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DP-203 Training: Data Engineering on Microsoft Azure

Overview

Full Description

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FAQ's

Overview

DP 203 Course, Training and Certification: Overview

SpireTec is a one-stop solution to all your DP203-related needs. It provides a comprehensive online classroom training to aspiring IT professionals who want to earn Azure DP 203 certification. The DP-203 training is an instructor-led training session to help you design and implement data storage, data processing and data security. The course also focuses on building data storage monitoring and optimization skills. We deliver the best DP-203 classes prepare you for the DP 203 Exam in the best possible manner.

Why should you take DP 203 certification? The certification is an endorsement to your industry-oriented skills that IT recruiters prefer in an Azure Data Engineer. The professionals have to make clients understand the data through exploration, and build and maintain secure and compliant data processing pipelines harnessing Azure tools and techniques.

DP 203 Certification: Breakup of the Exam Topics

If you are applying for a DP203 exam, you will be tested on the following skills:

Implement data storage solutions
Manage and develop data processing
Monitor and optimize data solutions
Design Azure data storage solutions
Design data processing solutions
Design for data security and compliance

SpireTec’s DP-203 training helps you gain expertise in all the sections, making it easier for you to get the DP 203 certification in one go.

Who Should Take DP 203 Certification?

Wondering if you should go for DP-203 training and certification? See if you fall under the following categories:

Azure Data Engineers

These professionals make use of Azure data services and languages to store and produce high-quality relevant datasets for analysis. They develop data solutions working with divergent data sets that meet the requirements of the data science and data analytics teams. They build and design data architectures using Azure Data factory, Databricks, Data lake, and Synapse. They also perform data mapping activities to describe source data, target data and the high-level or detailed transformations that need to occur. The DP 203 training benefits data engineers in a myriad ways.

Data Analysts

DP-203 training is also very helpful for data analysts. Data analysts working in the Azure IT ecosystem are responsible for designing and maintaining data systems and databases; troubleshooting coding errors and issues with data accessibility; mining data from primary and secondary sources, reorganizing said data in a readable format, interpreting data sets, paying particular attention to trends and patterns, and much more. Our DP-203 training focused on the syllabus of DP 203 Exam helps you earn the desired skills and expertise, making it very easy to get that DP 203 certification.

Prerequisites for DP 203 Certification

Candidates for Exam DP 203 must know the ins and outs of data processing languages, such as SQL, Python, or Scala. They should also have sound knowledge of parallel processing and data architecture patterns. A DP 203 training is only fruitful if you fulfil the above conditions.

Full Description

DP-203: Data Engineering on Microsoft Azure

Design and Implement Data Storage (40-45%)

Design a data storage structure

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 data archiving solution

Design a partition 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 the serving layer

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 metastores in Azure Synapse Analytics and Azure Databricks

Implement physical data storage structures

implement compression
implement partitioning
implement sharding
implement different table geometries with Azure Synapse Analytics pools
implement data redundancy
implement distributions
implement data archiving

Implement logical data structures

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

Implement the serving layer

deliver data in a relational star schema
deliver data in Parquet files
maintain metadata
implement a dimensional hierarchy

Design and Develop Data Processing (25-30%)

Ingest and transform data

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 denormalize values
transform data by using Scala
perform data exploratory analysis

Design and develop a batch processing solution

develop batch processing solutions by using Data Factory, Data Lake, Spark, Azure Synapse Pipelines, PolyBase, and Azure Databricks

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/IPython notebooks into a data pipeline
handle duplicate data
handle missing data
handle late-arriving data
upsert 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

Design and develop a stream processing solution

develop a stream processing solution by using Stream Analytics, Azure Databricks, 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
upsert data
replay archived stream data
design a stream processing solution

Manage batches and pipelines

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 artifacts
manage Spark jobs in a pipeline

Design and Implement Data Security (10-15%)

Design security for data policies and standards

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 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 Databricks
load a DataFrame with sensitive information
write encrypted data to tables or Parquet files
manage sensitive information

Monitor and Optimize Data Storage and Data Processing (10-15%)

Monitor data storage and data processing

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)

Optimize and troubleshoot data storage and data processing

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

Fees & Schedule

Delivery Mode	Course Duration	Fees
Live Virtual Training	4 Days	Ask for Quote
Onsite Classroom Training	4 Days	Ask for Quote
Customized Training	4 Days	Ask for Quote

FAQ's

I. Who we are?

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Our Clients Testimonial

The method of instructing and the way to explain is excellent and easy to remember. I think he is very good instructor and he is very flexible to take any questions..

Chevron
Instructor was very knowledgeable and very well spoken. For me, the best part of this training course was having a knowledgeable instructor who could answer any of my questions.

US Army
Thank you so much for your time and especially your expertise with us. We really appreciate this discussion session.We gained a lot of technical knowledge today.

SWHealth
Thanks Abhishek for all your help and guidence on this training. Excellent Work is done. I checked with team and they are extremly pleased.

