Gain the skills you need to become a Microsoft Certified Azure Data Engineer Associate on this accelerated course. In just 4 days, you'll be certified to manage data security and troubleshoot Azure data solutions.
On this all-inclusive course, you'll learn how to design software that will protect your business and ensure speedy disaster recovery. Gain the knowledge needed to implement Azure technology across your business and become an Azure Data Engineer.
With Firebrand's unique Lecture | Lab | Review methodology, you'll learn 40% faster than traditional training and return to the office certified.
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You'll also learn how to:
- Manage and develop data processing
- Manage data security
- Monitor data solutions
- Design Azure data storage solutions
- Design data processing solutions
You will be prepared for and sit exams DP-200 and DP-201 at the Firebrand Training Centre during the course. This is covered by your Certification Guarantee - pass first time or train again for free.
If you're interested in developing and certifying your skills as a Azure Data Engineer, then this course is ideal for you.
Zie Benefits...
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
Zeven redenen waarom jij voor jouw Azure Data Engineer Associate cursus voor Firebrand kiest:
- Jij zal in slechts 4 dagen Azure Data Engineer Associate gecertificeerd zijn. Doordat onze cursussen residentieel zijn kunnen wij langere lesdagen aanbieden en zal je tijdens je verblijf volledig gefocust zijn op jouw cursus
- Onze Azure Data Engineer Associate cursus is all-inclusive. Cursusmaterialen, examens, accommodatie en maaltijden zijn inbegrepen.
- Slaag de eerste keer voor Azure Data Engineer Associate of train gratis opnieuw.Op basis van onze certificeringsgarantie kun je voor het geval je de eerste keer niet slaagt binnen een jaar terugkomen en opnieuw trainen. Je betaalt dan alleen voor accommodatie en examens. De andere kosten zijn inbegrepen.
- Je zal meer over Azure Data Engineer Associate leren. Waar opleidingen elders doorgaans van 9:00 tot 17:00 duren, kan je bij Firebrand Training rekenen op 12 uur training per dag!
- Je zal Azure Data Engineer Associate sneller beheersen. Doordat onze cursussen residentieel zijn word je in korte tijd ondergedompeld in de theorie. Hierdoor zal je volledig gefocust zijn op de cursus en zal je sneller de theorie en praktijk beheersen.
- Je zal voor Azure Data Engineer Associate studeren bij de beste training provider. Firebrand heeft het Q-For kwaliteitlabel, waarmee onze standaarden en professionaliteit op het gebied van training erkend worden. We hebben inmiddels 72,589 professionals getraind en gecertificeerd!
- Je gaat meer doen dan alleen de cursusstof van Azure Data Engineer Associate bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat jij jouw nieuwe kennis direct in jouw werkomgeving kan toepassen.
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
Course DP-201T01-A: Designing an Azure Data Solution
Module 1: Data Platform Architecture Considerations
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, you'll 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
Module 2: Azure Batch Processing Reference Architectures
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, you'll 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
Module 3: Azure Real-Time Reference Architectures
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, you'll 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
Module 4: Data Platform Security Design Considerations
Lessons:
- Defence in depth security approach
- Network level Pprotection
- Identity protection
- Encryption usage
- Advanced threat protection
Lab: Data Platform Security Design Considerations
- Defence in depth security approach
- Network level protection
- Identity protection
- Encryption usage
- Advanced threat protection
After completing this module, you'll be able to:
- Defence in Depth Security Approach
- Network Level Protection
- Identity Protection
- Encryption Usage
- Advanced Threat Protection
Module 5: Designing for Resiliency and Scale
Lessons:
- Design backup and restore strategies
- Optimise network performance
- Design for optimised storage and database performance
- Design for optimised 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
- OptimisenNetwork performance
- Design for optimised storage and database performance
