Data Engineering On Microsoft Azure DP-203 Certification Overview

Course syllabus

Who it’s for

What’s included

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Data Engineering on Microsoft Azure DP203 Course Outline

Module 1: Introduction to Data Engineering on Azure

  • Introduction
  • What is Data Engineering
  • Important Data Engineering Concepts
  • Data Engineering in Microsoft Azure

Module 2: Introduction to Azure Data Lake Storage Gen2

  • Introduction
  • Understand Azure Data Lake Storage Gen2
  • Enable Azure Data Lake Storage Gen2 in Azure Storage
  • Compare Azure Data Lake Store to Azure Blob Storage
  • Understand the Stages for Processing Big Data
  • Use Azure Data Lake Storage Gen2 in Data Analytics Workloads

Module 3: Introduction to Azure Synapse Analytics

  • Introduction
  • What are Azure Synapse Analytics
  • How Azure Synapse Analytics Works
  • When to Use Azure Synapse Analytics
  • Exercise - Explore Azure Synapse Analytics

Module 4: Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake

  • Introduction
  • Understand Azure Synapse Serverless SQL Pool Capabilities and Use Cases
  • Query Files Using a Serverless SQL Pool
  • Create External Database Objects
  • Exercise - Query Files Using a Serverless SQL Pool

Module 5: Use Azure Synapse Serverless SQL Pools to Transform Data in a Data Lake

  • Introduction
  • Transform Data Files with the CREATE EXTERNAL TABLE AS SELECT Statement
  • Encapsulate Data Transformations in a Stored Procedure
  • Include a Data Transformation Stored Procedure in a Pipeline
  • Exercise - Transform Files Using a Serverless SQL Pool

Module 6: Create a Lake Database in Azure Synapse Analytics

  • Introduction
  • Understand Lake Database Concepts
  • Explore Database Templates
  • Create a Lake Database
  • Use a Lake Database
  • Exercise - Analyse Data in a Lake Database

Module 7: Secure Data and Manage Users in Azure Synapse Serverless SQL Pools

  • Introduction
  • Choose an Authentication Method in Azure Synapse Serverless SQL Pools
  • Manage Users in Azure Synapse Serverless SQL Pools
  • Manage User Permissions in Azure Synapse Serverless SQL Pools

Module 8: Analyse Data with Apache Spark in Azure Synapse Analytics

  • Introduction
  • Get to Know Apache Spark
  • Use Spark in Azure Synapse Analytics
  • Analyse Data with Spark
  • Visualise Data with Spark
  • Exercise - Analyse Data with Spark

Module 9: Transform Data with Spark in Azure Synapse Analytics

  • Introduction
  • Modify and Save DataFrames
  • Partition Data Files
  • Transform Data with SQL
  • Exercise - Transform Data with Spark in Azure Synapse Analytics

Module 10: Use Delta Lake in Azure Synapse Analytics

  • Introduction
  • Understand Delta Lake
  • Create Delta Lake Tables
  • Create Catalog Tables
  • Use Delta Lake with Streaming Data
  • Use Delta Lake in a SQL Pool
  • Exercise - Use Delta Lake in Azure Synapse Analytics

Module 11: Build a Data Pipeline in Azure Synapse Analytics

  • Introduction
  • Understand Pipelines in Azure Synapse Analytics
  • Create a Pipeline in Azure Synapse Studio
  • Define Data Flows
  • Run a Pipeline
  • Exercise - Build a Data Pipeline in Azure Synapse Analytics

Module 12: Use Spark Notebooks in an Azure Synapse Pipeline

  • Introduction
  • Understand Synapse Notebooks and Pipelines
  • Use a Synapse Notebook Activity in a Pipeline
  • Use Parameters in a Notebook
  • Exercise - Use an Apache Spark Notebook in a Pipeline

Module 13: Introduction to Azure Synapse Analytics

  • Introduction
  • What are Azure Synapse Analytics
  • How Azure Synapse Analytics Works
  • When to Use Azure Synapse Analytics
  • Exercise - Explore Azure Synapse Analytics

Module 14: Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake

  • Introduction
  • Understand Azure Synapse Serverless SQL Pool Capabilities and Use Cases
  • Query Files Using a Serverless SQL Pool
  • Create External Database Objects
  • Exercise - Query Files Using a Serverless SQL Pool

Module 15: Analyse Data with Apache Spark in Azure Synapse Analytics

  • Introduction
  • Get to Know Apache Spark
  • Use Spark in Azure Synapse Analytics
  • Analyse Data with Spark
  • Visualise Data with Spark
  • Exercise - Analyse Data with Spark

