DP 203: Data Engineering on Microsoft Azure

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DP 203: Data Engineering on Microsoft Azure

CertHippo Azure Data Engineering Certification Training Course utilizing Azure has been curated by subject matter experts to assist you in passing the Microsoft Azure Data Engineering Exam: DP-203. Using industry-relevant use examples, this program will teach you concepts such as data storage, processing pipelines, data security, data factory, and more. This Azure Data Engineer Certification Course delivers hands-on project experience in a variety of industries. Study Azure Data Engineering Online from Industry Professionals with Over a Decade of Experience.

Why This Course

For the 12th year in a row, Microsoft has been named a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms.

According to the Dice tech job report, data engineering is the fastest-growing job in technology, with a 50% increase in the number of vacant positions year over year.

According to Indeed.com, the typical annual income for a Data Engineer in India is INR 10.5 Lakhs and $114,835 in the United States.

Why Enroll In Course?

The data world has transformed, and the introduction of cloud technology has created new options for businesses to investigate. Azure data engineering is one of the most in-demand and fastest-growing technologies in the market today, and these Data Engineering Courses are also in high demand among IT professionals. According to Microsoft, 95% of Fortune 500 companies utilise Azure services, thus there is a growing demand for Microsoft-certified experts who can use Azure and manage enormous amounts of data. Obtaining an Azure Data Engineering Certification is the greatest approach to find a decent job with a good income in this subject.

Training Features

Live Interactive Learning

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Introduction to Microsoft Azure and its Services

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

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

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 Part - I

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 Part - II

Topics:

Explain Data Factory transformation methods
Describe Data Factory transformation types
Exercise - Author an Azure Data Factory mapping data flow
Debug mapping data flow
Exercise - Use Data Factory wrangling data
Exercise - Use compute transformations within Data Factory
Exercise - Integrate SQL Server Integration Services packages within Data Factory
Describe slowly changing dimensions
Choose between slowly changing dimension types
Exercise - Design and implement a Type 1 slowly changing dimension with mapping data flows
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
Exercise - Integrate a Notebook within Azure Synapse Pipelines
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

Work with Data Warehouses using Azure Synapse Analytics - Part I

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

Work with Data Warehouses using Azure Synapse Analytics - Part II

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

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

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
Exercise - 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

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

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Certification

Who is an Azure Data Engineer?

Azure data engineers use various tools and strategies to assist stakeholders comprehend the data and design and maintain safe and compliant data processing pipelines. These specialists store and generate cleaned and enriched datasets for analysis using different Azure data services and languages. They also assist guarantee that, given a certain set of business objectives and restrictions, data pipelines and data storage are high-performing, efficient, organized, and dependable. This professional responds quickly to unexpected difficulties and minimizes data loss. In addition, an Azure data engineer creates, deploys, monitors, and optimisms data platforms to satisfy the demands of the data pipeline. This course will prepare you to become an Azure Data Engineer.

What is Exam DP-203: Data Engineering on Microsoft Azure?

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints.They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyse, and optimise data platforms to satisfy the needs of the data pipeline. CertHippo's Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.

How much does the DP-203 exam cost?

This is an online exam, and the fee is $165. ( Price based on the country or region in which the exam is proctored).

What is the duration of the DP-203 exam?

Applicants have two hours to finish the DP-203 Test.

What score is required to pass the exam?

All technical exam results are given on a scale of 1 to 1,000. A passing grade is 700 or above. Because this is a scaled score, it may not equal 70%. The knowledge and abilities required to demonstrate competency, as well as the difficulty of the questions, are used to determine a passing score. The Azure Data Engineering Course will offer you more confidence and in-depth subject understanding to pass the DP 203 Exam on the first try.

What are the exam details?

The Certification focuses on the abilities needed to be a successful Azure Data Engineer in today's market. This contains the following broad domains and their exam weights:

Design and implement data storage (40—45%)
Design and develop data processing (25—30%)
Design and implement data security (10—15%)
Monitor and optimize data storage and data processing (10—15%)

What is the exam retake policy?

If you fail a test the first time, you must wait 24 hours before taking it again.
Any future efforts are subject to a 14-day wait period (up to 5).
You may not retake a test more than five (5) times in a 12-month period following your initial attempt. If you fail the test five times, you will be able to repeat it 12 months after your first try.
Unless your certification has expired, you cannot repeat an exam that you have already passed.
To retake the exam, you must pay (if applicable.)
The Azure Data Engineering Course provides comprehensive information on all certification tests and their relevant curricula.

When will the results be published?

Most examinations will provide results within minutes after completion. You'll also receive a report with your exam score and performance remarks. Examinations with labs are scored in roughly 30 minutes, so you'll have to wait a little longer. Within 24 hours, your score will be visible on your Learn profile. Data Engineering Course offers you with all of the necessary facts regarding the score percentage as well as the time length.

What do I need to do to unlock CertHippo Azure Data Engineering Training certificate?

To unlock the CertHippo Azure Data Engineering certificate, make sure the following conditions are met:

Completely participate in this Azure Data Engineering Training Course.
Evaluation and completion of the quizzes and projects listed.

What is the value of Azure Data Engineering Certification?

It is a globally recognized certification that validates your ability to develop effective data pipelines and analytics solutions. The demand for Azure Data Engineering is increasing, and there are many lucrative work opportunities and positions available in IT firms, making now an excellent moment for people to enroll and obtain certification. Because of the numerous career opportunities and possibilities, mastering Azure Data Engineering skills and getting started right immediately is also strongly advised. This course will provide you with in-depth Data Analyst skills as well as real-world project experience.