- Design a highly available solution
- Incorporate disaster recovery into architectures
- Design backup and restore strategies
After completing this module, you'll be able to:
- Adjust workload capacity by scaling
- Optimise network performance
- Design for optimised storage and database performance
- Design a highly available solution
- Incorporate disaster recovery into architectures
- Design backup and restore strategies
Module 6: Design for Efficiency and Operations
Lessons:
- Maximising 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
- Maximise 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, you'll be able to:
- Maximise the efficiency of your cloud environment
- Use monitoring and analytics to gain operational insights
- Use automation to reduce effort and error
Course DP-200T01-A: Implementing an Azure Data Solution
Module 1: Azure for the Data Engineer
Lessons:
- Explain the evolving world of data
- Survey the services in the Azure Data Platform
- Identify the tasks that are performed by a data engineer
- Describe the use cases for the cloud in a Case Study
Lab: Azure for the Data Engineer
- Identify the evolving world of data
- Determine the Azure Data Platform Services
- Identify tasks to be performed by a data engineer
- Finalise the data engineering deliverables
After completing this module, you'll be able to:
- Explain the evolving world of data
- Survey the services in the Azure Data Platform
- Identify the tasks that are performed by a data engineer
- Describe the use cases for the cloud in a Case Study
Module 2: Working with Data Storage
Lessons:
- Choose a data storage approach in Azure
- Create an Azure Storage Account
- Explain Azure data lake storage
- Upload data into Azure data lake
Lab: Working with Data Storage
- Choose a data storage approach in Azure
- Create a storage account
- Explain data lake storage
- Upload data into data lake store
After completing this module, you'll be able to:
- Choose a data storage approach in Azure
- Create an Azure Storage Account
- Explain Azure data lake storage
- Upload data into Azure data lake
Module 3: Enabling Team Based Data Science with Azure Databricks
Lessons:
- Explain Azure Databricks and Machine Learning Platforms
- Describe the Team Data Science process
- Provision Azure Databricks and workspaces
- Perform data preparation tasks
Lab: Enabling Team Based Data Science with Azure Databricks
- Explain Azure Databricks and Machine Learning Platforms
- Describe the Team Data Science process
- Provision Azure Databricks and workspaces
- Perform data preparation tasks
After completing this module, you'll be able to:
- Explain Azure Databricks
- Describe the Team Data Science Process
- Provision Azure Databricks and workspaces
- Perform data preparation tasks
Module 4: Building Globally Distributed Databases with Cosmos DB
Lessons:
- Create an Azure Cosmos DB database built to scale
- Insert and query data in your Azure Cosmos DB database
- Provision a .NET Core app for Cosmos DB in Visual Studio Code
- Distribute your data globally with Azure Cosmos DB
Lab: Building Globally Distributed Databases with Cosmos DB
- Create an Azure Cosmos DB
- Insert and query data in Azure Cosmos DB
- Build a .Net Core App for Azure Cosmos DB using VS Code
- Distribute data globally with Azure Cosmos DB
After completing this module, you'll be able to:
- Create an Azure Cosmos DB database built to scale
- Insert and query data in your Azure Cosmos DB database
- Build a .NET Core app for Azure Cosmos DB in Visual Studio Code
- Distribute your data globally with Azure Cosmos DB
Module 5: Working with Relational Data Stores in the Cloud
Lessons:
- SQL Database and SQL data warehouse
- Provision an Azure SQL database to store data
- Provision and load data into Azure SQL data warehouse
Lab: Working with Relational Data Stores in the Cloud
- Explain SQL Database and SQL data warehouse
- Create an Azure SQL Database to store data
- Provision and load data into Azure SQL Data Warehouse
After completing this module, you'll be able to:
- Explain SQL Database and SQL Data Warehouse
- Provision an Azure SQL database to store application data
- Provision and load data in Azure SQL data warehouse
- Import data into Azure SQL data warehouse using PolyBase
Module 6: Performing Real-Time Analytics with Stream Analytics
Lessons:
- Explain data streams and event processing
- Querying streaming data using Stream Analytics
