DP-203T00 : Data Engineering on Microsoft Azure

AZ-140T00: Configuring and Operating Microsoft Azure Virtual Desktop
08/05/2021
AZ-700T00 : Designing and Implementing Microsoft Azure Networking Solutions
08/06/2021
τεστ

DP-203T00 : Data Engineering on Microsoft Azure

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

 

The duration of the program :

Classroom
Instructor Led : 32 h

Live Online
Instructor Led  : 32 h

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.

·         MODULE Introduction to data engineering on Azure

·         MODULE Introduction to Azure Data Lake Storage Gen2

·         MODULE Introduction to Azure Synapse Analytics

·         MODULE Use Azure Synapse serverless SQL pool to query files in a data lake

·         MODULE Use Azure Synapse serverless SQL pools to transform data in a data lake

·         MODULE Create a lake database in Azure Synapse Analytics

·         MODULE Analyze data with Apache Spark in Azure Synapse Analytics

·         MODULE Transform data with Spark in Azure Synapse Analytics

·         MODULE Use Delta Lake in Azure Synapse Analytics

·         MODULE Analyze data in a relational data warehouse

·         MODULE Load data into a relational data warehouse

·         MODULE Build a data pipeline in Azure Synapse Analytics

·         MODULE Use Spark Notebooks in an Azure Synapse Pipeline

·         MODULE Plan hybrid transactional and analytical processing using Azure Synapse Analytics

·         MODULE Implement Azure Synapse Link with Azure Cosmos DB

·         MODULE Implement Azure Synapse Link for SQL

·         MODULE Get started with Azure Stream Analytics

·         MODULE Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics

·         MODULE Visualize real-time data with Azure Stream Analytics and Power BI

·         MODULE Introduction to Microsoft Purview

·         MODULE Integrate Microsoft Purview and Azure Synapse Analytics

·         MODULE Explore Azure Databricks

·         MODULE Use Apache Spark in Azure Databricks

·         MODULE Run Azure Databricks Notebooks with Azure Data Factory

Microsoft Certified: Azure Data Engineer Associate

Azure Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs

Required Exam : DP-203

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.

Specifically completing:

Location Date Time (UTC+2 )
Delivery Format Language
Live Online* 30-Spt & 2,3,7,9,10-Oct Mon, Wed, Thu 17:30-22:00 Instructor Led Greek

* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class




    Με την συμπλήρωση της φόρμας αποδέχεστε την Πολιτική
    Προσωπικών Δεδομένων της Infolab και συγκατατίθεστε όπως η εταιρεία χρησιμοποιήσει
    τα προσωπικά σας δεδομένα για τη διαχείριση του αιτήματός σας
    και την επικοινωνία μαζί σας προς το σκοπό αυτό. Μπορείτε να
    ανακαλέσετε ανά πάσα στιγμή τη συγκατάθεσή σας σύμφωνα με
    όσα καθορίζονται στη Πολιτική Προσωπικών Δεδομένων της
    εταιρείας.

    Last update : 27/12/2023 (DP-203T00-A)