3.7
stars
66 ratings

Samant Bali +1 more instructor

6,968 already enrolled

Offered By

Data Processing with Azure

LearnQuest

About this Course

1,568 recent views

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

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.

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Intermediate Level

Approx. 12 hours to complete

English

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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

Intermediate Level

Approx. 12 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

3.75/5 (20 Ratings)

Samant Bali

Instructor

6,968 Learners

1 Course

Kenny Mobley

Instructor

33,463 Learners

2 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

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Syllabus - What you will learn from this course

Week1

Week 1

7 minutes to complete

Introduction

This Azure training course is designed to equip the students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as R, and Apache Spark.

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

5 videos

1.1 Batch Processing with Databricks and Data Factory in Azure8m1.2 - ELT Processing using Azure9m1.3 - Databricks and Azure Spark7m1.4 Transform Data using Databricks in ADF8m1.5 Use Case: ADF and Spark7m

3 readings

Azure Databricks and Apache Spark10mExercise 1 - Use Batch Processing with Databricks and Data Factory on Azure10mExercise 2 - Intro to Databricks and Data Factory Page30m

1 practice exercise

Module 1 Quiz30m

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

Traditional SMP data warehouses use an Extract, Transform and Load (ETL) process for loading data. Azure SQL Data Warehouse is a massively parallel processing (MPP) architecture that takes advantage of the scalability and flexibility of compute and storage resources. Utilizing an Extract, Load, and Transform (ELT) process can take advantage of MPP and eliminate resources needed to transform the data prior to loading.

1 hour to complete

4 videos (Total 21 min), 1 reading, 1 quiz

Reviews

3.7

23 reviews

5 stars
37.87%
4 stars
27.27%
3 stars
13.63%
2 stars
6.06%
1 star
15.15%

TOP REVIEWS FROM DATA PROCESSING WITH AZURE

by JMApr 28, 2021

This course gave a detailed overview of Microsoft azure,

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Frequently Asked Questions

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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Data Processing with Azure

Data Processing with Azure

About this Course

What you will learn

Skills you will gain