Data Engineering on Microsoft Azure (DP-203) (English)

Deze cursus hebben we niet meer in ons assortiment maar nog wel andere cursussen, bijvoorbeeld:

Kunnen wij je helpen?

Deze cursus is vervangen door DP-700-4D – Microsoft Fabric Data Engineer (DP-700) Note: This course and its associated exam will be retired on March 31, 2025. Want to know more? Click here. Good news: the DP-700 (Microsoft Fabric Data Engineer), which we will be offering soon, will serve as its replacement.

We offer you a free Microsoft exam voucher.

In this course, you 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.

You will begin by understanding the core compute and storage technologies that are used to build an analytical solution. Then you’ll explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. You will also learn how to interactively explore data stored in files in a data lake.

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 will be introduced to you. You will also learn the various ways you can transform the data using the same technologies that is used to ingest data.

You will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. As a result you will come to understand the importance of implementing security to ensure that the data is protected at rest or in transit. You’ll will be shown how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.

We bieden deze cursus ook in het Nederlands aan, bekijk het hier: Data Engineering on Microsoft Azure (DP-203).

Doel

After completing this course, you will be able to:
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 Synapase Analytics
Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Doelgroep

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.

Voorkennis

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. In addition to their professional experience, candidates who take this course should have technical knowledge equivalent to the DP-900 Microsoft Azure Data Fundamentals course.

Dejan de Gooijer

accountmanager

Onderwerpen

Module 1: Explore compute and storage options for data engineering workloads
Module 2: Run interactive queries using Azure Synapse Analytics serverless SQL pools
Module 3: Data exploration and transformation in Azure Databricks
Module 4: Explore, transform, and load data into the Data Warehouse using Apache Spark
Module 5: Ingest and load data into the data warehouse
Module 6: Transform data with Azure Data Factory or Azure Synapse Pipelines

Module 7: Orchestrate data movement and transformation in Azure Synapse Pipelines
Module 8: End-to-end security with Azure Synapse Analytics
Module 9: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Module 10: Real-time Stream Processing with Stream Analytics
Module 11: Create a Stream Processing Solution with Event Hubs and Azure Databricks

Planning & Prijs

Gerelateerde cursussen

Ervaringen

ervaringen verzameld via

"Training was prima, goede tips gekregen met af en toe een grap en grol. Locatie was prima, goed verzogd vwb koffie/thee, fruit en koekje. Mensen ook zeer vriendelijk. Lunch was perfect en zeer uitgebreid."

9

"De cursus was goed, en de verzorging ook!Ik heb er veel van opgestoken! De lokatie in Nieuwegein is goed te bereiken met het openbaar vervoer, dus dat is prettig. Tot een volgenden keer."

10

"Ik vond de training erg leerzaam. De inhoud was van een hoog niveau en de docent was goed thuis in de materie. Ik stel het vooral op prijs dat er diep op de concepten werd ingegaan."

9

Categorieën

Onderwerpen

Leveranciers

Prijs