Swhealth
Mr. Abhishek Kumar displayed thorough knowledge of material. His enthusiasm and energy shined throughout the course.
Instructor was able to help me resolve an issue i was having as a real work problem in sharepoint.
The instructor was good especially because he has hands on experience on SharePoint.
Excellent training with proper support.
Instructor was very knowledgeable. Followed course outline in a clear manner and interjected non-course contained material at points in order to clarify.
Instructor was very knowledgeable about the information which was very helpful when it came to answering questions.
Instructor was excellent. He explained the concepts before showing how to do things which was so helpful. Can't say enough good about him.
Abhishek did a great job. Excellent Instructor for BI.
The classroom environment was fine. I did the class from my home. And, the connection speed was outstanding.Very good instructor.
I have completed the course 20778 Analyzing data with Power BI. The instructor Mr. Abhishek Kumar delivered interactive sessions which were impressively informative. He went through the content in detail which showcased that he has a thorough knowledge of the subject matter.
Learned a lot of things and more than I excepted to learn. Was a very nice experience to learn from Abhishek.

Banque des Mascareignes
Excellent and Very Knowledgeable. Highly Recommedded Mr Abhishek for Office 365 Training.

Banque des Mascareignes
The instructor was very welcoming and spent the me so that we could get to know each other. I could tell that the instructor was very knowledgeable on the subject and connuously kept me involved in the conversation.
Abhishek was a great instructor. Very knowledgeable, and very nice.
Mr. Abhishek was friendly and knows his subject. He helped in sharing every documents, we will need for further studies and exam for Power BI.

State Informatics Limited
The trainig was good and well organized. Very motivated and patience in understanding our questions.

State Informatics Limited
He set up a collaborative medium between instructor and students. You can ask questions and he will give you a presenter view where you can share what you have learnt. Instructor Abhishek Kumar is a terrific subject expert. I recommend it to everyone as well. A job well done!

Overview

Full Description

Design and Implement Data Storage (40-45%)

Design a data storage structure

Design a partition strategy

Design the serving layer

Implement physical data storage structures

Implement logical data structures

Implement the serving layer

Design and Develop Data Processing (25-30%)

Ingest and transform data

Design and develop a batch processing solution

Design and develop a stream processing solution

Manage batches and pipelines

Design and Implement Data Security (10-15%)

Design security for data policies and standards

Implement data security

Monitor and Optimize Data Storage and Data Processing (10-15%)

Monitor data storage and data processing

Optimize and troubleshoot data storage and data processing

Fees & Schedule

FAQ's

The method of instructing and the way to explain is excellent and easy to remember. I think he is very good instructor and he is very flexible to take any questions..

Chevron

Instructor was very knowledgeable and very well spoken. For me, the best part of this training course was having a knowledgeable instructor who could answer any of my questions.

US Army

Thank you so much for your time and especially your expertise with us. We really appreciate this discussion session.We gained a lot of technical knowledge today.

SWHealth

Thanks Abhishek for all your help and guidence on this training. Excellent Work is done. I checked with team and they are extremly pleased.

Swhealth

Mr. Abhishek Kumar displayed thorough knowledge of material. His enthusiasm and energy shined throughout the course.

Instructor was able to help me resolve an issue i was having as a real work problem in sharepoint.

The instructor was good especially because he has hands on experience on SharePoint.

Excellent training with proper support.

Instructor was very knowledgeable. Followed course outline in a clear manner and interjected non-course contained material at points in order to clarify.

Instructor was very knowledgeable about the information which was very helpful when it came to answering questions.

Instructor was excellent. He explained the concepts before showing how to do things which was so helpful. Can't say enough good about him.

Abhishek did a great job. Excellent Instructor for BI.

The classroom environment was fine. I did the class from my home. And, the connection speed was outstanding.Very good instructor.

I have completed the course 20778 Analyzing data with Power BI. The instructor Mr. Abhishek Kumar delivered interactive sessions which were impressively informative. He went through the content in detail which showcased that he has a thorough knowledge of the subject matter.

Learned a lot of things and more than I excepted to learn. Was a very nice experience to learn from Abhishek.

Banque des Mascareignes

Excellent and Very Knowledgeable. Highly Recommedded Mr Abhishek for Office 365 Training.

Banque des Mascareignes

The instructor was very welcoming and spent the me so that we could get to know each other. I could tell that the instructor was very knowledgeable on the subject and connuously kept me involved in the conversation.

Abhishek was a great instructor. Very knowledgeable, and very nice.

Mr. Abhishek was friendly and knows his subject. He helped in sharing every documents, we will need for further studies and exam for Power BI.

State Informatics Limited

The trainig was good and well organized. Very motivated and patience in understanding our questions.

State Informatics Limited

He set up a collaborative medium between instructor and students. You can ask questions and he will give you a presenter view where you can share what you have learnt. Instructor Abhishek Kumar is a terrific subject expert. I recommend it to everyone as well. A job well done!