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Data Processing with Azure 

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Data Processing with Azure
 at 
Coursera 
Overview

Duration

13 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Data Processing with Azure
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Intermediate Level
  • Approx. 13 hours to complete
  • English Subtitles: French, Portuguese (European), Russian, English, Spanish
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Data Processing with Azure
 at 
Coursera 
Course details

More about this course
  • 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.

Data Processing with Azure
 at 
Coursera 
Curriculum

Introduction

Course Introduction

1.1 Batch Processing with Databricks and Data Factory in Azure

1.2 - ELT Processing using Azure

1.3 - Databricks and Azure Spark

1.4 Transform Data using Databricks in ADF

1.5 Use Case: ADF and Spark

Azure Databricks and Apache Spark

Exercise 1 - Use Batch Processing with Databricks and Data Factory on Azure

Exercise 2 - Intro to Databricks and Data Factory Page

Module 1 Quiz

Pipelines and Activities - Introduction

Processing using a Pipeline

Analyzing Logs for an HDInsight Cluster

Using Azure Blob Storage within HDInsight

Using Azure Blob Storage with HDInsight

Exercise 1 - Pipeline Activities & Usage in Azure Data Factory

Exercise 2 - Examine Logs within the HDInsight/Blob Storage

Module 2 Quiz

Section 3 - Link Services and Datasets

Link Services and Datasets - Introduction

Identifying Pipelines for a Data Factory

Data Stores and Azure Blob Storage

Linked Service and Connecting Data Factory to External Resources

Processing Input Blobs with Azure Data Factory

Exercise 1 - Link Data within Datasets in Azure Storage

Module 3 Quiz

Schedules and Triggers - Introduction

Creating a Trigger that Runs a Pipeline on a Schedule

Scheduling a Trigger in Azure Data Factory

Pipeline Execution and Triggers in ADF

Use Case: Azure Schedule, Trigger, and Events

Pipeline Execution and Triggers in ADF

Module 4 Quiz

Selecting Windowing Functions - Introduction

How Stream Analytics Support Native Windowing Functions

Temporal Windows

Using Window Functions in the GROUP BY Clause

Aggregating Events over Multiple Windows using WindowsQ

Understanding Stream Analytics Windowing Functions

Module 5 Quiz

Section 6 - Configuring Input and Output for Streaming Data Solutions

How Stream Analytics Relate to Data Solutions

Generate Sample Call Data and Send it to Event Hubs

Creating a Stream Analytics Job

Configuring Job Input and Output

Define a Query to Filter Fraudulent Calls

Test and Start the Job

Visualize Results in Power BI

Output Real-Time Stream Analytics Data to a Power BI Dashboard

Module 6 Quiz

ELT vs ETL in PolyBase - Introduction

How SQL Data Warehouse in Microsoft Offers ELT Solutions

Loading Methods using Non-PolyBase Options

Use Case: A Deeper Dive into ETL Processing

Video: Ingesting Data using Polybase

Azure SQL Data Warehouse

Module 7 Quiz

Data Processing with Azure
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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