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Azure Data Engineer [DP-203] Certification Course in Canada

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Edureka's Azure Data Engineer Certification course in Canada will help you clear the official Microsoft DP-203 exam. Gain expertise in data engineering and master concepts such as data storage, pipeline processing, and security with industry-relevant use cases. Get hands-on experience with real-time projects and learn from experienced industry experts.

Live Online Classes starting on 27th Apr 2024

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Why enroll for DP 203: Data Engineering on Microsoft Azure in Canada?

Microsoft Azure Data Engineer Training in Canada is recognized as a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms for 12 consecutive years

According to Linkedin, Data Engineering is one of the fast growing jobs in technology with a growth rate of 40% year on year

Average salary for a Data Engineer is INR 10.5 Lakhs per year in India and in the United States, it is $114,835 per year in the United States - Indeed.com

Azure Data Engineer Training Benefits in Canada

The world of data has evolved, and the advent of cloud technologies is providing new opportunities for businesses to explore. Azure data engineering is one of the most in-demand and rapidly expanding technologies in the marketplace right now. According to Microsoft, 95% of Fortune 500 firms use Azure cloud services, leading to an increasing demand for Microsoft-certified experts who can leverage Azure and manage massive volumes of data. The best way to secure a good job with a handsome salary in this domain is to obtain an Azure Data Engineer Certification.

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Why DP 203: Data Engineering on Microsoft Azure from edureka in Canada

Live Interactive Learning

World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing

Lifetime Access

Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content

24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion

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About your DP 203: Data Engineering on Microsoft Azure

Azure Data Engineering Skills in Canada

Design data storage solutions
Analyze data using SQL and Spark
Design and implement data security
Monitor data storage and data processing
Optimize data storage and data processing
Create and manage data pipelines

Tools Covered in Canada

Azure Data Engineering Certification Course Curriculum in Canada

Curriculum Designed by Experts

DOWNLOAD CURRICULUM

Introduction to Microsoft Azure and its Services

7 Topics

Topics:

Azure Subscriptions
Azure Resources
Azure Free Tier Account
Azure Resource Manager
Azure Resource Manager Template
Azure Storage
Types of Azure Storage

Hands-on:

Create a free tier Azure account
Create a web app service using Azure Portal
Create and Deploy ARM templates
Manage Azure Storage account
Manage Azure Cost and Billing

Skills You will Learn:

Creating ARM templates
Accessing Azure Storage Service
Azure Cost and Billing Services

Introduction To Azure Data Engineering

14 Topics

Topics:

Understand the evolving world of data
Data abundance
Understanding the Data Engineering Problem
Understand job responsibilities
Understanding Data Engineering Processing - Extract Transform and Load
Overview of Azure Data Engineering Services
Understand data storage in Azure Storage
Understand data storage in Azure Data Lake Storage
Understand Azure Cosmos DB
Understand Azure SQL Database
Understand Azure Synapse Analytics
Understand Azure Stream Analytics
Understand Azure HDInsight
Understand other Azure data services

Hands-on:

Navigating through Azure data engineering services

Skills You will Learn:

Analyzing Data Engineering Process
Understanding Azure Services

Storing Data in Azure

13 Topics

Topics:

How to choose an Azure Storage Service in Azure
Create an Azure Storage Account
Connect an app to Azure Storage API
Connect to your Azure storage account
Explore Azure Storage security features
Understand storage account keys
Understand shared access signatures
Control network access to your storage account
Understand Advanced Threat Protection for Azure Storage
Explore Azure Data Lake Storage security features
Introduction to Blob storage
What are blobs?
Design a storage organization strategy

Hands-on:

Add the storage client library to your app
Add Azure Storage configuration to your app
Connect your application to your Azure Storage account
Create Azure storage resources
Configure and initialize the client library
Get blob references
Blob uploads and downloads

Skills You will Learn:

Working with Azure Storage
Configuring Security in Azure Storage
Storing blob data in Azure Storage

Azure Data Factory - I

15 Topics

Topics:

