Results

• 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
• Transform Data with Azure Data Factory or Azure Synapse Pipelines
• Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
• Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
• Analyze and Optimize Data Warehouse Storage
• Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
• Perform end-to-end security with Azure Synapse Analytics
• Perform real-time Stream Processing with Stream Analytics
• Create a Stream Processing Solution with Event Hubs and Azure Databricks
• Build reports using Power BI integration with Azure Synpase Analytics
• Perform Integrated Machine Learning Processes in Azure Synapse Analytics

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.

Practical Approach

This training is set up in a way to ensure you can put everything you learn directly into practice. The highly experienced and certified trainer from Computrain will cover the theory and show you practical demonstrations. The hands-on lab exercises help you in optimally processing the subject matter. The ratio between theory and practice is approximately 50-50.

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

Courseware

This training uses the official, digital, Microsoft Official Courseware (MOC) in English. You also get access to our modern online learning environment, e-Connect. This environment contains all information needed for the training as well as some additional information. With e-connect, you can easily communicate with the other participants.

Klassikaal

Je volgt de bijeenkomsten uit dit programma klassikaal op een locatie naar keuze. Omdat je binnen een groep veel van elkaar leert, bieden we je een alternatieve locatie aan wanneer er voor jouw voorkeurslocatie onvoldoende aanmeldingen zijn. Onze leslocaties zijn gevestigd door heel Nederland. Voor meer informatie over onze opleidingsvarianten, zie de pagina Opleidingsvarianten op onze website.

Program

• Design a data storage structure
• Design a partition strategy
• Design the serving layer
• Implement physical data storage structures
• Implement logical data structures
• Implement the serving layer
• Ingest and transform data
• Design and develop a batch processing solution
• Design and develop a stream processing solution
• Manage batches and pipelines
• Design security for data policies and standards
• Implement data security
• Monitor data storage and data processing
• Optimize and troubleshoot data storage and data processing

Exam

This training prepares you for the exam Data Engineering on Microsoft Azure. The exam is included in the costs of the program. You can register for the exam at !!GEEN VERWIJZING!! at a date, time and location of your choice. Passing this exam will give you the certification Azure Data Engineer Associate certification.