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Microsoft Azure Data Engineer

Microsoft Azure Data Engineer offers courses where 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.

Duration: 18 Evenings
3 Hours / Day
Delivery : VLIT
Savings : 2 x Free Exams

Whats Included?


Course 10985-C: Introduction to SQL Databases

This course is aimed at people looking to move into a database professional role or whose job role is expanding to encompass database elements. The course describes fundamental database concepts including database types, database languages, and database designs.

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DA-100: Analyzing Data With Power BI

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

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DP-203 Data Engineering On Microsoft Azure

In this course, 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.

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Job Opportunities

  • Data Analyst
  • Data Engineer


Virtual Lecturer-led Interactive Teaching (VLIT)

Virtual instruction environments are designed to simulate the traditional classroom or learning experience. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

Value For Money

Course : Microsoft Azure Data Engineer
Cost : R 23 000
Included with Package : 2 x Free Exams
Course 10985-C: Introduction to SQL Databases
DA-100: Analyzing Data with Microsoft Power BI
DP-203 Data Engineering on Microsoft Azure
Savings : 2 x Free Exams


The information above is subject to terms and conditions , promotion valid for limited time only.
Terms and Conditions


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