What are the different job roles available after the Azure Data Engineering Certification Course?

Our Azure Data Engineering Training certification course is designed to help applicants build skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Azure Data Engineer, Data Engineering Manager, Data Engineer, Azure Architect, and others are some of the most essential job titles.

Online Training FAQs

What career options can I look forward to with my Data Engineering skills?

A data engineer's talents are in high demand right now. You could be qualified for professions like data engineer or data warehouse manager, database administrator and business intelligence analyst, or even data architect. Begin the registration process for the Azure Data Engineer Online course.

What is the minimum education requirement to become an Azure Data Engineer?

A specific college degree is not necessary to become a Data Engineer. Individuals in this industry usually have a bachelor's or master's degree in physics, computer science, applied math, statistics, or a related discipline. Even if you lack the necessary school credentials, this course will assist you in launching your career.

What is the average Azure Data Engineering Certification Cost?

Data engineers in India earn more than $830k a year, while those in the United States earn $116K. There's no reason to suppose you won't make greater money with relevant experience and an industry-recognized certification.

Is the Azure Data Engineering course hard to master?

The amount of difficulty of the Microsoft Azure Data Engineer Certification is totally dependent on the individual's past experience and dedication to studying the subjects. Everything is explained in an easy-to-understand manner by our highly experienced educators. They are also mindful of the needs of the pupils.

How long will it take to become an Azure Data Engineer?

You may become a Professional Data Engineer by taking the Azure Data Engineer Course Online, which can span anywhere from three to twelve months. The course curriculum, on the other hand, differs depending on the desired degree or certification. Three-month courses may give valuable Data Engineer experience and internship opportunities, leading to entry-level careers at top companies.

Why should I take Microsoft Azure Data Engineer Certification Course?

If you want to work with businesses, the Data Engineering Course is the one to pursue because it qualifies you as an expert in data science. You'll have the abilities you need to thrive as a data engineer after completing our thorough curriculum, as well as a job-ready portfolio to show off throughout the interview process.

What is the DP 203 Certification?

This test assesses your ability to perform technical duties. Create and implement data storage; create and implement data processing; develop and implement data security and monitoring; and optimism data storage and processing storage. CertHippo Azure Data Engineering Training is the first step towards becoming an Azure Data Professional Engineer.

Is Azure Certified Data Engineer worth it?

Indeed, the Azure Data Engineer certification is a great method to show off your data engineering expertise. This Certification will enhance the amount of work opportunities, raise employee salary, and improve long-term career prospects.

The Azure certification broadens career prospects.
Certification as an Azure data engineer makes you more competitive.
Better pay is provided via the Azure Data Engineer Course.
Azure certification prepares you to grow in your profession.

How do I become an Azure data engineer?

The Azure DP 203 certification exam is designed for individuals who work as Professional Data Engineers on Microsoft Azure. To become a Microsoft Certified Azure Data Engineer, you must be familiar with data computation languages like SQL, Python, or Scala, as well as parallel processing and data architecture ideas. This course discusses all of these concepts through real-world project examples.

Which certificate is best for Azure Data Engineering Course?

Data Engineers should pursue the following certifications:

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

This Online Azure Data Engineer Course is specifically designed to provide you with the information you need to pass all of those exams.

Is Azure Data Engineering Training a good career?

Data Engineers will always be in demand as long as there is data to handle. According to Dice Insights, data engineering was the most sought-after career in the tech sector in 2019, surpassing computer scientists, web developers, and database designers. Data engineering may be both gratifying and challenging. You will contribute to the success of a business by simplifying access to information that analysts, data scientists, and decision-makers need to do their responsibilities. You'll need to use your programming and problem-solving skills to come up with effective solutions.

What is the future of Azure data Engineering Training?

Because of the computational power of BigQuery, Snowflake, Firebolt, Databricks, and other cloud warehousing systems, data engineers can perform massive projects rapidly. This trend away from open-source and on-premises solutions and towards cloud and managed SaaS allows developers to focus on responsibilities other than database management. Because data engineers are not in charge of managing storage and computing, their role in infrastructure development has shifted to more performance-focused parts in the information stack or even more specialized roles.

Which is better, a Data Engineer or Data Scientist?

Simply put, a data scientist can only understand data when it has been received in the proper format. The Data Engineer's duty is to get the data into the hands of a data science specialist. A Data Engineer is now more popular than a Data Scientist since tools cannot accomplish the functions of a Data Engineer. A Data Engineer, on the other hand, may make up to $90,8390 per year, whilst a data scientist can earn up to $91,470 per year. When comparing the figures of the Data Engineer with the Data Scientist, you may not detect a major difference at first. When it comes to figures, the data scientist might make 20 to 30% more than the ordinary Data Engineer.

Course Description

What are the prerequisites for this Azure Data Engineering Course on Az?

You must understand the foundations of Azure. You will receive free Azure Fundamentals self-paced videos as part of this Online Azure Data Engineering Training Course.

What are the Azure Data Engineer Skills?

The Azure Data Engineer DP-203 certification exam will assess the following abilities:

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 Course?

This class is open to anybody who is eager to learn and wants to become a Data Engineer or Data Architect. Azure Data Engineer Online Certification is in high demand across a wide range of business industries.

What are the system requirements for this Azure Data Engineer Online Course ?

A basic setup with at least 4GB RAM and an i3 CPU is required, as well as a functioning internet connection.

How will I execute practical’s in this Azure Data Engineer Certification Training ?

The practical’s will be completed utilizing an Azure Free Tier Account.