Why enroll for DP 203: Data Engineering on Microsoft Azure in Bangalore?
Microsoft is recognized as a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms for 12 consecutive years
According to Linkedin, Data Engineer Training in Bangalore is one of the fast growing jobs in technology with a growth rate of 40% year on year
Average salary for a Certified Data Engineer in Bangalore is INR 10.5 Lakhs per year in India and in the United States, it is $114,835 per year in the United States - Indeed.com
Azure Data Engineering Training Benefits in Bangalore
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 Bangalore
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
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About your DP 203: Data Engineering on Microsoft Azure
Azure Data Engineering Skills in Bangalore
Design data storage solutions
Analyze data using SQL and Spark
Design and implement data security
Monitor data storage and data processing
Optimize data storage and data processing
Create and manage data pipelines
Tools Covered in Bangalore
Azure Data Engineer Certification Course Curriculum in Bangalore
Curriculum Designed by Experts
DOWNLOAD CURRICULUM
Introduction to Microsoft Azure and its Services
7 Topics
Topics:
Azure Subscriptions
Azure Resources
Azure Free Tier Account
Azure Resource Manager
Azure Resource Manager Template
Azure Storage
Types of Azure Storage
Hands-on:
Create a free tier Azure account
Create a web app service using Azure Portal
Create and Deploy ARM templates
Manage Azure Storage account
Manage Azure Cost and Billing
Skills You will Learn:
Creating ARM templates
Accessing Azure Storage Service
Azure Cost and Billing Services
Introduction To Azure Data Engineering
14 Topics
Topics:
Understand the evolving world of data
Data abundance
Understanding the Data Engineering Problem
Understand job responsibilities
Understanding Data Engineering Processing - Extract Transform and Load
Overview of Azure Data Engineering Services
Understand data storage in Azure Storage
Understand data storage in Azure Data Lake Storage
Understand Azure Cosmos DB
Understand Azure SQL Database
Understand Azure Synapse Analytics
Understand Azure Stream Analytics
Understand Azure HDInsight
Understand other Azure data services
Hands-on:
Navigating through Azure data engineering services
Skills You will Learn:
Analyzing Data Engineering Process
Understanding Azure Services
Storing Data in Azure
13 Topics
Topics:
How to choose an Azure Storage Service in Azure
Create an Azure Storage Account
Connect an app to Azure Storage API
Connect to your Azure storage account
Explore Azure Storage security features
Understand storage account keys
Understand shared access signatures
Control network access to your storage account
Understand Advanced Threat Protection for Azure Storage
Explore Azure Data Lake Storage security features
Introduction to Blob storage
What are blobs?
Design a storage organization strategy
Hands-on:
Add the storage client library to your app
Add Azure Storage configuration to your app
Connect your application to your Azure Storage account
Create Azure storage resources
Configure and initialize the client library
Get blob references
Blob uploads and downloads
Skills You will Learn:
Working with Azure Storage
Configuring Security in Azure Storage
Storing blob data in Azure Storage
Azure Data Factory - I
15 Topics
Topics:
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Understand Azure Data Factory
Describe data integration patterns
Explain the data factory process
Understand Azure Data Factory components
Azure Data Factory security
Set-up Azure Data Factory
Create linked services
Create datasets
Create data factory activities and pipelines
Manage integration runtimes
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
List the data factory ingestion methods
Describe data factory connectors
Understand data ingestion security considerations
Hands-on:
Use the data factory copy activity
Manage the self hosted integration runtime
Setup the Azure integration runtime
Skills You will Learn:
Working with Azure Data Factory
Integrating Azure Data Factory
Azure Data Factory security
Implementing Data Factory connectors
