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Overview of Course

The DP-203T00: Data Engineering on Microsoft Azure course offered by Skillzcafe provides a comprehensive understanding of Azure data engineering concepts and skills to design, implement, and manage data processing systems.

 

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Course Highlights

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Learn from expert instructors with real-world industry experience.

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Hands-on exercises to gain practical experience.

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Interactive sessions and discussions.




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Skills You’ll Learn

#1

Design and implement data processing systems on Azure.

#2

Work with Azure data services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.

#3

Build and maintain data pipelines and data processing workflows.

#4

Understand key data engineering concepts such as ETL, data warehousing, and streaming data processing.

Training Options

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1-on-1 Training

USD 950 / INR 80000

  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request

  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

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Skillzcafe's training program has been an exceptional learning experience for me. The course content was comprehensive and taught by industry experts, enabling me to acquire practical skills that are highly relevant. I strongly recommend Skillzcafe to anyone looking to upskill or kickstart their career.

Marshall Kumar
Director - Customer Experience at Wipro
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The training was a game-changer for me! The course material was comprehensive, the instructors were knowledgeable and supportive, and the hands-on approach helped me gain practical experience. I am confident and ready to tackle any challenge. Thank you, Skillzcafe!

Savilisa Vaz
Talent Fulfillment Specialist at Accenture
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I was thoroughly impressed with Skillzcafe's training program. The curriculum was comprehensive and up-to-date, and the instructors were knowledgeable and helpful. The hands-on approach helped me develop practical skills to apply in my future career. Overall, a fantastic learning experience!

Sarvagya Alung
Sr. Consultant at Infosys
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I had a great experience with Skillzcafe's training program. The online platform was user-friendly, and the instructors were knowledgeable and professional. I gained valuable skills that helped me in my current job. Highly recommend Skillzcafe to anyone looking for quality training.

Erica Montaque
Director of Learning and Development at Walmart
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It was an excellent investment in my career. The course materials were comprehensive, and the trainers were knowledgeable and approachable. The interactive online platform made it easy to learn from anywhere. I highly recommend Skillzcafe to anyone looking to upskill in their career.

Saujanya Khatri
Business Analyst at Amazon
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The training program was very informative and engaging. The instructors were knowledgeable and helpful, and the online platform was easy to navigate. The course content was relevant and up-to-date.

Amro A.
Lead Financial Analyst at AT&T
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The platform was easy to use, and the trainers were knowledgeable and supportive. I learned practical skills that have helped me in my job, and the flexibility of the online training allowed me to balance work and studies.

Rashed Alkhaldi
Information Technology Specialist at Saudi Aramco PMT
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I appreciate the flexibility to learn at my own pace, and the course content was relevant and practical. I highly recommend Skillzcafe's online training program.

Charles Stanhope
Sr. Content Strategist at CVS Health
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The flexibility of online learning and the expertise of the instructors made for a great experience. The course content was engaging and applicable, and I gained valuable skills.

Neil Silvio Lawrence
CX Specialist | Service Operations Excellence | CX Amplification Projects | Team Leadership Coach and Mentor at Tesco
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Curriculum

  • Understand Azure Synapse Analytics
  • Describe Azure Databricks
  • Describe Azure Databricks Delta Lake architecture
  • Understand Azure Data Lake storage
  • Work with data streams using Azure Stream Analytics

  • Explore Azure Synapse serverless SQL pools capabilities
  • Query data using Azure Synapse serverless SQL pools
  • Create metadata objects in Azure Synapse serverless SQL pools
  • Secure data and manage users in Azure Synapse serverless SQL pools

  • Describe Azure Databricks
  • Read and write data in Azure Databricks
  • Work with DataFrames in Azure Databricks
  • Work with DataFrames advanced methods in Azure Databricks

  • Understand big data engineering with Apache Spark pools in Azure Synapse Analytics
  • Ingest data with Apache Spark notebooks in Azure Synapse Analytics
  • Integrate SQL and Apache Spark pools in Azure Synapse Analytics
  • Transform data with DataFrames in Apache Spark pools in Azure Synapse Analytics
  • Monitor and manage data engineering workloads with Apache Spark pools in Azure Synapse Analytics

  • Use data loading best practices in Azure Synapse Analytics
  • Perform Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipelines

  • Perform Data integration with Azure Data Factory or Azure Synapse Pipelines
  • Perform Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines

  • Add an activity to the control flow to orchestrate data from other technologies
  • Use parameters in Azure Data Factory/Synapse pipelines

  • Secure a data warehouse
  • Configure and manage secrets in Azure Key Vault
  • Implement compliance controls for sensitive data

  • Design hybrid transactional and analytical processing using Azure Synapse Analytics
  • Configure Azure Synapse Link with Azure Cosmos DB
  • Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
  • Query Azure Cosmos DB with SQL Serverless for Azure Synapse Analytics

  • Work with data streams using Azure Stream Analytics
  • Enable reliable messaging for Big Data applications using Azure Event Hubs
  • Ingest data streams with Azure Stream Analytics

 

  • Learn the key features and uses of Structured Streaming
  • Stream data from a file and write it out to a distributed file system
  • Use sliding windows to aggregate over chunks of data rather than all data
  • Apply watermarking to throw away stale old data that you do not have space to keep
    Connect to Event Hubs read and write streams
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Description

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Target Audience:

  • This course is ideal for data engineers, data architects, and data scientists who want to gain expertise in designing and implementing data processing systems on the Azure platform.
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Prerequisite:

  • Basic knowledge of SQL and data processing concepts.
  • Familiarity with Azure services and concepts is recommended but not mandatory.
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Benefits of the course:

  • Gain in-demand skills required for data engineering roles.
  • Learn from expert instructors with real-world industry experience.
  • Hands-on experience with Azure data services.
  • Get a globally recognized certification after passing the exam.
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Exam details to pass the course:

  • The DP-203T00: Data Engineering on Microsoft Azure course exam consists of multiple-choice questions and is conducted online.
  • The exam fee is not included in the course fee.
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Certification path:

  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Database Administrator Associate
  • Microsoft Certified: Azure Solutions Architect Expert
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Career options after doing the course:

  • Data Engineer
  • Data Architect
  • Data Analyst
  • Database Administrator

Why should you take this course from Skillzcafe:

Skillzcafe

Why should you take this course from Skillzcafe:

  • Bullet Icon Learn from expert instructors with real-world industry experience.
  • Bullet Icon Hands-on experience with Azure data services.
  • Bullet Icon Interactive sessions and discussions with peers.
  • Bullet Icon Get a globally recognized certification after passing the exam.
  • Bullet Icon Flexible learning options with online and classroom training.

FAQs

The DP-203T00: Data Engineering on Microsoft Azure course is a 4-day course.

Please contact Skillzcafe for course fee details.

Yes, Skillzcafe offers online training options for this course.

No, the exam fee is not included in the course fee.

The passing score for the DP-203T00: Data Engineering on Microsoft Azure exam is 700 out of 1000.

The Microsoft Certified: Azure Data Engineer Associate certification is valid for two years from the date of certification.

Yes, you can retake the exam after a certain period of time if you fail to pass on the first attempt.

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