- Microsoft Data Engineer is a position that bestows you with an opportunity to validate your expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures respectively. Well, this specific course is part of a specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. If you want to establish your career in this direction, then you should immediately get in touch with Croma Campus to acquire detailed training from it by qualified experts.
Here, at Croma Campus, you will be explained this subject right from the scratch.
Right imbibing theoretical information, you will also get the opportunity to know its practical implementation as well.
Post completing your training, you will be assured 100% placements.
Here, you will get the opportunity to experience a whole new interactive way of learning.
You will find our trainers working on your communication skills as well.
- Post getting started with our certification program, you will gradually see our course content comprising of the latest trends and newest features concerning this subject.
Our trainers will help you to explore its different sections concerning numerous instances.
In fact, by enrolling in our courses, you will get a fair chance to acquire information concerning Azure's Modern Enterprise Data and Analytics Platform.
Moreover, our trainers will also assist you to understand the business prospect of the Azure Data Platform respectively.
Our highly qualified faculty members will also guide you thoroughly concerning designing and developing data processing and implementing data security intently.
By enrolling into this course, you will come across some hidden facts as well.
- Salary Expectation for Fresher :
By obtaining this legitimate accreditation, you will genuinely be able to grab quite a decent salary structure.
To be accurate, here in India, you will be able to make 7,69,591 per year, right at the starting of your career, which is eventually good.
Further, in your career, your salary will get increased with time and the skills you tend to imbibe.
Here, we will thoroughly guide you to imbibe its skills as well.
Post the completion of your course, you will find our trainers helping you in preparing for the interview.
- By exploring different sides of Azure, you will gradually imbibe detailed information which will encourage you to do better and obtain growth and success as well. So, to remain in the IT field for a long time, you should surely look up to this course.
Here, at Croma Campus, our vision is to see you succeed in your direction.
In fact, our trainers will thoroughly guide you right from scratch to imbibe its skills, advantages, pros, and consequences respectively.
Along with the theoretical training, our trainers will keep on guiding you about the interview procedure as well.
Hence, by imbibing its details, and acquiring its accreditation, you will be eligible enough to work as a Microsoft Azure Data Engineer respectively.
You will obtain an overall idea of developing the infrastructure and architecture for data purposes as well.
- Azure is one of a kind field that has a bright scope ahead. And getting associated with this direction will eventually uplift your career graph.
This specific certification will let you know about the integration, transforming procedure.
Furthermore, our trainers will thoroughly guide you concerning building analytics solutions.
Furthermore, you will also be given detailed information regarding Data warehouse, ETL, Data monitoring, data security, analytics, etc.
Moreover, our trainers will guide you about the Microsoft Azure Cosmos Database, Microsoft Azure Data Lake Storage, Microsoft Azure PostgreSQL Database, and Microsoft Azure Blob respectively.
In a way, you will receive qualitative in-depth information regarding this subject from industry experts holding years of experience in this field.
Another reason to opt this field is its future scope, and higher salary package.
- Well, a legit Microsoft Azure Data Engineering has to perform loads of tasks. But it also depends upon the kind of projects they are indulging in and what it demands majorly.
Your foremost responsibility will be to implement a robust data pipeline by making the utilization of Microsoft Stack
In fact, you will be also responsible for building reusable and scalable data pipelines respectively.
Furthermore, your duty will also be to develop and deploy various data platforms.
Henceforth, your duties will also include utilizing Azure BI services for the development process of Big Data Platforms
You will also have to indulge in creating reusable elements for the rapid development of data platforms respectively.
In fact, you will also have to execute deploying AI algorithms into the data platform.
Your job responsibility will also include keeping up with your teammates and taking in their suggestions as well.
- Top Hirings for Microsoft Azure Data Engineering :
Deloitte, Accenture, TCS, EY are some of the top-most companies hiring skilled candidates.
Moreover, post the completion of your course, our team will make you appear in front of the interviews for huge companies.
With having this accreditation in hand, you will grab one of the highest salary structures.
This training will allow you to acquire some new information.
By obtaining this accreditation, you will get the chance to stick to this field in the long run, and will always have numerous opportunities in hand.
- Training Certificate :
You will find our training certifications quite affordable, and in fact, you will also get the chance to pay it in bits, and pieces.
Our accreditations are being widely accepted in numerous fields.
In fact, by graduating from our institution, you might get into a well-established company.
Croma Campus offers you more than 140+ courses, so apart from this course, you can opt for several other courses as well.
Why you should choose MS Azure?
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CURRICULUM & PROJECTS
DP 203 Data Engineering on Azure Training
- Design and Implement Data Storage.
- Design and Develop Data Processing.
- Design and Implement Data Security.
- Monitor and Optimize Data Storage and Data Processing.
- Design an Azure Data Lake solution
- Recommend file types for storage
- Recommend file types for analytical queries
- Design for efficient querying
- Design for data pruning
- Design a folder structure that represents the levels of data transformation
- Design a distribution strategy
- Design a partition strategy for files
- Design a partition strategy for analytical workloads
- Design a partition strategy for efficiency/performance
- Design a partition strategy for Azure Synapse Analytics
- Identify when partitioning is needed in Azure Data Lake Storage Gen2
