azure App Service Plan
- Azure Mobiles Apps – Offline Data Sync
- Azure Functions
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- Azure Login Apps
- Azure Search
- Azure API Management
- Azure Service Bus
- Azure Storage Queue
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Microsoft DP-203T00 Training (MCQ) Assessment
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