About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 12 hours to complete
English

What you will learn

  • Configure batch processing with Databricks and Data Factory on Azure

  • Use ETL and ELT to load and transform data

  • Create linked services and identify pipelines for data stored within Data Factory

  • Explain Data Virtualization in PolyBase

Skills you will gain

  • Data Analysis
  • Microsoft Azure
  • Big Data
  • Data Lake
  • Data Factory
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 12 hours to complete
English

Offered by

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LearnQuest

Syllabus - What you will learn from this course

Week1
Week 1
7 minutes to complete

Introduction

7 minutes to complete
1 video (Total 7 min)
2 hours to complete

Section 1 - Batch Processing with Databricks and Data Factory on Azure

2 hours to complete
5 videos (Total 40 min), 3 readings, 1 quiz
2 hours to complete

Section 2 - Creating Pipelines and Activities

2 hours to complete
4 videos (Total 46 min), 3 readings, 1 quiz
Week2
Week 2
2 hours to complete

Section 3 - Link Services and Datasets

2 hours to complete
5 videos (Total 38 min), 1 reading, 1 quiz
1 hour to complete

Section 4 - Schedules and Triggers

1 hour to complete
5 videos (Total 17 min), 1 reading, 1 quiz
2 hours to complete

Section 5 - Selecting Windowing Functions

2 hours to complete
5 videos (Total 30 min), 1 reading, 1 quiz
Week3
Week 3
2 hours to complete

Section 6 - Configuring Input and Output for Streaming Data Solutions

2 hours to complete
7 videos (Total 33 min), 1 reading, 1 quiz
1 hour to complete

Section 7 - ELT versus ETL in Polybase

1 hour to complete
4 videos (Total 21 min), 1 reading, 1 quiz

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