Data Engineering On Microsoft Azure | DP-203 | DP203

Data Engineering On Microsoft Azure | DP-203

In this training, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data.

Prerequisites

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. Specifically completing:
– AZ-900 – Azure Fundamentals
– DP-900 – Microsoft Azure Data Fundamentals

Audience

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Course outcome

– Explore compute and storage options for data engineering workloads in Azure
– Design and Implement the serving layer
– Understand data engineering considerations
– Run interactive queries using serverless SQL pools
– Explore, transform, and load data into the Data Warehouse using Apache Spark
– Perform data Exploration and Transformation in Azure Databricks
– Ingest and load Data into the Data Warehouse

Package Includes

– 12 Months Online Access featuring ondemand instructor-led classroom sessions with full audio and video lectures
– Measure Exam simulation
– Tips & Tricks

Hybrid Learning is a unique mix of training material, videos and exercises that the user can independently apply to his learning demand. You have access to the online training material for up to 12 months. This way you can read and practice the material you have learned several times to optimally prepare for the DP-203 exam.

Optional

Real Live Practice Labs DP-203 Data Engineering On Microsoft Azure – This collection is comprised of over 30 challenges and contains over 20 hours of hands-on practice and supports the Exam and is mapped to the skills measured of the exam.

Course Content

– Storage Accounts
– Designing Data Storage Structures
– Data Partitioning
– Designing the Serving Layer
– Physical Data Storage Structures
– Logical Data Structures
– The Serving Layer
– Data Policies & Standards
– Securing Data Access
– Securing Data
– Data Lake Storage
– Data Flow Transformations
– Data Factory
– Databrick Processing
– Data Storage Monitoring

Exam not included

DP-203 Data Engineering On Microsoft Azure

DutchTrain is an officially accredited Test Center for Pearson Vue Test, Prometric, Kryterion, Castle Worldwide, Certiport & PSI. You are most welcome with us for exams that are available through these Test Centers. Exams can be taken every day, within office hours.

Date

You can start at any time! Please contact one of our training advisers if you would like to start.

Location

Self-study - It is possible to login 24/7 from any location to our Education On Demand Portal.

Learning method

E-Learning

Language

English

More information

Check our website for detailed lesson content, exams and more details of this training.

This training is also available as

- Instructor-led classroom training
– Incompany, please contact one of our training advisers.