- How to process data with Azure Blob and Stream Analytics
- How to process data with Event Hubs and Stream Analytics
Lab: Performing Real-Time Analytics with Stream Analytics
- Explain data streams and event processing
- Querying streaming data using Stream Analytics
- Process data with Azure Blob and Stream Analytics
- Process data with Event Hubs and Stream Analytics
After completing this module, you'll be able to:
- Explain data streams and event processing
- Querying streaming data using Stream Analytics
- How to process data with Event Hubs and Stream Analytics
- How to process data with Azure Blob and Stream Analytics
Module 7: Orchestrating Data Movement with Azure Data Factory
Lessons:
- Explain how Azure Data Factory works
- Create linked services and datasets
- Create pipelines and activities
- Azure Data Factory pipeline execution and triggers
Lab: Orchestrating Data Movement with Azure Data Factory
- Explain how Data Factory works
- Create Linked Services and datasets
- Create pipelines and activities
- Azure Data Factory pipeline execution and triggers
After completing this module, you'll be able to:
- Explain how Azure Data Factory works
- Create Linked Services and datasets
- Create pipelines and activities
- Azure Data Factory pipeline execution and triggers
Module 8: Securing Azure Data Platforms
Lessons:
- Configuring network security
- Configuring authentication
- Configuring authorisation
- Auditing security
Lab: Securing Azure Data Platforms
- Configure network security
- Configure authentication
- Configure authorisation
- Explore SQL server books online
After completing this module, you'll be able to:
- Configure authentication
- Use storage account keys
- Use shared access signatures
- Configure authorisation
- Control network access
- Understand transport-level encryption with HTTPS
- Understand Advanced Threat Detection
Module 9: Monitoring and Troubleshooting Data Storage and Processing
Lessons:
- Data engineering troubleshooting approach
- Azure monitoring capabilities
- Troubleshoot common data issues
- Troubleshoot common data processing issues
Lab: Monitoring and Troubleshooting Data Storage and Processing
- Explain the data engineering troubleshooting approach
- Explain the monitoring capabilities that are available
- Troubleshoot common data storage issues
- Troubleshoot common data processing issues
After completing this module, you'll be able to:
- Explain the monitoring capabilities that are available
- Explain the data engineering troubleshooting approach
- Troubleshoot common data storage issues
- Troubleshoot common data processing issues
Module 10: Integrating and Optimising Data Platforms
Lessons:
- Integrating data platforms
- Optimising data stores
- Optimise streaming data
- Manage disaster recovery
Lab: Integrating and Optimising Data Platforms
- Integrate data platforms
- Optimise data stores
- Optimise streaming data
- Manage disaster recovery
After completing this module, you'll be able to:
- Integrate data platforms
- Optimise relational data stores
- Optimise NoSQL data stores
- Optimise streaming data stores
- Manage disaster recovery
Zie Exam Track...
Before attending this course, you should have technical knowledge equivalent to:
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Firebrand is een meeslepende omgeving en vereist betrokkenheid. Sommige vereisten zijn slechts richtlijnen; je zult misschien je unieke ervaring, houding en vastberadenheid vinden die je in staat stelt om te slagen in je versnelde loop.
Zie Wanneer...
Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 72,589 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.77% ons te beoordelen als 'boven verwachting'
"Again, another lightening fast course with a certificate in the end. The trainers amaze me everytime, on how well-skilled they are. Keep up the good work guys!"
Thomas Geens, SECOTRON. (10/9/2018 t/m 14/9/2018)
"Really good training"
Bram Cooreman, All Buro Solutions. (10/9/2018 t/m 14/9/2018)
"Intensive, focused and effective. Days are long, but managable. The Instructor is very helpful and approachable. His knowledge level of the topic is pro, period."
Jan Nakolinna, Boliden Kevitsa. (28/5/2018 t/m 2/6/2018)
"The speed is pretty fast and days could be a few hours shorter. But still nice and fast way to do the training."
Pasi Angeria. (28/5/2018 t/m 2/6/2018)
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Anoniem, Projinit IT (19/3/2018 t/m 29/3/2018)