Integrate data with Azure Data Factory or Azure Synapse Pipeline
Understand Azure Data Factory
Describe data integration patterns
Explain the data factory process
Understand Azure Data Factory components
Azure Data Factory security
Set-up Azure Data Factory
Create linked services
Create datasets
Create data factory activities and pipelines
Manage integration runtimes
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
List the data factory ingestion methods
Describe data factory connectors
Understand data ingestion security considerations

Hands-on:

Use the data factory copy activity
Manage the self hosted integration runtime
Setup the Azure integration runtime

Skills You will Learn:

Working with Azure Data Factory
Integrating Azure Data Factory
Azure Data Factory security
Implementing Data Factory connectors

Azure Data Factory - II

22 Topics

Topics:

Explain Data Factory transformation methods
Describe Data Factory transformation types
Debug mapping data flow
Describe slowly changing dimensions
Choose between slowly changing dimension types
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
Execute data factory packages
Describe SQL Server Integration Services
Understand the Azure-SIS integration runtime
Set-up Azure-SIS integration runtime
Run SSIS packages in Azure Data Factory
Migrate SSIS packages to Azure Data Factory
Configure a git repository with a development factory
Create and merge a feature branch
Deploy a release pipeline
Visually monitor pipeline runs
Integrate with Azure Monitor
Set up alerts
Rerun pipeline runs

Hands-on:

Author an Azure Data Factory mapping data flow
Use Data Factory wrangling data
Use compute transformations within Data Factory
Integrate SQL Server Integration Services packages within Data Factory
Design and implement a Type 1 slowly changing dimension with mapping data flows
Integrate a Notebook within Azure Synapse Pipelines

Skills You will Learn:

Implementing Data Factory transformations
Implementing slowly changing dimensions
Working with SQL server integration
Configuring a git repository
Integrating Azure monitor and set up alerts

Azure Synapse Analytics - I

10 Topics

Topics:

What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Create Azure Synapse Analytics workspace
Describe Azure Synapse Analytics SQL
Explain Apache Spark in Azure Synapse Analytics
Orchestrate data integration with Azure Synapse pipelines
Visualize your analytics with Power BI
Understand hybrid transactional analytical processing with Azure Synapse Link
Use Azure Synapse Studio

Hands-on:

Explore Azure Synapse Analytics
Create pools in Azure Synapse Analytics
Identifying Azure Synapse pipeline components

Skills You will Learn:

Working with Azure Synapse Analytics
Managing Azure Synapse Analytics workspace
Querying data and Visualizing analytics
Working with Azure Synapse pipeline components

Azure Synapse Analytics - II

6 Topics

Topics:

Understand the Azure Synapse Analytical processes
Explore the Data hub
Explore the Develop hub
Explore the Integrate hub
Explore the Monitor hub
Explore the Manage hub

Hands-on:

Create a new data flow or dataset, and manage the file
Use the Monitor hub to view pipeline and trigger runs, view the status of the various integration runtimes

Skills You will Learn:

Designing the new data flow or dataset
Working with various types of hubs

Data Warehouses using Azure Synapse Analytics - I

7 Topics

Topics:

Describe a modern data warehouse
Define a modern data warehouse architecture
Exercise - Identify modern data warehouse architecture components
Design ingestion patterns for a modern data warehouse
Understand data storage for a modern data warehouse
Understand file formats and structure for a modern data warehouse
Prepare and transform data with Azure Synapse Analytics

Hands-on:

Serve data for analysis with Azure Synapse Analytics
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse

Skills You will Learn:

Designing a Modern Data Warehouse Architecture
Building a Data Warehouse
Working with different file formats
Preparing and transforming data

Data Warehouses using Azure Synapse Analytics - II

8 Topics

Topics:

Understand data load design goals
Explain load methods into Azure Synapse Analytics
Manage source data files
Manage singleton updates
Set-up dedicated data load accounts
Implement workload management
Simplify ingestion with the Copy Activity
Understand performance issues related to tables

Hands-on:

Data Loading in Azure Synapse Analytics
Data Ingestion using Copy Activity
Implement workload management
Understand performance issues related to tables

Skills You will Learn:

Loading data using Azure Synapse Analytics
Implementing workload management

Optimizing Data Queries in Azure

14 Topics

Topics:

