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Azure Data Engineer [DP-203] Training Online in India

Azure Data Engineer [DP-203] Training Online in India
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    Why enroll for DP 203: Data Engineering on Microsoft Azure in India?

    pay scale by Edureka courseMicrosoft is recognized as a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms for 12 consecutive years
    IndustriesAccording to Linkedin, Data Engineering is one of the fast growing jobs in technology with a growth rate of 40% year on year
    Average Salary growth by Edureka courseAverage 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 India

    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 India

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    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 India

    • skillDesign data storage solutions
    • skillAnalyze data using SQL and Spark
    • skillDesign and implement data security
    • skillMonitor data storage and data processing
    • skillOptimize data storage and data processing
    • skillCreate and manage data pipelines

    Tools Covered in India

    • Microsoft Azure
    • Microsoft Azure Blob Storage
    • Azure Cosmos DB
    • Azure SQL
    • Azure Synapse Analytics
    • Azure Stream Analytics
    • Azure HDInsight
    • Azure Data Factory
    • Azure data Bricks
    • SQL Server Management Studio
    • Python
    • Apache Spark

    Azure Data Engineering Certification Course Curriculum in India

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD 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

    skillHands-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

    skillSkills 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

    skillHands-on:

    • Navigating through Azure data engineering services

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-on:

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

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-on:

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

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-on:

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

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-on:

    • Manage authorization through column and row level security

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-on:

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

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillHands-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

    skillSkills 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

    skillUse 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

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    Azure Data Engineer Course Description in India

    Azure Data Engineer Course Description in India

    Azure Data Engineers in India help extract, transform, and load data from structured and unstructured data stores into data warehouses for businesses.

      What are the prerequisites for undertaking the Azure Data Engineer Course online in India?

      To enroll in this Azure Data Engineering Course in India, you should have a fundamental understanding of Azure. Additionally, as part of the course, you will have access to free Azure Fundamentals self-paced videos.

        What skills are essential for an Azure Data Engineer in India?

        The Azure Data Engineer DP-203 certification exam in India evaluates proficiency in the following areas:
        • 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 consider pursuing Azure Data Engineering Training in India?

        Individuals in India with a passion for learning and aspirations to become Data Engineers or Data Architects are encouraged to join this training program.

        Azure Data Engineer Projects in India

         certification projects

        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....
         certification projects

        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....

         certification projects

        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....

        Azure Data Engineering Certification - DP 203 EXAM in India

        DP-203 certifies proficiency in designing and implementing data solutions using Azure Data Services. Valuable for Azure Data Engineers in India.
        Those in India with skills in integrating, transforming, and consolidating diverse data systems should take the DP-203 exam to build effective analytical solutions.
        Microsoft's DP-203 Exam tests data engineering skills on Azure, covering storage, integration, processing, security, and compliance.
        In India, the DP-203 certification exam is an online assessment with a fee of โ‚น4800 INR subject to variation depending on the country or region where the exam is proctored.
        The DP-203 Exam in India spans 120 minutes (2 hours), providing ample time for candidates to demonstrate their knowledge and skills effectively.
        To attain the Azure DP-203 certification, candidates in India need to achieve a passing score of 700 out of 1000, reflecting their proficiency and understanding of the subject matter.
        The DP 203 Certification Exam is available in several languages, including English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian (Indonesia), catering to diverse candidates in India and worldwide.
        DP-203 Exam by Microsoft covers data storage, processing, security, monitoring, and optimization. Relevant for Indian data engineers.
        Candidates in India can make up to five attempts at the DP-203 exam within 12 months, allowing for ample opportunities to achieve success.
        In India, candidates must wait 24 hours to retake an exam if they fail. They can reschedule via the certification dashboard during this time.
        For individuals in India, failing the exam necessitates a waiting period of 24 hours before the next attempt. Subsequent retakes have a 14-day waiting period between them, with a maximum of five attempts allowed.
        The DP-203 certification holds a validity period of one year in India, with no prerequisite certifications required for eligibility, offering professionals a time-bound recognition of their skills and expertise
        Following completion of the exam, candidates in India can expect to receive their results within minutes for most exams. In cases where exams include labs, results may take approximately 30 minutes to score, with access available within 24 hours.
        Certification renewal in India is straightforward and cost-free. Candidates must pass an online assessment before the expiration date, extending the certification for an additional year from the date of passing.
        Microsoft awards the Azure Data Engineer Certificate to individuals in India who successfully pass the DP-203 exam, demonstrating their expertise and proficiency in Azure data engineering.
        To obtain Edureka's Azure Data Engineering Training completion certificate in India, candidates must fully participate in the Azure Data engineering Course, complete evaluations, and finish quizzes and projects as listed in the course requirements.
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        Microsoft Azure Data Engineer Course in India FAQs

