DP-203: Data Engineering on Microsoft Azure Certification Training in Singapore
DP-203: Data Engineering on Microsoft Azure Certification Training in Singapore Offered by myTectra is the most powerful DP-203: Data Engineering on Microsoft Azure Certification Training ever offered with Top Quality Trainers, Best Price, Certification, and 24/7 Customer Care.
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Course Features
Expert Instructors
Real-Time Projects
Verified Certificate
100% Placement
An Award Winning Company
About Program
Course Description
Today, everything depends on thorough data analysis to understand the customer pain points and also to identify new opportunities to gain market share. In such a challenging business landscape, it is critical for individuals and enterprises to know how to integrate, transform, and consolidate data across platforms. This Data Engineering on Microsoft to Azure certification (DP-203) is one such certification that helps professionals to build some of the best analytics solutions using Microsoft Azure as a platform. Check out the dates below to enroll for the DP-203 certification training course.
Key Features:
- Instructor-led Data Engineering on Microsoft Azure Certification Training
- Get access to a DP-203 course preview to begin your preparation
- Expert Microsoft instructors across the globe with real-world expertise
- Accredited DP-203 course material prepared by SMEs
- Data Engineering on Microsoft Training resources provided to learners from Microsoft and Koenig Solutions
- DP-203 course completion certificate provided after the training
- Learners can take up DP-203 training in 4 different learning modes
- Data Engineering on Microsoft Azure training provided across 100+ locations globally
Target Audience:
- Data professionals seeking to enhance their Azure skills
- Aspiring data engineers and analysts
- IT professionals transitioning to data engineering roles
- Individuals aiming for Microsoft Azure certification
- Developers interested in data solutions and architecture
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Course Details
Explore compute and storage options for data engineering workloads
- Introduction to Azure Synapse Analytics
- Describe Azure Databricks
- Introduction to Azure Data Lake storage
- Describe Delta Lake architecture
- Work with data streams by using Azure Stream Analytics
- Explore compute and storage options for data engineering workloads
Design and implement the serving layer
- Design a multidimensional schema to optimize analytical workloads
- Code-free transformation at scale with Azure Data Factory
- Populate slowly changing dimensions in Azure Synapse Analytics pipelines
- Designing and Implementing the Serving Layer
Data engineering considerations for source files
- Design a Modern Data Warehouse using Azure Synapse Analytics
- Secure a data warehouse in Azure Synapse Analytics
Run interactive queries using Azure Synapse Analytics serverless SQL pools
- Explore Azure Synapse serverless SQL pools capabilities
- Query data in the lake using Azure Synapse serverless SQL pools
- Secure data and manage users in Azure Synapse serverless SQL pools
Explore, transform, and load data into the Data Warehouse using Apache Spark
- Understand big data engineering with Apache Spark in Azure Synapse Analytics
- Ingest data with Apache Spark notebooks in Azure Synapse Analytics
- Transform data with Data Frames in Apache Spark Pools in Azure Synapse Analytics
- Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Data exploration and transformation in Azure Data bricks
- Describe Azure Data bricks
- Read and write data in Azure Data bricks
- Work with Data Frames in Azure Data bricks
- Work with Data Frames advanced methods in Azure Data bricks
Ingest and load data into the data warehouse
- Use data loading best practices in Azure Synapse Analytics
- Petabyte-scale ingestion with Azure Data Factory
Transform data with Azure Data Factory or Azure Synapse Pipelines
- Data integration with Azure Data Factory or Azure Synapse Pipelines
- Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
Orchestrate data movement and transformation in Azure Synapse Pipelines
- Orchestrate data movement and transformation in Azure Data Factory
Optimize query performance with dedicated SQL pools in Azure Synapse
- Optimize data warehouse query performance in Azure Synapse Analytics
- Understand data warehouse developer features of Azure Synapse Analytics
Analyze and Optimize Data Warehouse Storage
- Analyze and optimize data warehouse storage in Azure Synapse Analytics
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
- 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 pools
