Microsoft Azure Data Engineering Associate (DP-203) Training

About Course

Microsoft Azure Data Engineering Associate (DP-203) certification validates skills in designing and implementing data solutions on Azure. Targeting data engineers, developers, and IT professionals, it covers areas such as data storage, data processing, and data security on the Azure platform. Candidates should have experience with Azure data services, including Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks. The certification exam assesses knowledge of data engineering principles, data transformation, data integration, and implementing batch and real-time processing solutions. DP-203 certification demonstrates proficiency in leveraging Azure technologies for building scalable and efficient data solutions, enhancing career prospects in cloud data engineering.

Course Content

Module 1: Microsoft Azure for Data Engineering

You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.
Choose Microsoft Azure data technologies that meet different business needs and scale to meet demands securely
Describe common data engineering practices
Explain the differences between on-premises and cloud data solutions
Quiz Module 1
Assignment Module 1- Introduction to Microsoft Azure and its Services

Module 2: Data Storage in Microsoft Azure

Module 3: Data Integration with Microsoft Azure Data Factory

Module 4: Introduction to Microsoft Azure Synapse Analytics

Module 5: Data Warehousing with Microsoft Azure Synapse Analytics

Module 6: Data Engineering with MS Azure Synapse Apache Spark Pools

Module 7: Operational Analytics with Microsoft Azure Synapse Analytics

Module 8: Microsoft Azure Databricks for Data Engineering

Module 9: Azure Data Lake Storage Gen2 and Data Streaming Solution

Module 10: Prepare for DP-203: Data Engineering on Microsoft Azure Exam

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

About Course

What Will You Learn?

Course Content

Module 1: Microsoft Azure for Data Engineering

You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.

Choose Microsoft Azure data technologies that meet different business needs and scale to meet demands securely

Describe common data engineering practices

Explain the differences between on-premises and cloud data solutions

Quiz Module 1

Assignment Module 1- Introduction to Microsoft Azure and its Services

Module 2: Data Storage in Microsoft Azure

You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.

Design and implement data storage and data security

Design and develop data processing

Monitor and optimize data storage and data processing

Quiz Module 2

Assignment Module 2- Introduction To Azure Data Engineering

Module 3: Data Integration with Microsoft Azure Data Factory

How to create and manage data pipelines in the cloud

How to integrate data at scale with Azure Synapse Pipeline and Azure Data Factory

Quiz Module 3

Assignment Module 3- Storing Data in Azure

Module 4: Introduction to Microsoft Azure Synapse Analytics

How to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns

How to describe the features and components of Azure Synapse Analytics

How to use Azure Synapse Analytics to build your analytical solutions in one place

How to use Azure Synapse Studio application to interact with the various components of Azure Synapse Analytics

Quiz Module 4

Assignment Module 4- Azure Data Factory – I

Module 5: Data Warehousing with Microsoft Azure Synapse Analytics

How to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns

How to design a Modern Data Warehouse using Azure Synapse Analytics

How to manage, optimize, and secure a data warehouse

How to design a multidimensional schema to optimize analytical workloads

Quiz Module 5

Assignment Module 5- Azure Data Factory – II

Module 6: Data Engineering with MS Azure Synapse Apache Spark Pools

How to perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications

How to ingest data using Apache Spark Notebooks in Azure Synapse Analytics

How to transform data using DataFrames in Apache Spark Pools in Azure Synapse Analytics

How to monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics

Module 7: Operational Analytics with Microsoft Azure Synapse Analytics

How to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics

How to query Azure Cosmos DB with SQL Serverless/Apache Spark for Azure Synapse Analytics

How to configure and enable Azure Synapse Link to interact with Azure Cosmos DB

How to use hybrid transactional and analytical processing to perform operational analytics with Azure Synapse Analytics

Module 8: Microsoft Azure Databricks for Data Engineering

How to work with large amounts of data from multiple sources in different raw formats

How to create production workloads on Azure Databricks with Azure Data Factory

How to build and query a Delta Lake

How to perform data transformations in DataFrame. How to understand the architecture of an Azure Databricks Spark Cluster and Spark Jobs

Module 9: Azure Data Lake Storage Gen2 and Data Streaming Solution

How to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient.

How to set up a stream analytics job to stream data and manage a running job

How to describe the concepts of event processing and streaming data and how this applies to Azure Stream Analytics

How to use Advanced Threat Protection to proactively monitor your system and describe the various ways to upload data to Data Lake Storage Gen 2

Module 10: Prepare for DP-203: Data Engineering on Microsoft Azure Exam

How to refresh and test your knowledge of the skills mapped to all the main topics covered in the DP-203 exam.

How to demonstrate proficiency in the skills measured in Exam DP-203: Data Engineering on Microsoft Azure

How to outline the key points covered in the Microsoft Data Engineer Associate Specialization

How to describe best practices for preparing for the Exam DP-203: Data Engineering on Microsoft Azure

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