        What are the companies hiring Data Engineers?

        • IBM
        • Microsoft
        • Facebook
        • Oracle
        • Amazon

        What career options can I pursue with Data Engineering skills?

        With Data Engineering skills, you can pursue roles like data engineer, database administrator, and business intelligence analyst in India. Start your journey by enrolling in a Data Engineering course.

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

        A specific college degree is optional. However, a bachelor's or master's in physics, computer science, or related fields in India is common. This Data Engineer course in India can kickstart your career, even without traditional qualifications.

        How Much Does the DP-203 Certification Cost in India?

        Azure Data Engineers in India earn an average of 830k annually. With relevant experience and certifications like Edureka's Data Engineer course, you can expect increased earning potential.

        Is Data Engineering difficult to master?

        The difficulty varies based on prior experience. Instructors simplify concepts, making the Azure Data Engineering Certification in India accessible to all aspiring engineers.

        Does Data Engineering require coding?

        Though not mandatory, a basic understanding of programming is beneficial for Data Engineering roles in India.

        Which language is best for Data Engineering?

        Java, Python, R, SQL, and Scala are widely used in Data Engineering roles in India.

        What are the admission criteria for the Data Engineer course?

        There's no eligibility requirement. Anyone interested in Azure Data Engineering in India can join. Basic knowledge of data structures, algorithms, SQL, and programming is helpful.

        What are the key skills needed for a Data Engineer?

        Proficiency in programming languages, relational databases, data warehouse systems, Apache Spark, and data modeling is crucial for Data Engineers in India.

        Are job opportunities available for fresh graduates after Azure Data Engineer Training in India?

        Fresh graduates with the right skills like algorithms, SQL, and programming have ample job opportunities in Data Engineering in India.

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

        Completing DP 203 Training online, ranging from 3 to 12 months, can pave your way into the field.

        What is the Azure Data Engineer Training in India DP 203?

        It evaluates technical capabilities in designing storage, data processing, security, monitoring, and optimization.

        What is the average salary of a DP- 203 Data Engineer Certification across countries?

        Data Engineers in India earn INR 795,486 on average, varying globally.

        Why should I take the Microsoft Azure Data Engineer Course in India?

        It certifies expertise in data science, opening up numerous job opportunities in India.

        Is the Azure Data Engineer Course in India worth it?

        Yes, it enhances job prospects and salary potential for Data Engineers in India.

        How do I become an Azure data engineer?

        Proficiency in data computation languages and architecture concepts is essential for becoming a certified Azure Data Engineer in India.

        Which certificate is the best for the AzureData Engineering course?

        Several certifications, including Microsoft Certified: Azure Data Engineer, are ideal for Data Engineering in India

        Is Azure Data Engineer Training Online India a good career?

        Yes, with the growing demand for data processing, Azure Data Engineer Training in India offers promising career prospects.

        What is the future of Azure data Engineering Training?

        Azure Data Engineer Training in India focuses on cloud solutions, ensuring scalability and performance in data processing.

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

        Both have their importance, but Data Engineers in India play a crucial role in data preparation, making them highly sought after in the industry.
        Be future ready, start learning
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