Azure Data Engineering: Transforming the Data with Azure Services

Azure Data Engineering: Transforming the Data with Azure Services

azure data engineering-Technogeeks

Azure Data Engineering: Transforming the Data with Azure Services

Azure Data Engineering: Transforming the Data with Azure Services

Azure Data Engineering: Transforming the Data with Azure Services


Azure Data Engineering: Transforming the Data with Azure Services

Azure Data Engineering: Transforming the Data with Azure Services

Data has become increasingly central to the success of businesses today. Organizations seek ways to extract value from their data and derive insights to help them make strategic decisions. Azure Data Engineer uses the power of big data and produces actionable insights. In this blog, let’s explore the world of Azure Data Engineering and its effect on how we process, store & analyze data!!

What’s Microsoft Azure

Azure logo-Azure data engineering-Technogeeks
Azure logo-Azure data engineering-Technogeeks

Before diving into the world of Azure Data Engineering, let’s first understand: what is Microsoft Azure? & what it offers?

Microsoft Azure is a cloud computing platform. It’s also a set of services offered by Microsoft. It offers a global network of data centers to businesses & organizations. Through these data centers, it’s possible to build, deploy, and manage apps & services. Azure provides various services businesses use to build scalable and reliable solutions.

The key features of Microsoft Azure are…

1. Flexible pricing models: Azure offers pay-as-you-go, reserved instance, and volume licensing options to help businesses optimize their cloud spending.

2. Scalability and reliability: Azure offers automatic scaling and redundancy to ensure the high availability and performance of applications.

3. Security & compliance: Azure offers built-in security features and compliance certifications to protect customer data.

4. Integration with other Microsoft products: Azure integrates with other Microsoft products, such as Office 365 and Dynamics 365.

By leveraging the power of Azure, businesses can…

1. reduce costs

2. increase agility

3. accelerate innovation.


Microsoft Azure Certification

Microsoft Azure Certification is a globally recognized certification that validates your expertise in Microsoft Azure. Azure Data Engineer certification is a great way to demonstrate your skills in cloud computing, especially with Azure. There are many types of Azure certifications, ranging from basic to expert level. So, you can choose the one that best fits your needs & experience level.

The most popular Azure certifications are…

1. Microsoft Certified: Azure Fundamentals

2. Microsoft Certified: Azure Administrator Associate

3. Microsoft Certified: Azure Solutions Architect Expert

To earn an Azure certification, you will need to pass one or more exams that test your knowledge of Azure services, solutions, and best practices. Earning an Azure certification can help you stand out in a competitive job market and increase your earning potential. In addition, certification can also help you gain recognition from your peers and employers and show that you are committed to continuing your professional development and staying up-to-date with the latest trends and technologies in cloud computing.


DP 203: Azure 203

DP-203 is a certification exam offered by Microsoft that validates a candidate’s skills and knowledge in designing and implementing data solutions on Microsoft Azure. The exam focuses on various aspects of Azure data services, such as data storage, data processing, data security, and data management.

The exam covers the following topics:

1. Designing data storage solutions

2. Managing and developing data processing solutions

3. Designing for data security and compliance

4. Designing data management solutions

If you’re thinking, is DP for engineering students? The exam is intended for data professionals, data architects, and developers who design and implement data solutions using Azure data services. Candidates are required to have a good understanding of Azure data services, SQL programming, and data modeling concepts.


Getting Started with Azure Data Engineering

Now that we understand what Microsoft Azure is, let’s dive into Azure Data Engineering!!


What is Data Engineering?

Data Engineering is really important for any organization that deals with large amounts of data. As the demand for data driven decision making constantly increases, businesses seek ways to efficiently & effectively manage their data.

Microsoft Azure provides cloud computing services that can be categorized into 3 main categories…


Infrastructure as a Service (IaaS)

IaaS rents virtualized computing resources such as virtual machines, storage, and networking.


Platform as a Service (PaaS)

Like the name, PaaS develops, runs, and manages applications on the infrastructure of a cloud provider.


Software as a Service (SaaS)

SaaS accesses software applications over the internet without installing or maintaining them on your device.

Azure Data Engineering is a collection of services offered by Microsoft Azure that allow businesses to process and transform their data. Some of the key services offered by Azure Data Engineering include…

1. Azure Data Factory

2. Azure Databricks

3. Azure HDInsight

4. Azure Stream Analytics

By leveraging these services, businesses can efficiently and effectively manage their data and extract valuable insights from it.