Understand table distribution design
Use indexes to improve query performance
Understand query plans
Create statistics to improve query performance
Improve query performance with materialized views
Use read committed snapshot for data consistency
How does statistics affect a query plan?
Describe the integration methods between SQL and spark pools in Azure Synapse Analytics
Understand the use-cases for SQL and spark pools integration
Exercise: Integrate SQL and spark pools in Azure Synapse Analytics
Externalize the use of spark pools within Azure Synapse Workspace
Transfer data outside the synapse workspace using the PySpark connector
Explore the development tools for Azure Synapse Analytics
Understand transact-SQL language capabilities for Azure Synapse Analytics

Hands-on:

Use table distribution and indexes to improve performance
Optimize common queries with result-set caching
Work with windowing functions
Work with approximate execution
Work with JSON data in SQL pools
Encapsulate transact-SQL logic with stored procedures
Authenticate in Azure Synapse Analytics
Transfer data between SQL and spark pool in Azure Synapse Analytics
Authenticate between spark and SQL pool in Azure Synapse Analytics

Skills You will Learn:

Optimizing data queries in Azure
Authenticating in Azure Synapse Analytics
Working with SQL and Spark pool

Managing Workloads in Azure Synapse Analytics

12 Topics

Topics:

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
Understand skewed data and space usage
Understand network security options for Azure Synapse Analytics
Configure Conditional Access
Configure authentication
Manage authorization through column and row level security
Manage sensitive data with Dynamic Data Masking
Implement encryption in Azure Synapse Analytics

Hands-on:

Manage authorization through column and row level security

Skills You will Learn:

Managing workloads in Azure Synapse Analytics
Authentication and authorization in Azure Synapse Analytics
Implementing encryption in Azure Synapse Analytics

Deep Dive into Azure Databricks

19 Topics

Topics:

Get started with Azure Databricks
Identify Azure Databricks workloads
Understand key concepts
Use Apache Spark in Azure Databricks
Create a Spark cluster
Use Spark in notebooks
Use Spark to work with data files
Visualize data
Get Started with Delta Lake
Create Delta Lake tables
Create and query catalog tables
Use Delta Lake for streaming data
Get started with SQL Warehouses
Create databases and tables
Create queries and dashboards
Understand Azure Databricks notebooks and pipelines
Create a linked service for Azure Databricks
Use a Notebook activity in a pipeline
Use parameters in a notebook

Hands-on:

Explore Azure Databricks
Run an Azure Databricks Notebook with Azure Data Factory
Use a SQL Warehouse in Azure Databricks
Use Delta Lake in Azure Databricks
Use Spark in Azure Databricks

Skills You will Learn:

Working with Azure Databricks
Running interactive and scheduled data analysis workloads

Capstone Project

3 Topics

Topics:

In this project, you will design a secure, analytical, data ingestion, scalable, build and deploy data pipeline solution which you have learned as a part of this certification course
Documentation and presentation: Develop detailed documentation outlining the design and implementation of the Azure data solution, and effectively present the solution and its outcomes to business
Design and implement an Azure Data Solution

Integrating Azure Data Solutions with Other Services (Self-paced)

4 Topics

Topics:

Integrating Azure Data Solutions with Azure Synapse Analytics
Integrating Azure Data Solutions with Power BI
Integrating Azure Data Solutions with Azure Logic Apps
Best Practices for Integrating Azure Data Solutions with Other Services

Hands-on:

Working with the Azure Data Solutions with Azure Synapse Analytics
Build and deploy Azure Data Solutions with Power BI

Skills You will Learn:

Using Azure Data Solutions with Power BI
Designing the Azure Data Solutions
Best practices for integrating Azure Data Solutions

Security and Compliance (Self-paced)

4 Topics

Topics:

Overview of Azure Security Features
Implementing Security for Azure Data Storage Solutions
Implementing Security for Azure Data Processing Solutions
Best Practices for Securing Data Solutions in Azure

Hands-on:

To demonstrate the practical implementation of security and compliance measures in Azure data engineering to safeguard the organization's data
To demonstrate the practical implementation of compliance measures in Azure data engineering to ensure adherence to regulatory requirements

Skills You will Learn:

