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DP 200 Implementing an Azure Data Solution Training Course Overview
DP-200: Implementing an Azure Data Solution training by Multisoft Systems is designed for professionals aiming to become Microsoft Certified Azure Data Engineers. This course provides a comprehensive understanding of designing and implementing data solutions on Microsoft Azure, including data storage, processing, security, and monitoring. The training covers essential concepts such as Azure Data Lake, Azure SQL Database, Cosmos DB, and Azure Synapse Analytics. Participants will gain hands-on experience in data ingestion, transformation, and integration using Azure Data Factory, Databricks, and other Azure data services. The course also focuses on implementing data security, compliance, and monitoring strategies to ensure efficient data governance. Guided by industry experts, this course equips learners with practical knowledge of configuring and managing data processing solutions, optimizing data storage solutions, and implementing data retention policies. The curriculum aligns with Microsoft’s official certification requirements, preparing candidates for the DP-200 exam.
Ideal for data engineers, cloud professionals, and IT specialists, this training enhances career prospects by validating expertise in Azure data solutions. Enroll today with Multisoft Systems to gain hands-on skills and become a certified Azure Data Engineer, ready to build scalable and secure data solutions on the Microsoft Azure platform.
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DP 200 Implementing an Azure Data Solution Training Course curriculum
Curriculum Designed by Experts
DP-200: Implementing an Azure Data Solution training by Multisoft Systems is designed for professionals aiming to become Microsoft Certified Azure Data Engineers. This course provides a comprehensive understanding of designing and implementing data solutions on Microsoft Azure, including data storage, processing, security, and monitoring. The training covers essential concepts such as Azure Data Lake, Azure SQL Database, Cosmos DB, and Azure Synapse Analytics. Participants will gain hands-on experience in data ingestion, transformation, and integration using Azure Data Factory, Databricks, and other Azure data services. The course also focuses on implementing data security, compliance, and monitoring strategies to ensure efficient data governance. Guided by industry experts, this course equips learners with practical knowledge of configuring and managing data processing solutions, optimizing data storage solutions, and implementing data retention policies. The curriculum aligns with Microsoft’s official certification requirements, preparing candidates for the DP-200 exam.
Ideal for data engineers, cloud professionals, and IT specialists, this training enhances career prospects by validating expertise in Azure data solutions. Enroll today with Multisoft Systems to gain hands-on skills and become a certified Azure Data Engineer, ready to build scalable and secure data solutions on the Microsoft Azure platform.
- Design and implement data storage solutions using Azure Data Lake, Azure SQL Database, and Cosmos DB.
- Configure and optimize Azure Synapse Analytics for large-scale data warehousing and analytics.
- Develop data processing solutions using Azure Data Factory, Azure Databricks, and Azure Stream Analytics.
- Implement data security and compliance by managing encryption, authentication, and role-based access control (RBAC).
- Configure data monitoring and troubleshooting using Azure Monitor and Azure Log Analytics.
- Integrate and transform data using ETL and ELT processes in Azure environments.
- Optimize data storage performance and cost management in Azure-based solutions.
Course Prerequisite
- Basic knowledge of Microsoft Azure services
- Understanding of relational and non-relational databases
Course Target Audience
- Data Engineers
- Cloud Engineers
- Database Administrators
- Big Data Professionals
- Azure Solution Architects
- Business Intelligence Professionals
- Data Analysts
- IT Professionals
- Machine Learning Engineers
- Developers Working with Azure Data Services
Course Content
1.1 Implement Non-Relational Data Stores
- Implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage
- Implement data distribution and partitions
- Implement a consistency model in Cosmos DB
- Provision a non-relational data store
- Provide access to data to meet security requirements
- Implement for high availability, disaster recovery, and global distribution
1.2 Implement Relational Data Stores
- Provide access to data to meet security requirements
- Implement for high availability and disaster recovery
- Implement data distribution and partitions for azure synapse analytics
- Implement poly base
1.3 Manage Data Security
- Implement data masking
- Encrypt data at rest and in motion
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2.1 Develop Batch Processing Solutions
- Develop batch processing solutions by using Data Factory and Azure DatabricksIngest data by using Poly Base
- Implement the integration runtime for Data Factory
- Create linked services and datasets
- Create pipelines and activities
- Create and schedule triggers
- Implement Azure Databricks clusters, notebooks, jobs, and autoscaling
- Ingest data into Azure Databricks
2.2 Develop Streaming Solutions
- Configure input and output
- Select the appropriate built-in functions
- Implement event processing by using stream analytics
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3.1 Monitor Data Storage
- Monitor relational and non-relational data stores
- Implement blob storage monitoring
- Implement data lake storage gen2 monitoring
- Implement azure synapse analytics monitoring
- Implement cosmos DB monitoring
- Configure azure monitor alerts
- Implement auditing by using azure log analytics
3.2 Monitor Data Processing
- Monitor Data Factory pipelines
- Monitor Azure Databricks
- Monitor Stream Analytics
- Configure Azure Monitor alerts
- Implement auditing by using Azure Log Analytics
3.3 Optimize of Azure Data Solutions
- Troubleshoot data partitioning bottlenecks
- Optimize data lake storage gen2
- Optimize stream analytics
- Optimize azure synapse analytics
- Manage the data lifecycle
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DP 200 Implementing an Azure Data Solution Training (MCQ) Assessment
This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :
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- Automated scoring and grading to save time
- Time limits and countdown timers to manage duration.
DP 200 Implementing an Azure Data Solution Corporate Training
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DP 200 Implementing an Azure Data Solution Training FAQ's
DP-200 training by Multisoft Systems is designed to equip professionals with skills in Azure data storage, processing, security, and monitoring. It prepares learners for the Microsoft DP-200 certification exam and enhances expertise in managing Azure-based data solutions.
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