Description
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 een unieke mix van trainingsmateriaal, video’s en oefeningen die de gebruiker zelfstandig kan toepassen op zijn leervraag. U heeft tot 12 maanden lang toegang tot het online trainingsmateriaal. Zo kunt u de geleerde stof meerdere malen doorlezen en oefenen om u optimaal voor te bereiden voor het examen DP-203.
Optioneel:
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.
Inhoud:
– 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
Exclusief examen:
DP-203 Data Engineering On Microsoft Azure* – Beschikbaar tot 31 maart 2025
DutchTrain is een officieel geaccrediteerd Test Center voor Pearson Vue Test, Prometric, Kryterion, Castle Worldwide, Certiport & PSI. U bent bij ons van harte welkom voor examens welke via deze Test Centers beschikbaar zijn. Examens kunnen elke dag, binnen kantooruren, worden afgenomen.
Datum:
U kunt ten alle tijden beginnen! Neem hiervoor contact op met een van onze opleidingsadviseurs.
Locaties: Zelfstudie
Leermethodiek: E-Learning
Duur training: 25+ uur
Taal: Engels
Deze training is ook beschikbaar als:
– Klassikaal
– Maatwerktraining, neem hiervoor contact op met een van onze opleidingsadviseurs.
Voor veelgestelde vragen tijdens het bestelproces, bekijk onze F.A.Q. pagina.