Securing the Azure Data Storage Solutions
Implementing Security for Data Processing Solutions

Monitoring and Optimizing Data Solutions (Self-paced)

4 Topics

Topics:

Monitoring and Alerting Strategies for Azure Data Solutions
Optimizing Data Processing Solutions for Performance and Cost
Using Azure Monitor to Monitor Data Solutions
Best Practices for Monitoring and Optimizing Azure Data Solutions

Hands-on:

To demonstrate the practical implementation of monitoring measures in Azure data engineering solutions to ensure efficient system operation
Implementation of optimization measures in Azure data engineering solutions to ensure better system performance, reduce costs, and increase productivity

Skills You will Learn:

Enhancing Data for Performance and Cost
Setting up the Azure Monitor

Industrial Case Studies (Self-paced)

3 Topics

Topics:

Case Studies on Implementing Azure Data Solutions
Emerging Trends and Technologies in Azure Data Engineering
Best Practices for Keeping Up with Industry Trends in Azure Data Engineering

Use Cases:

Case Studies on Mitsubishi Heavy Industries (MHI) Group
Case Studies on Bayer AG
Case Studies on fischer
Case Studies on New York City Department of Education
Case Studies on Amadeus

Scenario Based Exam Dumps

1 Topics

Topics:

Scenario Based Dumps Set -1,2,3,4,5,6,7

DP-203 Certification: Practice Exam

2 Topics

Topics:

Practise Exam Set 1,2,3
3 practise exams with a minimum passing score of 700 will allow you to gauge your level of preparation

Azure Data Engineering Interview Preparation

1 Topics

Topics:

Interview preparation material to assist you in getting ready for the upcoming interviews

Reference Material

2 Topics

Topics:

Whitepapers
Reference Documents

Bonus Content

2 Topics

Additional Resources (Part 1)
Additional Resources (Part 2)

Free Career Counselling

We are happy to help you 24/7

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Azure Data Engineering Certification Course Description in Canada

Who is an Azure Data Engineer?

Azure Data Engineer Training in Canada helps businesses in Extracting, Transforming and Loading data from various structured and unstructured data stores to data warehouses.

What are the prerequisites for this Azure Data Engineering Course?

You will need to know the fundamentals of Azure . As part of this course, you will get free Azure Fundamentals self-paced videos.

What are the Azure Data Engineer Skills?

Azure Data Engineer DP-203 certification exam will test your following skills:

Azure Databricks
Azure Data Factory
Azure Synapse
Creating ETL Pipelines
Data Warehousing using Azure SQL
Azure Storage
Integration with PySpark, PowerBI and Delta Lakes

Who should go for this Azure Data Engineering Training?

Anyone with a zeal to learn and wants to become a Azure Data Engineer Training in Canada or Data Architect can join this training.

Azure Data Engineer Projects in Canada

Data-Driven Decision-Making to Optimize Online Retail Customer Experience and Increase Sales

The retail company recognizes the importance of online sales and the customer experience in today's digital age. To stay competitive, they understand that they need to use data-d....

View Project Details

Enhancing Data Processing and Analysis Capabilities for Advertising Analytics Company

An advertisement analytics company is looking to improve their data processing and analysis capabilities. They receive large amounts of data on a daily basis from various sour....

View Project Details

Developing a Real-Time Predictive Maintenance Solution for Industrial Equipment Using Machine Learning

An AI analytics company is developing a predictive maintenance solution for industrial equipment, using machine learning to predict equipment failures and schedule maintenance....

View Project Details

Azure Data Engineering Certification - DP 203 EXAM in Canada

DP-203 certifies Azure Data Engineers in designing and implementing data solutions using Azure Data Services. It emphasizes data storage, processing, and security on Microsoft Azure and is applicable in Canada.

In Canada, candidates for the DP-203 exam should possess expertise in integrating, transforming, and consolidating diverse data types for effective analytic solutions. This proficiency is crucial for constructing suitable schemas in the data engineering process.

The DP-203 Exam in Canada tests skills in Azure data engineering, including the design and implementation of data storage solutions, integration and processing, and security and compliance solutions.

