DP-203: Data Engineering on Microsoft Azure

SKU: DP- 203
What do you get
This package includes:
Hands-on Labs
Practice Tests
How to purchase
DP-203: Data Engineering on Microsoft Azure
Hands-on Labs

DP-203: Data Engineering on Microsoft Azure

This lab provides you understanding of data engineering using Azure data platform technologies. It covers compute and storage technologies, interactive data analysis in a data lake, data ingestion techniques with Azure Synapse Analytics or Azure Databricks, and data transformation methods. Participants will also learn about implementing robust security measures for data at rest and in transit.
Advanced
Lab Description

In the DP-203 Hands-on Lab, participants will gain a comprehensive understanding of data engineering in the context of Azure data platform technologies. The Hands-on Lab begins by exploring the fundamental compute and storage technologies used in building analytical solutions. Students will learn to interactively analyze data stored in files within a data lake. The Hands-on Lab covers various techniques for data ingestion, including leveraging Apache Spark capabilities in Azure Synapse Analytics or Azure Databricks, as well as utilizing Azure Data Factory or Azure Synapse pipelines for ingestion purposes. Participants will also delve into data transformation methods using these technologies, understanding how to effectively manipulate and shape data. Ensuring data security is a crucial aspect of the Hands-on Lab. Students will learn the significance of implementing robust security measures to safeguard data both at rest and in transit.

Pre-requisite

The DP-203 Hands-on Lab requires intermediate-level knowledge of programming concepts, such as C# or Java, and experience with Microsoft Visual Studio or another IDE. Additionally, learners should have experience using Azure tools and services such as Azure Storage, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.

Learning objective

After completing the DP-203 Hands-on Lab, learners will have the skills and knowledge to design and implement data solutions on Azure. They will understand how to use Azure tools and services to build efficient and scalable data pipelines and to perform data transformation, processing, and analysis.

Lab Exercises
Explore Azure Synapse Analytics
Query files using a serverless SQL pool
Transform files using a serverless SQL pool
Analyze data in a lake database
Analyze data in a data lake with Spark
Transform data using Spark in Synapse Analytics
Use Delta Lake with Spark in Azure Synapse Analytics
Explore a relational data warehouse
Load Data into a Relational Data Warehouse
Build a data pipeline in Azure Synapse Analytics
Using Apache Spark Notebook in pipeline
Using Azure Synapse Link for Azure Cosmos DB
Use Azure Synapse Link for SQL
Get started with Azure Stream Analytics
Ingest Realtime data with Azure Stream Analytics and Azure Synapse Analytics
Create a Realtime report with Azure Stream Analytics and Microsoft Power BI
Use Microsoft Purview with Azure Synapse Analytics
Explore Azure Databricks
Use Spark in Azure Databricks
Use Delta Lake in Azure Databricks
Use a SQL Warehouse in Azure Databricks
Automate Azure Databricks Notebook with Azure Data Factory
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FAQ's

A hands-on lab is a virtual environment where you can actively engage in practical exercises and simulations related to a specific subject or technology. It allows you to gain real-world experience and develop practical skills.

Upon enrolment, student will receive voucher code  and access instructions to launch the lab environment.

No, generally, MOC Hands-On Labs are designed to be completed in one continuous session. Once you start a lab, it's recommended to allocate enough time to finish it in one go.

Only a system with internet access and a compatible web browser.

Yes, CloudLabs Hands-on labs often come with built-in tracking and reporting features. These features allow you to monitor trainee progress, track completion rates, and generate reports on lab performance. This enables you to assess individual or group achievements and measure the effectiveness of your training initiatives.

CloudLabs have the SLA of 15 days to update the Labs.

Learners are typically allowed to access the lab once.

We have CloudLabs Shadow which is an embedded feature integrated into the CloudLabs platform that lets Instructors shadow the learners environment.

Cloud Labs support team is available 24/7 for 365 days over email and live chat.

  1. Email Support: labs-support@spektrasystems.com 
  2. Live Chat Support: https://cloudlabs.ai/labs-support  
DP-203 includes
DP-203: Data Engineering on Microsoft Azure
Azure
04 Days
22 Exercises
Intended Audience

Data Engineer

Big Data Engineer

Azure Data Developer

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