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DP-203 – Data Engineering on Microsoft Azure

This property is marketed by

InnoventSys

Member Since: 3 months
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Offer Type

best-certificate-courses

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Medium

NG

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Method

NG

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Duration

00 NG

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Location

Colombo

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Commencement

Soon

Description

Audience Profile

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.

 
Course Objectives

After completing this course, you will be able to:

  • Explore compute and storage options for data engineering workloads in Azure
  • Run interactive queries using serverless SQL pools
  • Perform data Exploration and Transformation in Azure Databricks
  • Explore, transform, and load data into the Data Warehouse using Apache Spark
  • 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
  • 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
 
Participant 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
 
Course Outline
  • 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

Details

Last Updated On: February 9th, 2024 at 10:05 am
Method:NG
medium:NG
commencement:Soon
duration:00 NG
Location:Colombo

Features

  • Alumni Association
  • Book Shop
  • Cafeteria
  • Clubs and Societies
  • Labs
  • Library
  • LMS
  • Medical Facilities
  • Parking
  • Recreation Area
  • Relaxation Area
  • Student Center
  • Study Area
  • Wi-Fi

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