- Design star schemas
- Design slowly changing dimensions
- Design a dimensional hierarchy
- Design a solution for temporal data
- Design for incremental loading
- Design analytical stores
- Design meta stores in Azure Synapse Analytics and Azure Data bricks
- Implement compression
- Implement partitioning
- Implement sharing
- Implement different table geometries with Azure Synapse Analytics pools
- Implement data redundancy
- Implement distributions
- Implement data archiving
- Build a temporal data solution
- Build a slowly changing dimension
- Build a logical folder structure
- Build external tables
- Implement file and folder structures for efficient querying and data pruning
- Deliver data in a relational star schema
- Deliver data in Parquet files
- Maintain metadata
- Implement a dimensional hierarchy
- Transform data by using Apache Spark
- Transform data by using Transact-SQL
- Transform data by using Data Factory
- Transform data by using Azure Synapse Pipelines
- Transform data by using Stream Analytics
- Cleanse data
- Split data
- Shred JSON
- Encode and decode data
- Configure error handling for the transformation
- Normalize and deformalize values
- Transform data by using Scala
- Perform data exploratory analysis
- Develop batch processing solutions by using Data Factory, Data Lake, Spark, Azure
- Synapse Pipelines, Polybasic, and Azure Data bricks
- Create data pipelines
- Design and implement incremental data loads
- Design and develop slowly changing dimensions
- Handle security and compliance requirements
- Scale resources
- Configure the batch size
- Design and create tests for data pipelines
- Integrate Jupyter/Python notebooks into a data pipeline
- Handle duplicate data
- Handle missing data
- Handle late-arriving data
- Upset data
- Regress to a previous state
- Design and configure exception handling
- Configure batch retention
- Design a batch processing solution
- Debug Spark jobs by using the Spark UI
- Develop a stream processing solution by using Stream Analytics, Azure Data bricks, and
- Azure Event Hubs
- Process data by using Spark structured streaming
- Monitor for performance and functional regressions
- Design and create windowed aggregates
- Handle schema drift
- Process time series data
- Process across partitions
- Process within one partition
- Configure checkpoints/watermarking during processing
- Scale resources
- Design and create tests for data pipelines
- Optimize pipelines for analytical or transactional purposes
- Handle interruptions
- Design and configure exception handling
- Upset data
- Replay archived stream data
- Design a stream processing solution
- Trigger batches
- Handle failed batch loads
- Validate batch loads
- Manage data pipelines in Data Factory/Synapse Pipelines
- Schedule data pipelines in Data Factory/Synapse Pipelines
- Implement version control for pipeline artefacts
- Manage Spark jobs in a pipeline
- Design data encryption for data at rest and in transit
- Design a data auditing strategy
- Design a data masking strategy
- Design for data privacy
- Design a data retention policy
- Design to purge data based on business requirements
- Design Azure role-based access control (Azure RBAC) and POSIX-like Access Control List
- (ACL) for Data Lake Storage Gen2
- Design row-level and column-level security
- Implement data masking
- Encrypt data at rest and in motion
- Implement row-level and column-level security
- Implement Azure RBAC
- Implement POSIX-like ACLs for Data Lake Storage Gen2
- Implement a data retention policy
- Implement a data auditing strategy
- Manage identities, keys, and secrets across different data platform technologies
- Implement secure endpoints (private and public)
- Implement resource tokens in Azure Data bricks
- Load a Data Frame with sensitive information
- Write encrypted data to tables or Parquet files
- Manage sensitive information
- Implement logging used by Azure Monitor
- Configure monitoring services
- Measure performance of data movement
- Monitor and update statistics about data across a system
- Monitor data pipeline performance
- Measure query performance
- Monitor cluster performance
- Understand custom logging options
- Schedule and monitor pipeline tests
- Interpret Azure Monitor metrics and logs
- Interpret a Spark directed acyclic graph (DAG)
- Compact small files
- Rewrite user-defined functions (UDFs)
- Handle skew in data
- Handle data spill
- Tune shuffle partitions
- Find shuffling in a pipeline
- Optimize resource management
- Tune queries by using indexers
- Tune queries by using cache
- Optimize pipelines for analytical or transactional purposes
- Optimize pipeline for descriptive versus analytical workloads
- Troubleshoot a failed spark job
- Troubleshoot a failed pipeline run
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FAQ's
Croma Campus is a bona-fide institution that has been doing remarkably well in imparting training of IT courses, in fact, it has placed loads of candidates as well. Moreover, along with training, it also guarantees placement. So, it will be beneficial for your career to get in touch with us.
Well, it's not a very long course. In fact, it will hardly take 30-40 days to get into its functioning.
This accreditation will enhance your resume, bestow you with a higher salary structure, educate you about cloud features, etc.
Yes, we will try our best to put you in front of the placement procedure, but cracking the interview will be on your merit.

- - Build an Impressive Resume
- - Get Tips from Trainer to Clear Interviews
- - Attend Mock-Up Interviews with Experts
- - Get Interviews & Get Hired
If yes, Register today and get impeccable Learning Solutions!

Data Engineering on Microsoft Azure (DP-203)
The Data Engineering on Microsoft Azure (DP-203) is suitable for Data Engineers to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
Multiple Choice and Multi-Response Questions
Cloud Computing
$165 USD
150 Minutes
40-60 Questions
700 (on a scale of 1-1000)
Training Features
Instructor-led Sessions
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Lifetime Access
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
24 x 7 Expert Support
With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.

Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Showcase your Course Completion Certificate to Recruiters
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Training Certificate is Govern By 12 Global Associations.
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Training Certificate is Powered by “Wipro DICE ID”
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Training Certificate is Powered by "Verifiable Skill Credentials"




