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    DP-201: Designing an Azure Data Solution

    Azure data engineers are responsible for data-related tasks that include designing Azure data storage solutions that use relational and non-relational data stores, batch and real-time data processing solutions, and data security and compliance solutions.Enroll & Get Certified now!

    • ✔ Course Duration : 32 hrs
    • ✔ Training Options : Live Online / Self-Paced / Classroom
    • ✔ Certification Pass : Guaranteed

    DP-201: Designing an Azure Data Solution

    Azure data engineers are responsible for data-related tasks that include designing Azure data storage solutions that use relational and non-relational data stores, batch and real-time data processing solutions, and data security and compliance solutions.

    What you will Learn

    • Design and build secure, scalable and performance solutions
    • Work with design and architecture patterns to batch process data
    • Use Event Hubs and Stream Analytics to deliver real-time analysis of data
    • Identify network bottlenecks
    • Optimizing storage performance
    • Design an Azure architecture that is operationally-efficient

    PREREQUISITES

    • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the Azure Fundamentals and DP-200: Implementing an Azure Data Solution

    CURRICULUM

    In this module, the students will learn how to design and build secure and scalable solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout your architecture regardless of technology choice, can help you design, build, and continuously improve your architecture for an organizations benefit.

    Lessons
    • Core Principles of Creating Architectures
    • Design with Security in Mind
    • Performance and Scalability
    • Design for availability and recoverability
    • Design for efficiency and operations
    • Case Study
    Lab : Case Study
    • Core principles for creating architectures
    • Design with security in mind
    • Consider performance and scalability
    • Design for availability and recoverability
    • Design for efficiency and operations
    After completing this module, students will be able to:
    • Describe the core principles for creating architectures
    • Design with Security in mind
    • Consider performance and scalability
    • Design for availability and recoverability
    • Design for efficiency and operations
    • Understand the course Case Study

    In this module, the student will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The student will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.

    Lessons
    • Lambda architectures from a Batch Mode Perspective
    • Design an Enterprise BI solution in Azure
    • Automate enterprise BI solutions in Azure
    • Architect an Enterprise-grade Conversational Bot in Azure
    Lab : Architect an Enterprise-grade Conversational Bot in Azure
    • Lambda architectures from a Batch Mode Perspective
    • Designing an Enterprise BI solution in Azure
    • Automate an Enterprise BI solution in Azure
    • Automate an Enterprise BI solution in Azure
    After completing this module, students will be able to:
    • Describe Lambda architectures from a Batch Mode Perspective
    • Design an Enterprise BI solution in Azure
    • Automate enterprise BI solutions in Azure
    • Architect an Enterprise-grade conversational bot in Azure

    In this module, the student will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture the streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.

    Lessons
    • Lambda architectures for a Real-Time Perspective
    • Lambda architectures for a Real-Time Perspective
    • Design a stream processing pipeline with Azure Databricks
    • Create an Azure IoT reference architecture
    Lab : Azure Real-Time Reference Architectures
    • Describe Lambda architectures for a Real-Time Mode Perspective
    • Architect a stream processing pipeline with Azure Stream Analytics
    • Design a stream processing pipeline with Azure Databricks
    • Create an Azure IoT reference architecture
    After completing this module, students will be able to:
    • Lambda architectures for a Real-Time Mode Perspective
    • Architect a stream processing pipeline with Azure Stream Analytics
    • Design a stream processing pipeline with Azure Databricks
    • Create an Azure IoT reference architecture

    In this module, the student will learn how to incorporate security into your architecture design and discover the tools that Azure provides to help you create a secure environment through all the layers of your architecture.

    Lessons
    • Defense in Depth Security Approach
    • Network Level Protection
    • Identity Protection
    • Encryption Usage
    • Advanced Threat Protection
    Lab : Data Platform Security Design Considerations
    • Defense in Depth Security Approach
    • Network Level Protection
    • Identity Protection
    • Encryption Usage
    • Advanced Threat Protection
    After completing this module, students will be able to:
    • Defense in Depth Security Approach
    • Network Level Protection
    • Identity Protection
    • Encryption Usage
    • Advanced Threat Protection

    In this module, student will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing your storage performance are important to ensure your users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into your architecture.

    Lessons
    • Design Backup and Restore strategies
    • Optimize Network Performance
    • Design for Optimized Storage and Database Performance
    • Design for Optimized Storage and Database Performance
    • Incorporate Disaster Recovery into Architectures
    • Design Backup and Restore strategies
    Lab : Designing for Resiliency and Scale
    • Adjust Workload Capacity by Scaling
    • Optimize Network Performance
    • Design for Optimized Storage and Database Performance
    • Design a Highly Available Solution
    • Incorporate Disaster Recovery into Architectures
    • Design Backup and Restore strategies
    After completing this module, students will be able to:
    • Adjust Workload Capacity by Scaling
    • Optimize Network Performance
    • Design for Optimized Storage and Database Performance
    • Design a Highly Available Solution
    • Incorporate Disaster Recovery into Architectures
    • Design Backup and Restore strategies

    In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend, they will understand how to design architectures that eliminates waste and gives them full visibility into what is being utilized in your organizations Azure environment.

    Lessons
    • Maximizing the Efficiency of your Cloud Environment
    • Use Monitoring and Analytics to Gain Operational Insights
    • Use Automation to Reduce Effort and Error
    Lab : Design for Efficiency and Operations
    • Maximize the Efficiency of your Cloud Environment
    • Use Monitoring and Analytics to Gain Operational Insights
    • Use Automation to Reduce Effort and Error
    After completing this module, students will be able to:
    • Maximize the Efficiency of your Cloud Environment
    • Use Monitoring and Analytics to Gain Operational Insights
    • Use Automation to Reduce Effort and Error

    FAQs

    You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
    1. Online ,By deposit the mildain bank account
    2. Pay by cash team training center location

    Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

    Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

    You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

    We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

    Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

    Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

    Just give us a CALL at +91 8447121833 OR email at info@mildaintrainings.com

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  • Real-life Case Studies
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    We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.
  • Certification
    Sucessfully complete your final course project and Mildaintrainings will give you Course completion certificate.
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