In Canada, the online DP-203 exam costs USD 165, with the actual price based on the country or region where the exam is proctored.

The DP-203 Exam in Canada has a duration of 120 minutes (2 hours).

To obtain Azure DP-203 certification in Canada, a passing score of 700 out of 1000 is required, reflecting the knowledge and skills needed for competence.

The DP 203 Certification Exam in Canada is available in English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian.

Key topics covered in the Microsoft Azure DP-203 Exam in Canada include designing and implementing data storage (15–20%), developing data processing (40–45%), and securing, monitoring, and optimizing data storage and data processing (30–35%).

In Canada, candidates can retake the DP-203 exam up to 5 times within 12 months.

In Canada, if you fail the exam, there's a 24-hour waiting period before retaking it. You can reschedule through the certification dashboard but may need to pay for subsequent attempts.

Failing the DP-203 exam in Canada requires a 24-hour waiting period for a retake. Subsequent attempts have a 14-day waiting period, with a maximum of 5 attempts allowed.

In Canada, the DP-203 certification is valid for one year, and no prior certification is required for eligibility.

Results for most exams in Canada are received within minutes. A detailed exam score report and feedback on performance are provided within 24 hours, accessible in the Learn profile.

Renewing the DP-203 certification in Canada requires passing an online assessment before it expires, and the accreditation is extended by one year from the passing date at no cost.

In Canada, professionals who pass the DP-203 exam are awarded the Azure Data Engineer Certificate by Microsoft, which demonstrates their expertise and knowledge.

To unlock Edureka's Azure Data Engineering Training completion certificate in Canada, participants must fully engage in the DP-203 Course and complete quizzes and projects as listed.

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Microsoft Data Engineer Course in Canada FAQs

Which companies hire Azure Data Engineer in Canada?

Companies hiring Azure Data Engineers in Canada:

Microsoft Canada
Royal Bank of Canada (RBC)
TD Bank Group
Scotiabank
CIBC
Bell Canada
Telus
Loblaw Companies Limited
Rogers Communications
Canadian National Railway (CN Rail)

What is the average salary for Microsoft Data Engineer Certification globally?

Azure Data Engineers globally earn high salaries, with average annual figures as follows: India: INR 795,486 UK: £43,401 Canada: CA $81,288 US: $94,358.

Is Azure Certified Data Engineer worth pursuing?

Yes, the Azure Data Engineer certification increases job opportunities, salary potential, and long-term career prospects in Canada. It makes individuals more competitive, leading to better salaries and career advancement.

What is the minimum education requirement to become a Data Engineer Course in Canada?

No specific degree is required for the Data Engineer Course in Canada. Even without particular qualifications, the course will kickstart your Data Engineering career.

How much does the Azure Data Engineer Certification in Canada cost on average?

Data engineers in Canada earn an average salary of $116K annually. With relevant experience and industry-respected certification like Edureka's Data Engineer Certification in Canada, you can expect increased earning potential.

Is the Data Engineering course challenging to master in Canada?

The difficulty of the Microsoft Data Engineer Certification in Canada depends on individual experience and commitment. Instructors simplify concepts, ensuring ease of comprehension for students.

Does Data Engineering in Canada require coding skills?

While not mandatory, basic programming understanding is highly recommended before pursuing a career in Data Engineering in Canada.

Which programming languages are best for Data Engineering in Canada?

Java, Python, R, SQL, and Scala are the most widely used languages in the field of Data Engineering in Canada.

What are the criteria for admission to the Data Engineer course in Canada?

No specific eligibility requirements exist for the Data Engineering course in Canada. Anyone interested in Azure data engineering can join, with basic knowledge of data structures, algorithms, SQL, and programming in Python and Java being helpful.

What are the essential skills for Data Engineer Certification in Canada?

To become a Data Engineer in Canada, proficiency in programming languages (Java, Python, or C++), relational databases (MySQL, Oracle), data warehousing, Apache Spark, data mining, and data modeling is crucial. The Data Engineer Certification in Canada will help develop these skills.

What is the average pay for Azure Data Engineer professionals in Canada?

Azure Data Engineer professionals in Canada earn an average annual salary ranging from CAD 80,000 to CAD 130,000, depending on experience, skills, qualifications, and the employer.

