Why enroll for DP 203: Data Engineering on Microsoft Azure in Australia?
Microsoft 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 Engineering Training Benefits in Australia
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 Australia
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 Australia
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 Australia
Azure Data Engineer Certification Course Curriculum in Australia
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 Engineer Course Description in Australia
Who is an Azure Data Engineer in Australia?
An Azure Data Engineer in Australia is responsible for extracting, transforming, and loading data from various sources into data warehouses.
What are the prerequisites for this Azure Data Engineering Course in Australia?
Basic knowledge of Azure is required, and the course provides free, self-paced videos on Azure Fundamentals.
What are the Azure Data Engineer Skills in Australia?
Azure Data Engineer Course in Australia 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 in Australia?
Anyone in Australia with a passion for learning and aiming to become an Azure Data Engineer or Data Architect can join this training.
Azure Data Engineer Projects in Australia
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....
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....
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....
DP 203 Certification Exam in Australia
Results for the DP-203 exam are typically available within minutes, and detailed feedback is provided within 24 hours.
An Azure Data Engineer in Australia designs and implements data solutions on Microsoft Azure for efficient data processing and valuable business insights.
The DP-203 certification validates skills in designing and implementing data solutions using Azure Data Services.
Candidates in Australia with expertise in integrating, transforming, and consolidating diverse data systems should take the DP-203 exam.
The DP-203 Exam in Australia certifies proficiency in various areas of data engineering on Azure, including storage, integration, processing, security, and compliance.
The cost of the DP-203 exam in Australia is $165, but it may vary depending on the location where the exam is proctored.
The DP-203 Exam duration in Australia is 120 mins (2 hours).
The passing score for the Azure DP-203 certification exam in Australia is 700 out of 1000.
The DP-203 Certification Exam in Australia is available in English and various other languages, including Chinese, Japanese, Korean, German, French, Spanish, and more.
Key topics covered in the Microsoft Azure DP-203 Exam in Australia include data storage, data processing, and securing, monitoring, and optimizing data solutions.
In Australia, you can retake the DP-203 exam up to 5 times within 12 months.
If you fail the DP-203 exam, you must wait 24 hours before retaking it and can access the certification dashboard to reschedule.
If you fail the DP-203 exam, you must wait 24 hours before retaking it, with a 14-day waiting period between subsequent attempts.
The DP-203 certification is valid for one year, with no prior certification required.
There's no cost to renew the DP-203 certification; pass the online assessment before it expires via Microsoft Learn.
Microsoft awards the Azure Data Engineer Certificate in Australia to professionals passing the DP-203 exam.
To unlock Edureka's Azure Data Engineering Training certificate in Australia, fully participate in the DP-203 Course, and complete quizzes and projects.
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Microsoft Data Engineer Course in Australia FAQs
Which companies hire Azure Data Engineers in Australia?
Companies hiring Azure Data Engineers in Australia:
Microsoft Australia
Commonwealth Bank of Australia
ANZ Banking Group
Westpac Group
National Australia Bank (NAB)
Telstra
Qantas Airways
Woolworths Group
SEEK Limited
Australia and New Zealand Banking Group Limited (ANZ)
Who benefits from Microsoft Azure Data Engineer Certification in Australia?
This certification helps design secure data processes and explore data using Azure tools.
What career options can I explore with Data Engineering skills in Australia?
Career options in Australia include roles such as data engineer, data warehouse manager, database administrator, business intelligence analyst, and data architect.
What's the minimum education requirement to become a Data Engineer in Australia?
There isn't a specific college degree required to become a Data Engineer. People in this field typically hold a bachelor's or master's degree in physics, computer science, applied math, statistics, or other related fields. Even if you don't possess the educational qualifications, this Data Engineer course will help you start your career.
How much does the average Azure Data Engineer Certification cost in Australia?
Data engineers are paid an average salary that is more than 830k annually for India and $116K for those in the U.S. With the addition of relevant experience and getting an industry-respected certification, such as Edureka'sData Engineer Certification in Australia, there is no reason to believe that you won't make more money.
Does Data Engineering require coding skills?
The difficulty level in the Microsoft Data Engineer Certification in Australia depends entirely on the individual's prior experience and commitment to learning the concepts. Our highly trained instructors explain everything in a way that is easy to comprehend. They are also aware of the students' requirements.
What are the Azure Data Engineer job opportunities in Australia?
Although not necessary, it is highly recommended that you have a basic understanding of programming before pursuing a job in Data Engineering.
Which is the best language to use for Data Engineering?
Java, Python, R, SQL, and Scala are the most widely utilized languages in the area of Data Engineering
What are the essential skills needed to be a Data Engineer in Australia?
Azure Data Engineer job opportunities in Australia:
Azure Data Engineer
Data Engineer (Azure)
Big Data Engineer (Azure)
Data Platform Engineer (Azure)
Cloud Data Engineer (Azure)
Data Warehouse Engineer (Azure)
Data Integration Engineer (Azure)
Business Intelligence Engineer (Azure)
ETL Developer (Azure)
Data Analytics Engineer (Azure)
What is the average pay scale of an Azure Data Engineer professional in Australia?
The average annual salary ranges from AUD 90,000 to AUD 150,000 for Azure Data Engineers in Australia.
How long does it take to become a Data Engineer in Australia?
The Data Engineer Course in Australia takes 3-12 months and helps individuals become data engineers with varying certifications
Can fresh graduates find job opportunities after completing the Data Engineer course in Australia?
Yes, enrollment in the Azure Data Engineer Certification Training in Australia is open to anyone interested in starting a career in Data Engineering, provided they understand fundamental concepts.
Why should I take Microsoft Azure Data Engineer Course in Australia?
The Data Engineering Course is the one to take if you want to work with businesses because it certifies you as an expert in data science. After finishing our comprehensive program, you'll have the skills you need to succeed as a data engineer and a job-ready portfolio to show off during the interview process.
What is the Average Payscale of a Azure Data Engineer professionals in Australia?
The average annual salary of an Azure Data Engineer professional in Australia ranges from AUD 90,000 to AUD 150,000. However, the actual salary can vary based on factors such as experience, skills, qualifications, and the employing organization.
Why should I take the Microsoft Azure Data Engineer Course in Australia?
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 market trend for Azure Data Engineer in Australia?
Demand for Azure Data Engineers in Australia is rising due to the increased adoption of Microsoft Azure for cloud data solutions, leading to more job opportunities.
How do I become an Azure data engineer in Australia?
To become a certified Azure Data Engineer in Australia, proficiency in data computation languages such as SQL, Python, or Scala and knowledge of data architecture concepts is necessary.
Which certificate is best for the Azure Data Engineering Course in Australia?
Suitable certifications for data engineers in Australia include Microsoft Certified: Azure Data Engineering, Google Professional Data Engineer, and Cloudera Certified Professional (CCP) Data Engineer.
Is Azure Data Engineering Training a good career in Australia?
Yes, as long as there's data to process, Data Engineers will be sought-after in Australia, contributing to organizational success with programming and problem-solving skills.
What is the future of Azure Data Engineering Training in Australia?
The trend in Australia involves increased demand for Azure Data Engineers, especially with expertise in cloud-based solutions, big data and analytics, data integration, and AI/machine learning.
Be future ready, start learning
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