Azure Data Factory - II
22 Topics
Topics:
Explain Data Factory transformation methods
Describe Data Factory transformation types
Debug mapping data flow
Describe slowly changing dimensions
Choose between slowly changing dimension types
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
Execute data factory packages
Describe SQL Server Integration Services
Understand the Azure-SIS integration runtime
Set-up Azure-SIS integration runtime
Run SSIS packages in Azure Data Factory
Migrate SSIS packages to Azure Data Factory
Configure a git repository with a development factory
Create and merge a feature branch
Deploy a release pipeline
Visually monitor pipeline runs
Integrate with Azure Monitor
Set up alerts
Rerun pipeline runs
Hands-on:
Author an Azure Data Factory mapping data flow
Use Data Factory wrangling data
Use compute transformations within Data Factory
Integrate SQL Server Integration Services packages within Data Factory
Design and implement a Type 1 slowly changing dimension with mapping data flows
Integrate a Notebook within Azure Synapse Pipelines
Skills You will Learn:
Implementing Data Factory transformations
Implementing slowly changing dimensions
Working with SQL server integration
Configuring a git repository
Integrating Azure monitor and set up alerts
Azure Synapse Analytics - I
10 Topics
Topics:
What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Create Azure Synapse Analytics workspace
Describe Azure Synapse Analytics SQL
Explain Apache Spark in Azure Synapse Analytics
Orchestrate data integration with Azure Synapse pipelines
Visualize your analytics with Power BI
Understand hybrid transactional analytical processing with Azure Synapse Link
Use Azure Synapse Studio
Hands-on:
Explore Azure Synapse Analytics
Create pools in Azure Synapse Analytics
Identifying Azure Synapse pipeline components
Skills You will Learn:
Working with Azure Synapse Analytics
Managing Azure Synapse Analytics workspace
Querying data and Visualizing analytics
Working with Azure Synapse pipeline components
Azure Synapse Analytics - II
6 Topics
Topics:
Understand the Azure Synapse Analytical processes
Explore the Data hub
Explore the Develop hub
Explore the Integrate hub
Explore the Monitor hub
Explore the Manage hub
Hands-on:
Create a new data flow or dataset, and manage the file
Use the Monitor hub to view pipeline and trigger runs, view the status of the various integration runtimes
Skills You will Learn:
Designing the new data flow or dataset
Working with various types of hubs
Data Warehouses using Azure Synapse Analytics - I
7 Topics
Topics:
Describe a modern data warehouse
Define a modern data warehouse architecture
Exercise - Identify modern data warehouse architecture components
Design ingestion patterns for a modern data warehouse
Understand data storage for a modern data warehouse
Understand file formats and structure for a modern data warehouse
Prepare and transform data with Azure Synapse Analytics
Hands-on:
Serve data for analysis with Azure Synapse Analytics
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse
Skills You will Learn:
Designing a Modern Data Warehouse Architecture
Building a Data Warehouse
Working with different file formats
Preparing and transforming data
Data Warehouses using Azure Synapse Analytics - II
8 Topics
Topics:
Understand data load design goals
Explain load methods into Azure Synapse Analytics
Manage source data files
Manage singleton updates
Set-up dedicated data load accounts
Implement workload management
Simplify ingestion with the Copy Activity
Understand performance issues related to tables
Hands-on:
Data Loading in Azure Synapse Analytics
Data Ingestion using Copy Activity
Implement workload management
Understand performance issues related to tables
Skills You will Learn:
Loading data using Azure Synapse Analytics
Implementing workload management
Optimizing Data Queries in Azure
14 Topics
Topics:
Understand table distribution design
Use indexes to improve query performance
Understand query plans
Create statistics to improve query performance
Improve query performance with materialized views
Use read committed snapshot for data consistency
How does statistics affect a query plan?
