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DP-200 Implementing an Azure Data Solution

DP-200T01: Implementing an Azure Data Solution Course

DP-200T01: Implementing an Azure Data Solution Certification

The DP-200T01: Implementing an Azure Data Solution training course gives you knowledge and skills of provisioning data storage services, transforming data, ingesting streaming and batch data, security requirements, performance bottlenecks, data retention policies and accessing external data sources. DP-200T01: Implementing an Azure Data Solution  certification training course is ideal of cloud engineers and cloud administrators working as Azure network architect, database engineer, data platform designer, data engineer etc.

This certification training course helps in gaining knowledge in different areas such as Azure services – Azure Cosmos DB, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Stream Analytics and Azure Blob storage. 

DP-200T01: Implementing an Azure Data Solution training course covers Implement Data Storage Solutions, Manage and Develop Data Processing, Monitor and Optimize Data Solutions. This certification course helps you to develop fundamental skills in non-relational data stores, relational data stores, data security, batch processing solutions, streaming solutions, data storage, data processing and Optimize of Azure data solutions.

  • Training: get practical technical skills
  • Receive a certificate of course attendance
  • Small class size: increased instructor interaction
  • Authorised test centre: exams taken at our premises
  • Expert trainers: imparting real-world experience

Relevant work experience and technical knowledge or AZ-900 Azure Fundamentals certification training course.

There is no certification exam associated with this training course.

DP-200 Course Material
  • Implement non-relational data stores
  • Implement relational data stores
  • Manage data security
  • Develop batch processing solutions
  • Develop streaming solutions
  • Monitor data storage
  • Monitor data processing
  • Optimize of Azure data solutions

 

This course is likely to add to the employment-related skills of the participants. The skills developed are likely to be used in the course of being an employee or working in a business.

  • IT professionals
  • Azure engineers
  • Data engineers
  • Data analysts
  • Identity management specialists
  • Business intelligence professionals
  • Anyone interested in learning Microsoft Azure data solutions
  • 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
  • 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 polybase
  • Implement data masking
  • Encrypt data at rest and in motion
  • Develop batch processing solutions by using Data Factory and Azure Databricks
  • Ingest data by using polybase
  • 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
  • Configure input and output
  • Select the appropriate built-in functions
  • Implement event processing by using Stream Analytics
  • Monitor relational and non-relational data store
  • 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
  • Monitor Data Factory pipelines
  • Monitor Azure Databricks
  • Monitor Stream Analytics
  • Configure Azure Monitor alerts
  • Implement auditing by using Azure Log Analytics
  • Troubleshoot data partitioning bottlenecks
  • Optimize Data Lake Storage Gen2
  • Optimize Stream Analytics
  • Optimize Azure Synapse Analytics
  • Manage the data lifecycle
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