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DP-203: Data Engineering on Microsoft Azure Training

Category

Azure

Rating
4
(4)
Price

$2295

Course Description

Note: This is a replacement course for DP-200T01 and DP-201T01 .

DP-203: Data Engineering on Microsoft Azure course is intended for all data engineers. All the professionals who want to learn this course must also have the subject matter expertise. They should know how to integrate, transform, and consolidate the data. Learning this course will help professionals know about all the pipelines of data.

The data engineer further has to ensure that the data stores perform efficiently in an organized manner as per the business requirement. There are some other prerequisites for this course as well. The professionals must be strong about processing languages such as SQL, Python, or Scala. The main skills that they will acquire are implementation of data storage, development of data processing, data security, and optimizing the data storage and data processing.

This training is designed based on the objectives of the course variant DP-203T00-A.

Objectives

  • 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 Synapse Analytics
  • Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Who Should Attend?

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.

img-dp-203-data-engineering-on-microsoft-azure.jpg

Course Details

  • Start Date: Jun 28, 2021
  • Duration: 4 Days
  • Skill Level: Intermediate
  • More Schedules: Click
  • Certification: YES
  • Enrolled: 1446

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