Describe the integration methods between SQL and spark pools in Azure Synapse Analytics
Understand the use-cases for SQL and spark pools integration
Exercise: Integrate SQL and spark pools in Azure Synapse Analytics
Externalize the use of spark pools within Azure Synapse Workspace
Transfer data outside the synapse workspace using the PySpark connector
Explore the development tools for Azure Synapse Analytics
Understand transact-SQL language capabilities for Azure Synapse Analytics
Hands-on:
Use table distribution and indexes to improve performance
Optimize common queries with result-set caching
Work with windowing functions
Work with approximate execution
Work with JSON data in SQL pools
Encapsulate transact-SQL logic with stored procedures
Authenticate in Azure Synapse Analytics
Transfer data between SQL and spark pool in Azure Synapse Analytics
Authenticate between spark and SQL pool in Azure Synapse Analytics
Skills You will Learn:
Optimizing data queries in Azure
Authenticating in Azure Synapse Analytics
Working with SQL and Spark pool
Managing Workloads in Azure Synapse Analytics
12 Topics
Topics:
Scale compute resources in Azure Synapse Analytics
Pause compute in Azure Synapse Analytics
Manage workloads in Azure Synapse Analytics
Use Azure Advisor to review recommendations
Use dynamic management views to identify and troubleshoot query performance
Understand skewed data and space usage
Understand network security options for Azure Synapse Analytics
Configure Conditional Access
Configure authentication
Manage authorization through column and row level security
Manage sensitive data with Dynamic Data Masking
Implement encryption in Azure Synapse Analytics
Hands-on:
Manage authorization through column and row level security
Skills You will Learn:
Managing workloads in Azure Synapse Analytics
Authentication and authorization in Azure Synapse Analytics
Implementing encryption in Azure Synapse Analytics
Deep Dive into Azure Databricks
19 Topics
Topics:
Get started with Azure Databricks
Identify Azure Databricks workloads
Understand key concepts
Use Apache Spark in Azure Databricks
Create a Spark cluster
Use Spark in notebooks
Use Spark to work with data files
Visualize data
Get Started with Delta Lake
Create Delta Lake tables
Create and query catalog tables
Use Delta Lake for streaming data
Get started with SQL Warehouses
Create databases and tables
Create queries and dashboards
Understand Azure Databricks notebooks and pipelines
Create a linked service for Azure Databricks
Use a Notebook activity in a pipeline
Use parameters in a notebook
Hands-on:
Explore Azure Databricks
Run an Azure Databricks Notebook with Azure Data Factory
Use a SQL Warehouse in Azure Databricks
Use Delta Lake in Azure Databricks
Use Spark in Azure Databricks
Skills You will Learn:
Working with Azure Databricks
Running interactive and scheduled data analysis workloads
Capstone Project
3 Topics
Topics:
In this project, you will design a secure, analytical, data ingestion, scalable, build and deploy data pipeline solution which you have learned as a part of this certification course
Documentation and presentation: Develop detailed documentation outlining the design and implementation of the Azure data solution, and effectively present the solution and its outcomes to business
Design and implement an Azure Data Solution
Integrating Azure Data Solutions with Other Services (Self-paced)
4 Topics
Topics:
Integrating Azure Data Solutions with Azure Synapse Analytics
Integrating Azure Data Solutions with Power BI
Integrating Azure Data Solutions with Azure Logic Apps
Best Practices for Integrating Azure Data Solutions with Other Services
Hands-on:
Working with the Azure Data Solutions with Azure Synapse Analytics
Build and deploy Azure Data Solutions with Power BI
Skills You will Learn:
Using Azure Data Solutions with Power BI
Designing the Azure Data Solutions
Best practices for integrating Azure Data Solutions
Security and Compliance (Self-paced)
4 Topics
Topics:
Overview of Azure Security Features
Implementing Security for Azure Data Storage Solutions
Implementing Security for Azure Data Processing Solutions
Best Practices for Securing Data Solutions in Azure
Hands-on:
To demonstrate the practical implementation of security and compliance measures in Azure data engineering to safeguard the organization's data
To demonstrate the practical implementation of compliance measures in Azure data engineering to ensure adherence to regulatory requirements
Skills You will Learn:
Securing the Azure Data Storage Solutions
Implementing Security for Data Processing Solutions
Monitoring and Optimizing Data Solutions (Self-paced)
4 Topics
Topics:
Monitoring and Alerting Strategies for Azure Data Solutions