Module 16: Use Delta Lake in Azure Synapse Analytics

  • Introduction
  • Understand Delta Lake
  • Create Delta Lake Tables
  • Create Catalog Tables
  • Use Delta Lake with Streaming Data
  • Use Delta Lake in a SQL Pool
  • Exercise - Use Delta Lake in Azure Synapse Analytics

Module 17: Analyse Data in a Relational Data Warehouse

  • Introduction
  • Design a Data Warehouse Schema
  • Create Data Warehouse Tables
  • Load Data Warehouse Tables
  • Query a Data Warehouse
  • Exercise - Explore a Data Warehouse

Module 18: Build a Data Pipeline in Azure Synapse Analytics

  • Introduction
  • Understand Pipelines in Azure Synapse Analytics
  • Create a Pipeline in Azure Synapse Studio
  • Define Data Flows
  • Run a Pipeline
  • Exercise - Build a Data Pipeline in Azure Synapse Analytics

Module 19: Analyse Data in a Relational Data Warehouse

  • Introduction
  • Design a Data Warehouse Schema
  • Create Data Warehouse Tables
  • Load Data Warehouse Tables
  • Query a Data Warehouse
  • Exercise - Explore a Data Warehouse

Module 20: Load Data into a Relational Data Warehouse

  • Introduction
  • Load Staging Tables
  • Load Dimension Tables
  • Load Time Dimension Tables
  • Load Slowly Changing Dimensions
  • Load Fact Tables
  • Perform Post Load Optimisation
  • Exercise - Load Data into a Relational Data Warehouse

 

Module 21: Manage and Monitor Data Warehouse Activities in Azure Synapse Analytics

  • Introduction
  • Scale Compute Resources in Azure Synapse Analytics
  • Pause Compute in Azure Synapse Analytics
  • Manage Workloads in Azure Synapse Analytics
  • Use Azure Advisor to Review Recommendations
  • Use Dynamic Management Views to Identify and Troubleshoot Query Performance

Module 22: Secure a Data Warehouse in Azure Synapse Analytics

  • Introduction
  • Understand Network Security Options for Azure Synapse Analytics
  • Configure Conditional Access
  • Configure Authentication
  • Manage Authorisation Through Column and Row Level Security
  • Exercise - Manage Authorisation Through Column and Row Level Security
  • Manage Sensitive Data with Dynamic Data Masking
  • Implement Encryption in Azure Synapse Analytics

Module 23: Plan Hybrid Transactional and Analytical Processing Using Azure Synapse Analytics

  • Introduction
  • Understand Hybrid Transactional and Analytical Processing Patterns
  • Describe Azure Synapse Link

Module 24: Implement Azure Synapse Link with Azure Cosmos DB

  • Introduction
  • Enable Cosmos DB Account to Use Azure Synapse Link
  • Create an Analytical Store Enabled Container
  • Create a Linked Service for Cosmos DB
  • Query Cosmos DB Data with Spark
  • Query Cosmos DB with Synapse SQL
  • Exercise - Implement Azure Synapse Link for Cosmos DB

Module 25: Implement Azure Synapse Link for SQL

  • Introduction
  • What Is Azure Synapse Link for SQL?
  • Configure Azure Synapse Link for Azure SQL Database
  • Configure Azure Synapse Link for SQL Server 2022
  • Exercise - Implement Azure Synapse Link for SQL

Module 26: Get Started with Azure Stream Analytics

  • Introduction
  • Understand Data Streams
  • Understand Event Processing
  • Understand Window Functions
  • Exercise - Get Started with Azure Stream Analytics

Module 27: Ingest Streaming Data Using Azure Stream Analytics and Azure Synapse Analytics

  • Introduction
  • Stream Ingestion Scenarios
  • Configure Inputs and Outputs
  • Define a Query to Select, Filter, and Aggregate Data
  • Run a Job to Ingest Data
  • Exercise - Ingest Streaming Data into Azure Synapse Analytics

Module 28: Visualise Real-Time Data with Azure Stream Analytics and Power BI

  • Introduction
  • Use a Power BI Output in Azure Stream Analytics
  • Create a Query for Real-Time Visualisation
  • Create Real-Time Data Visualisations in Power BI
  • Exercise - Create a Real-Time Data Visualisation

 

