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Azure Data Engineer [DP-203] Training Course in Delhi

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

    pay scale by Edureka courseMicrosoft Azure Data Engineer Training in Delhi 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 Engineer 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 Certified Data Engineer Course in Delhi 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 Delhi

    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 Delhi

    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 Delhi

    • 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 Delhi

    • 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 Delhi

    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 Delhi

    Who is an Azure Data Engineer?

    Azure Data Engineers assist businesses in extracting, transforming, and loading data from various structured and unstructured data sources into data warehouses.

      What are the prerequisites for this Azure Data Engineer Course in Delhi?

      You will receive self-paced video lessons that cover Azure fundamentals for free as part of this course.

        What are the Azure Data Engineer Skills?

        The Azure Data Engineer DP-203 certification exam will assess your proficiency in the 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 Data Engineer Course in Delhi?

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

          Azure Data Engineer Projects in Delhi

           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 Delhi

          The DP-203 certification, provided by Microsoft, validates a candidate's capabilities and understanding in devising and executing data solutions utilizing Azure Data Services. Specifically, it concentrates on Azure Data Engineers in Delhi, who are responsible for designing and implementing data storage, data processing, and data security solutions on the Microsoft Azure platform.
          If you want to take an exam in Delhi, you need to have expertise in integrating and consolidating data from different systems. This will help you create effective analytic solutions.
          Microsoft offers a certification called DP-203 Exam in Delhi to evaluate a person's proficiency in data engineering on Azure. This certification involves testing the candidate's skills in designing and implementing Azure data storage solutions, data integration and transformation solutions, data processing solutions, and data security and compliance solutions.
          The DP 203 exam can be taken online and costs โ‚น4,800 in India (the fee may vary depending on where the exam is taken).
          The DP-203 Exam lasts for 120 minutes (2 hours).
          In order to obtain the Azure DP-203 certification in Delhi, candidates must score at least 700 out of 1000. This score is determined based on the knowledge and skills demonstrated by the candidate, as well as the difficulty level of the questions asked.
          The DP 203 Certification Exam in Delhi is accessible in several languages, including English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian (Indonesia).
          The significant topics covered in the Microsoft Azure DP-203 Exam in Delhi include:
          • Designing and implementing data storage (15โ€“20%)
          • Developing data processing (40โ€“45%)
          • Securing, monitoring, and optimizing data storage and data processing (30โ€“35%)
          Candidates can attempt a particular exam up to five times within 12 months. If a candidate is not successful on all five attempts, they must wait for 12 months from their first attempt before trying again. This information can be helpful for those planning to take exams in Delhi. It is important to note that candidates can take the exam up to five times in 12 months.
          If a candidate fails the exam on the first attempt in Delhi, they are required to wait for 24 hours before retaking the exam. During this period, they can access the certification dashboard to reschedule the exam. However, retaking an exam that has already been passed is only allowed if the certification has expired. It is important to note that applicable fees may be charged for retaking the exam.
          The DP-203 certification has a validity period of one year and doesn't require any prerequisite certifications.
          Renewing your certification is completely free of cost. You need to pass the online assessment before the expiration date to ensure the renewal. The renewal assessment can be taken at any time during the six-month eligibility window through Microsoft Learn. Passing the assessment will extend your certification by one year from the date of passing.
          The Microsoft Azure Data Engineer Certificate is awarded to professionals who pass the DP-203 exam, demonstrating their expertise in data engineering.
          Completing the Azure Data Engineer course and meeting Edureka's additional requirements in Delhi unlocks the certification.
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          Microsoft Data Engineer Course in Delhi FAQs

          What are the companies hiring Azure Data Engineer Training in Delhi?

          • IBM
          • Microsoft
          • Facebook
          • Oracle
          • Amazon

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

          Data engineering skills are highly sought-after. Register for the Data Engineer course to qualify for job roles such as data engineer, data warehouse manager, database administrator, business intelligence analyst, and data architect.

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

          There is no specific college degree requirement for becoming a Data Engineer. Still, most professionals in this field hold a bachelor's or master's degree in physics, computer science, applied math, statistics, or related fields. If you're looking to start a career in this field, this Data Engineer course can help you gain the educational qualifications and knowledge you need to succeed.

          Does Data Engineering require coding?

          Basic programming knowledge is highly recommended for Data Engineering jobs.

          What is the most suitable programming language for Data Engineering?

          Java, Python, R, SQL, and Scala are the most widely utilized languages in the area of Data Engineering.

          What are the admission criteria for becoming a candidate for this Azure Data Engineer course?

          There are no eligibility requirements for our Azure Data Engineer course. Learn data engineering using Azure with us. A basic understanding of data structures, algorithms, SQL, Python, and Java programming, cloud platforms, distributed systems, and data pipelines is helpful.

          What are the essential skills required to become a Data Engineer?

          Data engineers require programming skills in Java, Python, or C++, relational database skills, and expertise in data warehousing, Apache Spark, data mining, and modeling. The Delhi Data Engineer Certification can help develop these skills.

          Can a fresh graduate find job opportunities after completing the Azure Data Engineer course in Delhi?

          If you're interested in starting a career in Data Engineering, you can enroll in our Data Engineer Certification course in Delhi. Having a solid understanding of algorithms, data structures, SQL, Python and Java programming languages, cloud platforms, distributed systems, and data pipelines will make it easier for you to take our course.

          How long will it take to become a Data Engineer?

          Attending the Azure Data Engineer Certification in Delhi can help you become a data engineer. The duration of the program varies from 3 to 12 months. Completing a 3-month course can lead to entry-level positions at top companies.

          Why should I take Microsoft Azure Data Engineer Certification in Delhi?

          Get certified as a data science expert with The Azure Data Engineer Course. Our comprehensive program will equip you with the necessary skills to succeed as a data engineer and provide you with a job-ready portfolio upon completion.

          Which certificate is best for the Azure Data Engineer Training Course in Delhi?

          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 โ€“ 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 โ€“ Cloud Pak for Data v4.x
          • IBM Certified Solution Architect โ€“ Data Warehouse V1
          • SAS Certified Big Data Professional

          What is the future of the Azure Data Engineer Course in Delhi?

          Data engineers now complete large tasks faster with the help of cloud warehousing solutions like BigQuery, Snowflake, Firebolt, and Databricks. The shift towards cloud-based and managed SaaS solutions means engineers can focus on tasks unrelated to managing databases. This has resulted in their role evolving to focus more on infrastructure development and specialized functions.
          Be future ready, start learning
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