DP-203 : Data Engineering on Microsoft Azure Training

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PR Tech Skills is offering project-driven training on DP-203 : Data Engineering on Microsoft Azure. Ideal for Data architects, Data analysts who are responsible for building Microsoft Azure, Data scientists who work with analytical solutions, and Business intelligence professionals who want to learn data engineering, the offered course tells how to run interactive queries using serverless SQL pools and how to describe big data engineering with Apache Spark in Azure Synapse Analytics. You will get to know the methodologies of creating real-time analytical systems and the technologies that are used to ingest data.

Our offered course demands in-depth knowledge of cloud computing, core data concepts, and experience with data solutions. Multisoft insists you pursue this course after you have earned the AZ-900 - Azure Fundamentals and DP-900 - Microsoft Azure Data Fundamentals courses.

DP-203 Data Engineering on Microsoft Azure Course Objectives:

How to run interactive queries using serverless SQL pools?
How to transform data with Azure Data Factory or Azure Synapse Pipelines?
How to perform real-time Stream Processing with Stream Analytics?
How to integrate Data from Notebooks with Azure Synapse Pipelines or Azure Data Factory?
How to describe big data engineering with Apache Spark in Azure Synapse Analytics?
How to transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics?
How to perform data Exploration and Transformation in Azure Databricks?
How to create metadata objects in Azure Synapse serverless SQL pools
How to secure data and manage users in Azure Synapse serverless SQL pools?
How to work with DataFrames advanced methods in Azure Databricks?
How to perform end-to-end security with Azure Synapse Analytics?
How to ingest and load Data into the Data Warehouse?

DP-203 Data Engineering on Microsoft Azure Online Training

32 Hrs. Instructor-led Online Training
Recorded Videos After Training
Digital Learning Material
Course Completion Certificate
Lifetime e-Learning Access
24x7 After Training Support

Target audience

Data architects
Data professionals
Business intelligence professionals who want to learn data engineering
Data analysts who are responsible for building Microsoft Azure
Data scientists who work with analytical solutions

DP-203 Data Engineering on Microsoft Azure Course Prerequisites

You need to have in-depth knowledge of cloud computing to pursue this DP-203: Data Engineering on Microsoft Azure Online Training. Knowing core data concepts and having professional experience with data solutions are necessary for earning this course.
AZ-900 - Azure Fundamentals
DP-900 - Microsoft Azure Data Fundamentals

DP-203 Data Engineering on Microsoft Azure Course Certification

PR Tech Skills will provide you with a training completion certificate after completing the DP-203: Data Engineering on Microsoft Azure Training.

DP-203 Data Engineering on Microsoft Azure Course Objectives:

How to run interactive queries using serverless SQL pools?
How to transform data with Azure Data Factory or Azure Synapse Pipelines?
How to perform real-time Stream Processing with Stream Analytics?
How to integrate Data from Notebooks with Azure Synapse Pipelines or Azure Data Factory?
How to describe big data engineering with Apache Spark in Azure Synapse Analytics?
How to transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics?
How to perform data Exploration and Transformation in Azure Databricks?
How to create metadata objects in Azure Synapse serverless SQL pools
How to secure data and manage users in Azure Synapse serverless SQL pools?
How to work with DataFrames advanced methods in Azure Databricks?
How to perform end-to-end security with Azure Synapse Analytics?
How to ingest and load Data into the Data Warehouse?

DP-203 Data Engineering on Microsoft Azure Online Training

32 Hrs. Instructor-led Online Training
Recorded Videos After Training
Digital Learning Material
Course Completion Certificate
Lifetime e-Learning Access
24x7 After Training Support

Target audience

Data architects
Data professionals
Business intelligence professionals who want to learn data engineering
Data analysts who are responsible for building Microsoft Azure
Data scientists who work with analytical solutions

DP-203 Data Engineering on Microsoft Azure Course Prerequisites

You need to have in-depth knowledge of cloud computing to pursue this DP-203: Data Engineering on Microsoft Azure Online Training. Knowing core data concepts and having professional experience with data solutions are necessary for earning this course.
AZ-900 - Azure Fundamentals
DP-900 - Microsoft Azure Data Fundamentals

DP-203 Data Engineering on Microsoft Azure Course Certification

PR Tech Skills will provide you with a training completion certificate after completing the DP-203: Data Engineering on Microsoft Azure Training.

DP-203 : Data Engineering on Microsoft Azure Training Course Content

Module 1: 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

Module 2: 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
Create metadata objects in Azure Synapse serverless SQL pools
Secure data and manage users in Azure Synapse serverless SQL pools

Module 3: Data exploration and transformation in Azure Databricks

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

Module 4: 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 DataFrames in Apache Spark Pools in Azure Synapse Analytics
Integrate SQL and Apache Spark pools in Azure Synapse Analytics

Module 5: Ingest and load data into the data warehouse

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

Module 6: 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

Module 7: Orchestrate data movement and transformation in Azure Synapse Pipelines

Orchestrate data movement and transformation in Azure Data Factory

Module 8: 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

Module 9: 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 serverless SQL pools

Module 10: 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

Module 11: Create a Stream Processing Solution with Event Hubs and Azure Databricks

Process streaming data with Azure Databricks structured streaming

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