Optimizing Data Processing Solutions for Performance and Cost
Using Azure Monitor to Monitor Data Solutions
Best Practices for Monitoring and Optimizing Azure Data Solutions
Hands-on:
To demonstrate the practical implementation of monitoring measures in Azure data engineering solutions to ensure efficient system operation
Implementation of optimization measures in Azure data engineering solutions to ensure better system performance, reduce costs, and increase productivity
Skills You will Learn:
Enhancing Data for Performance and Cost
Setting up the Azure Monitor
Industrial Case Studies (Self-paced)
3 Topics
Topics:
Case Studies on Implementing Azure Data Solutions
Emerging Trends and Technologies in Azure Data Engineering
Best Practices for Keeping Up with Industry Trends in Azure Data Engineering
Use Cases:
Case Studies on Mitsubishi Heavy Industries (MHI) Group
Case Studies on Bayer AG
Case Studies on fischer
Case Studies on New York City Department of Education
Case Studies on Amadeus
Scenario Based Exam Dumps
1 Topics
Topics:
Scenario Based Dumps Set -1,2,3,4,5,6,7
DP-203 Certification: Practice Exam
2 Topics
Topics:
Practise Exam Set 1,2,3
3 practise exams with a minimum passing score of 700 will allow you to gauge your level of preparation
Azure Data Engineering Interview Preparation
1 Topics
Topics:
Interview preparation material to assist you in getting ready for the upcoming interviews
Reference Material
2 Topics
Topics:
Whitepapers
Reference Documents
Bonus Content
2 Topics
Additional Resources (Part 1)
Additional Resources (Part 2)
Free Career Counselling
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Azure Data Engineer Certification in Bangalore Description
What are the prerequisites for this Training?
You'll receive free self-paced Azure Fundamentals videos as part of the course.
What skills will you learn?
The DP-203 certification exam will assess your proficiency in various 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 would benefit from this training?
Anyone who wants to become a Data Engineer or Architect can join this training.
Azure Data Engineer Projects in Bangalore
Data-Driven Decision-Making to Optimize Online Retail Customer Experience and Increase Sales
The retail company recognizes the importance of online sales and the customer experience in today's digital age. To stay competitive, they understand that they need to use data-d....
Enhancing Data Processing and Analysis Capabilities for Advertising Analytics Company
An advertisement analytics company is looking to improve their data processing and analysis capabilities. They receive large amounts of data on a daily basis from various sour....
Developing a Real-Time Predictive Maintenance Solution for Industrial Equipment Using Machine Learning
An AI analytics company is developing a predictive maintenance solution for industrial equipment, using machine learning to predict equipment failures and schedule maintenance....
DP 203 Certification Exam in Bangalore
The duration of the DP-203 exam is 120 minutes, which is equivalent to 2 hours.
The DP-203 Exam by Microsoft tests proficiency in Azure data engineering. It covers designing and implementing data storage, integration, transformation, processing, security, and compliance solutions.
The DP-203 Certification Exam in Bangalore is available in multiple languages, including English, Chinese, Japanese, Korean, German, French, Spanish, Portuguese, Arabic, Russian, Italian, and Indonesian.
The cost of the online DP-203 exam is ₹4,800 and may vary depending on the location of the exam proctor.
To renew your DP-203 certification, you must pass an online assessment before it expires. There is no cost for renewal, and you can take in the evaluation at any time during your six-month eligibility window on Microsoft Learn.
Microsoft awards the Azure Data Engineer Certification to professionals who pass the DP-203 exam and demonstrate their expertise.
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Microsoft Data Engineer Course in Bangalore FAQs
Which companies in Bangalore hire Certified Azure Data Engineers?
Some of the companies hiring Certified Azure Data Engineers in Bangalore include IBM, Microsoft, Facebook, Oracle, and Amazon.
Is Azure Data Engineer Course in Bangalore good career?
Yes, Azure Data Engineering offers rewarding career opportunities, and professionals in this field are highly sought-after by top companies.
What is the average salary for certified Microsoft Data Engineer in bangalore?
According to Glassdoor, the average salary for a data engineer in Bangalore is ₹11,00,000 per year. The highest salary for a data engineer in Bangalore is ₹20,42,500 per year, while the lowest is ₹7,00,000 per year.
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