Module 29: Explore Azure Databricks

  • Introduction
  • Get Started with Azure Databricks
  • Identify Azure Databricks Workloads
  • Understand Key Concepts
  • Data Governance Using Unity Catalog and Microsoft Purview
  • Exercise - Explore Azure Databricks

Module 30: Perform Data Analysis with Azure Databricks

  • Introduction
  • Ingest Data with Azure Databricks
  • Data Exploration Tools in Azure Databricks
  • Data Analysis Using DataFrame APIs
  • Exercise - Explore Data with Azure Databricks

Module 31: Use Apache Spark in Azure Databricks

  • Introduction
  • Get to Know Spark
  • Create a Spark Cluster
  • Use Spark in Notebooks
  • Use Spark to Work with Data Files
  • Visualise Data
  • Exercise - Use Spark in Azure Databricks

Module 32: Manage Data with Delta Lake

  • Introduction
  • Get Started with Delta Lake
  • Manage ACID Transactions
  • Implement Schema Enforcement
  • Data Versioning and Time Travel in Delta Lake
  • Data Integrity with Delta Lake
  • Exercise - Use Delta Lake in Azure Databricks

Module 33: Build Data Pipelines with Delta Live Tables

  • Introduction
  • Explore Delta Live Tables
  • Data Ingestion and Integration
  • Real-Time Processing
  • Exercise - Create a Data Pipeline with Delta Live Tables

Module 34: Deploy Workloads with Azure Databricks Workflows

  • Introduction
  • What Are Azure Databricks Workflows?
  • Understand Key Components of Azure Databricks Workflows
  • Explore the Benefits of Azure Databricks Workflows
  • Deploy Workloads Using Azure Databricks Workflows
  • Exercise - Create an Azure Databricks Workflow
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Who should attend this Data Engineering on Microsoft Azure DP203 Training Course?

The Data Engineering on Microsoft Azure DP-203 Training Course is designed for individuals who want to learn how to design and implement data solutions using Microsoft Azure's data engineering services and tools. This Microsoft Training Course can be beneficial to a wide range of professionals, including:

  • Data Engineers
  • Database Administrators
  • Data Integration Specialists
  • Data Architects
  • Database Developers
  • Technical Consultants
  • BI (Business Intelligence) Developers

Prerequisites of the Data Engineering on Microsoft Azure DP203 Training Course

The required prerequisites for attending the Data Engineering on Microsoft Azure DP203 Training Course are to have a knowledge of cloud computing with core data concepts and professional experience with data solutions necessary and also completing AZ-900 Azure Fundamentals and DP-900 Microsoft Azure Data Fundamentals would be beneficial for the delegates.

Data Engineering on Microsoft Azure DP-203 Course Overview

This Data Engineering on Microsoft Azure DP-203 Training Course provides a comprehensive understanding of this vital discipline. With an emphasis on the power of Microsoft Azure, this course equips professionals with the knowledge and skills necessary to harness, process, and manage data effectively. As data becomes increasingly central to decision-making across various industries, this course serves as a gateway to harness the potential of Azure for Data Engineering solutions.

Proficiency in designing and implementing Microsoft Azure networking solutions is essential for professionals aspiring to excel in roles related to network architecture, cloud infrastructure, and IT management. This Microsoft Azure Certification Course is particularly beneficial for network engineers, cloud architects, IT managers, and system administrators. As organisations increasingly migrate to cloud-based solutions, this Azure Certification course becomes imperative.

The Knowledge Academy's 4-day training on Designing and Implementing Microsoft Azure Networking Solutions AZ700 offers an accelerated path to expertise in Azure networking. Delegates will engage in hands-on learning, gaining practical experience with Azure tools to design and implement effective networking solutions. This course serves as a key entry point for professionals seeking to leverage the power of Azure for networking solutions.

Course Objectives

  • To understand Azure data services and their role in Data Engineering
  • To design and implement data storage solutions using Azure Data Storage Services
  • To develop data processing solutions using Azure Data Factory
  • To implement data transformation and data integration techniques
  • To ensure data security and compliance within Azure data solutions
  • To optimise and monitor data pipelines for efficiency
  • To leverage Azure Databricks for Data Analytics and Machine Learning

After completing this Microsoft Azure Certification Course, delegates will gain the practical skills and knowledge to harness the power of Microsoft Azure for effective Data Engineering solutions.

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What’s included in this Data Engineering on Microsoft Azure DP203 Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • Data Engineering on Microsoft Azure DP203 Certificate
  • Digital Delegate Pack

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Ways to take Data Engineering On Microsoft Azure DP-203 Certification

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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Engineering On Microsoft Azure DP-203 Certification Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Experience the most sought-after learning style with The Knowledge Academy's Data Engineering On Microsoft Azure DP-203 Certification Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Data Engineering On Microsoft Azure DP-203 Certification sessions.