How long does it take to become a Data Engineer in Canada?

Completing the Azure Data Engineer Course online, which typically lasts from three to twelve months, can pave the way to becoming a Data Engineer in Canada.

Why should I take Microsoft AzureData Engineer Course in Canada?

The Microsoft Azure Data Engineering Course in Canada certifies you as an expert in data science, providing the skills and a job-ready portfolio needed for success in the field.

What is the Data Engineer Certification in Canada DP 203?

This exam evaluates your capability to perform technical functions. Design and implement storage for data; design and create data processing; develop and establish data security and monitoring and optimize data storage and processing storage.

What is the average salary of Microsoft Data Engineer Certification across the countries?

Data engineers are among the most sought-after professions today and earn high salaries globally. The possession of certification will increase their earnings potential.

Mentioned below are the average annual salaries of Azure Data Engineers in popular countries, as per Payscale data:

India - INR 795,486
The UK - £43,401
Canada - CA $81,288
The US - $94,358

Is Azure Certified Data Engineer worth it?

Yes, the Azure Data Engineer certification is an excellent way to demonstrate your skills in data engineering. The Data Engineer certification will increase the number of job opportunities, boost employees' pay, and increase career prospects over the long term.

Azure certificate expands job opportunities.
Azure data engineer certification makes you more competitive.
Azure Data Engineer Course provides better salaries.
Azure certification helps you prepare to advance in your career.

How do you become an Azure Data Engineer in Canada?

To become a certified Azure Data Engineer by Microsoft in Canada, proficiency in data computation languages (SQL, Python, Scala), parallel processing, and data architecture concepts is required.

Is pursuing a career in Azure Data Engineering Training a good choice?

Data Engineering remains a sought-after career globally, offering rewards and challenges. It contributes to organizational success by providing access to crucial information, making it a fulfilling career choice in Canada.

What is the future of Azure Data Engineering Training?

The future of Azure Data Engineering Training lies in the increasing use of cloud warehousing solutions, allowing engineers to focus on performance-focused elements and specialized functions in the information stack.

Which is better, a Data Engineer or a Data Scientist?

A Data Engineer delivers data to a Data Scientist, making both roles crucial. While a Data Engineer's average salary is $90,839, a Data Scientist may earn 20-30% more, making the two roles competitive yet complementary in Canada.

What is the Average Payscale of a Azure Data Engineer professionals in Canada?

The average annual salary of an Azure Data Engineer professional in Canada ranges from CAD 80,000 to CAD 130,000. However, the actual salary can vary based on factors such as experience, skills, qualifications, and the employing organization.

Which certifications are best for the Azure Data Engineering Course?

The following certifications are best suited for Data Engineers:

Google Professional Data Engineer
Cloudera Certified Professional (CCP) Data Engineer
Microsoft Certified: Azure Data Engineering Course
Arcitura Certified Big Data Architect
Amazon Web Services (AWS) Certified Data Analytics – Specialty
Cloudera Data Platform Generalist Certification
Data Science Council of America (DASCA) Associate Big Data Engineer
Data Science Council of America (DASCA) Senior Big Data Engineer
IBM Certified Solution Architect – Cloud Pak for Data v4.x
IBM Certified Solution Architect – Data Warehouse V1
SAS Certified Big Data Professional

What are the Azure Data Engineer job opportunities in Canada?

Azure Data Engineer job opportunities in Canada:

Azure Data Engineer
Data Engineer (Azure)
Big Data Engineer (Azure)
Cloud Data Engineer (Azure)
Data Platform Engineer (Azure)
Data Warehouse Engineer (Azure)
ETL Developer (Azure)
Business Intelligence Engineer (Azure)
Data Integration Engineer (Azure)
Data Analytics Engineer (Azure)

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Azure Data Engineer [DP-203] Certification Course in Canada

Instructor-led Azure Data Engineer Associate Certification Course live online Training Schedule

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Online Classroom

Corporate Training

Why enroll for DP 203: Data Engineering on Microsoft Azure in Canada?

Azure Data Engineer Training Benefits in Canada

Azure Architect

Azure Cloud Engineer