- Query Azure Cosmos DB with server less SQL pools
End-to-end security with Azure Synapse Analytics
- Secure a data warehouse in Azure Synapse Analytics
- Configure and manage secrets in Azure Key Vault
- Implement compliance controls for sensitive data
Real-time Stream Processing with Stream Analytics
- Enable reliable messaging for Big Data applications using Azure Event Hubs
- Work with data streams by using Azure Stream Analytics
- Ingest data streams with Azure Stream Analytics
Create a Stream Processing Solution with Event Hubs and Azure Databricks
- Process streaming data with Azure Databricks structured streaming
Build reports using Power BI integration with Azure Synapase Analytics
- Create reports with Power BI using its integration with Azure Synapse Analytics
Perform Integrated Machine Learning Processes in Azure Synapse Analytics
- Use the integrated machine learning process in Azure Synapse Analytics
Prerequisites:
- Familiarity with relational and non-relational databases
- Proficiency in SQL, Python, or Scala
- Basic knowledge of Microsoft Azure and its services
- Experience with ETL operations and data integration
- Understanding of data storage solutions like data lakes and data warehouses
Learning Objectives:
- Understand Azure data services and their applications
- Design and implement data storage solutions
- Develop and optimize data processing pipelines
- Manage and secure data using Azure
- Integrate, transform, and consolidate data from various sources
- Implement data security and compliance measures
- Monitor and troubleshoot data solutions
- Utilize Azure Synapse Analytics for data analytics
- Automate data workflows and processes
- Prepare for the DP-203 certification exam
Who can take up Data Engineering on Microsoft Azure Certification Training?
Job roles that can find Data Engineering on Microsoft Azure training include:
- Data Professionals
- Data Architects
- Business Intelligence Professionals
- Data Engineers
- Business Analysts
- Data Analysts
- Data Scientists
- Aspiring Data Engineers who are looking to build analytical solutions on the Microsoft Azure platform
- Professionals who are looking to clear their DP-203 certification exam
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FAQ's
What is DP-203: Data Engineering on Microsoft Azure Certification and why is it important?
DP-203: Data Engineering on Microsoft Azure Certification validates expertise in designing and implementing data solutions using Azure services. It is important because it demonstrates proficiency in managing data workflows, enhancing employability in the competitive tech industry. This certification ensures adherence to best practices in data engineering and cloud technologies.
What are the benefits of taking DP-203: Data Engineering on Microsoft Azure Certification training online?
Taking DP-203 certification training online offers flexibility to learn at your own pace and access resources from anywhere. It also provides interactive and up-to-date content aligned with the latest Azure technologies.
Will I get placement assistance?
myTectra is providing 100% placement assistance on our key courses. We help you with the career counselling, Exams on Key courses, Mock Interviews and Technical Interviews Tips. Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job. Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25, 000 to all myTectra students which will help you to attend the interviews with more confidence.
Can I attend a demo session before enrollment?
Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form below to schedule a free demo.
What if I miss a class?
You will never miss a lecture at myTectra. You can choose either of the two options:
Classroom Training:
- If you miss one or few classes we can give a backup class based on trainer and your convenient time.
- In case if you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many courses topics you have completed so far.
Live-Online Training:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
What are the payment options?
- Visa Debit/Credit Card
- American Express and Diners Club Card
- Master Card
- PayPal
- Net Banking/Wire Transfer
- UPI Payment such as Google Pay, PhonePe, Paytm
- Cash/Cheque/DD ( Not for Online Training )
Where do the classes take place?
Classroom Training - Bangalore
Live-Online Training - Globally
For Corporates:
Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!
Online Training - Globally
* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.
Who are the Trainers?
Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.
What if I have more queries?
Just give us a CALL at +918047112411 OR email at support@mytectra.com
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