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Package deals for Data Engineering On Microsoft Azure DP-203 Certification

Our training experts have compiled a range of course packages on a variety of categories in Data Engineering On Microsoft Azure DP-203 Certification, to boost your career. The packages consist of the best possible qualifications with Data Engineering On Microsoft Azure DP-203 Certification, and allows you to purchase multiple courses at a discounted rate.

Data Engineering On Microsoft Azure DP-203 Certification FAQs

What is Microsoft Azure?

Microsoft Azure is a cloud platform offering services like computing, analytics, storage, and networking, enabling businesses to scale, innovate, and deploy applications seamlessly across global data centres.

What are the prerequisites to taking Data Engineering on Microsoft Azure DP-203 Courses?

The required prerequisites for attending the Data Engineering on Microsoft Azure DP203 Training Course are to have a knowledge of cloud computing with core data concepts and professional experience with data solutions necessary and also completing AZ-900 Azure Fundamentals and DP-900 Microsoft Azure Data Fundamentals would be beneficial for the delegates.

Who should attend this Azure DP 203 Course?

This Azure DP 203 is ideal for data engineers, IT professionals, and analysts aiming to design and implement data solutions using Microsoft Azure. It suits those seeking expertise in Azure's data engineering services.

How will Data Engineering on Microsoft Azure DP-203 Training course help me?

The course equips you with skills to design, implement, and optimise data storage, pipelines, and analytics solutions on Azure, enhancing your technical capabilities and career prospects.

What is the duration of this Azure DP 203 Course?

This Azure DP 203 takes 4-day to complete during which delegates participate in intensive learning sessions that cover various course topics.

What will I learn in this Data Engineering on Microsoft Azure DP-203 training course?

With this Data Engineering On Microsoft Azure DP-203 Training, you will learn to integrate, transform, and consolidate data, build scalable data solutions, and use Azure tools like Synapse Analytics, Data Factory, and Databricks for efficient data engineering.

Is this Data Engineering on Microsoft Azure DP-203 training course accredited?

Yes, this training is accredited and aligned with Microsoft standards, ensuring the knowledge and skills gained meet industry and certification requirements.

Are there any specific industries or sectors where Azure DP 203 holds relevance?

This certification is highly relevant in industries like finance, healthcare, retail, IT, and manufacturing, where data management and analytics drive decision-making.

Can individuals with non-technical backgrounds benefit from the Data Engineering on Microsoft Azure DP-203 Certification in terms of career advancement?

Yes, individuals with non-technical backgrounds can leverage this certification to transition into data engineering roles by gaining essential skills in Azure's data solutions wih Azure DP 203.

What are the career opportunities available after completing Data Engineering on Microsoft Azure DP-203 Courses?

Career opportunities include roles like Data Engineer, Azure Specialist, Business Intelligence Developer, and Analytics Engineer in sectors leveraging cloud-based data solutions after completing Azure DP 203.

Why choose The Knowledge Academy in Hungary over others for Azure DP 203?

The Knowledge Academy in Hungary stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

How can I prepare effectively for the DP-203 certification exam?

No formal exam is required at the end of the course. However, delegates are assessed through practical exercises and projects to ensure they have a solid understanding of Dart and can apply their skills effectively in real-world scenarios.

Is prior experience with SQL or data warehousing required for the DP-203 course?

While not mandatory, prior experience with SQL or data warehousing is beneficial for understanding the course concepts more effectively.

How is the DP-203 certification recognized within the data engineering industry?

This certification is widely recognised, validating your expertise in Azure data engineering and enhancing your credibility among industry professionals

Does the DP-203 certification require renewal, and if so, how often?

Yes, the certification requires renewal every year through Microsoft’s online renewal process, ensuring your skills remain current.

What is the cost/training fees for Data Engineering On Microsoft Azure DP-203 Certification in Hungary?

The training fees for Data Engineering On Microsoft Azure DP-203 Certificationin Hungary starts from €2895

Which is the best training institute/provider of Data Engineering On Microsoft Azure DP-203 Certification in Hungary?

The Knowledge Academy is the Leading global training provider for Data Engineering On Microsoft Azure DP-203 Certification.

What are the best Microsoft Azure Certification courses in Hungary?

Please see our Microsoft Azure Certification courses available in Hungary

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