Azure Data Engineering Services

Azure Data Engineering Services provides a variety of tools and services to manage, transform and analyze data at a massive scale. Here are some of the key services provided by Azure Data Engineering….

Azure Data Factory logo-Azure Data Engineering-Technogeeks
Azure Data Factory logo-Azure Data Engineering-Technogeeks


Azure Data Factory

It’s a cloud based data integration service. Azure Data Factory allows you to create, schedule and direct data workflows. You can use Azure Data Factory to ingest data from various sources, transform it and load it into a variety of data stores.




Databricks logo-Azure Data Engineering-Technogeeks
Databricks logo-Azure Data Engineering-Technogeeks

Azure Databricks

A collaborative, fast, and reliable platform for Data Analytics & machine Learning is Azure Databricks. Azure Databricks allows you to build data pipelines, train machine learning models, and perform advanced analytics.

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Azure Stream Analytics

It is a real time data stream processing service. Azure Stream Analytics allows you to analyze data from various sources in real time. You can use Azure Stream Analytics to…

1. gain insights from streaming data

2. detect anomalies

3. trigger actions based on real time events


Azure Synapse Analytics-Azure Data Engineering-Technogeeks
Azure Synapse Analytics-Azure Data Engineering-Technogeeks

Azure Synapse Analytics

It’s an analytics service that brings together big data & data warehousing. Azure Synapse Analytics allows you to run complex queries against massive amounts of data using Apache Spark, and it also provides a powerful workspace for data integration, data warehousing, and machine learning.



Azure HDInsight logo-Azure Data Engineering-Technogeeks

Azure HDInsight

It’s a fully managed cloud service that makes it easy to process big data using popular open-source frameworks…

1. Hadoop

2. Spark

                                                   3. Hive

                                                   4. Kafka

Azure HDInsight allows you to build big data solutions quickly and easily without having to worry about managing the underlying infrastructure.

By using these services, Azure Data Engineering provides a complete solution to manage data, from ingestion to transformation to analysis.


Azure Data Engineer Jobs

Azure data engineering is one of the most in-demand skills in the market today, and it opens up many job opportunities for those who have the required skills and knowledge.
Let’s see some Azure Data Engineer jobs.


Azure Data Engineer

Azure Data Engineer roles and responsibilities are…

1. Design, build, and maintain data pipelines and data systems on Azure

2. They work closely with data scientists, analysts, and other stakeholders

3. Ensure that the data infrastructure is scalable, reliable, and efficient


Data Engineer

Data engineers are responsible for designing, building, and maintaining data pipelines and systems. In Azure, a data engineer would work with services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to build data solutions.


Cloud Data Engineer

Cloud Data Engineer roles and responsibilities are…

– design, build, and maintain cloud based data solutions

– use services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to build scalable, reliable, and efficient data systems.


Big Data Engineer

Big Data Engineer roles and responsibilities…

– work with large and complex data sets

– design, build, and maintain data pipelines that can handle petabytes of data

– In Azure, you can use services such as Azure HDInsight, Azure Databricks, and Azure Synapse Analytics to work with big data.


Data Platform Engineer

Data platform engineers roles and responsibilities….

– designing, building, and maintaining the data platform for an organization

– In Azure, you can use services such as Azure SQL Database, Azure Cosmos DB, and Azure Synapse Analytics to build a scalable and reliable data platform.

These are just a few of the job roles that you can consider in the field of Azure data engineering. There are many other roles as well, such as data architect, data analyst, and machine learning engineer, that require skills in Azure data engineering.


Azure Data Engineer Salary

Azure Data Engineer salary in India can vary based on several factors, such as experience, location, and specific company. According to various job portals and salary data websites…

– The average salary for an entry-level Azure Data Engineer in India is around ₹6 lakhs per annum.

– For experienced Azure Data Engineers in India, the average salary can be around ₹20 lakhs per annum.

However, salaries can vary depending on the job role, industry, and location. It is important to research and consider multiple factors when evaluating job opportunities and expected salary.



In conclusion, Azure Data Engineering is very important in today’s data management. Handling vast amounts of data has become easier with Azure Data Engineering companies. With Azure Data Engineering Services, organizations can finally see the full potential of their data and grow business with the valuable insights.

So, if you are interested in pursuing a career in Azure Data Engineering, check out our course on Azure data engineer. Technogeeks can guide you through the roadmap of an Azure Data Engineer. So, click on the link below and enter the world of Azure Data Engineering!!




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