About this Course

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Shareable Certificate
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Start instantly and learn at your own schedule.
Flexible deadlines
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Intermediate Level
Approx. 13 hours to complete
English

Skills you will gain

Data AnalysisMicrosoft AzureBig DataData LakeData Factory
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

Offered by

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LearnQuest

Syllabus - What you will learn from this course

Week
1

Week 1

7 minutes to complete

Introduction

7 minutes to complete
1 video (Total 7 min)
1 video
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
1.2 - ELT Processing using Azure9m
1.3 - Databricks and Azure Spark7m
1.4 Transform Data using Databricks in ADF8m
1.5 Use Case: ADF and Spark7m
3 readings
Azure Databricks and Apache Spark10m
Exercise 1 - Use Batch Processing with Databricks and Data Factory on Azure10m
Exercise 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
4 videos
Processing using a Pipeline7m
Analyzing Logs for an HDInsight Cluster9m
Using Azure Blob Storage within HDInsight7m
3 readings
Using Azure Blob Storage with HDInsight5m
Exercise 1 - Pipeline Activities & Usage in Azure Data Factory15m
Exercise 2 - Examine Logs within the HDInsight/Blob Storage15m
1 practice exercise
Module 2 Quiz30m
Week
2

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
5 videos
Identifying Pipelines for a Data Factory9m
Data Stores and Azure Blob Storage5m
Linked Service and Connecting Data Factory to External Resources3m
Processing Input Blobs with Azure Data Factory5m
1 reading
Exercise 1 - Link Data within Datasets in Azure Storage10m
1 practice exercise
Module 3 Quiz30m
1 hour to complete

Section 4 - Schedules and Triggers

1 hour to complete
5 videos (Total 17 min), 1 reading, 1 quiz
5 videos
Creating a Trigger that Runs a Pipeline on a Schedule2m
Scheduling a Trigger in Azure Data Factory3m
Pipeline Execution and Triggers in ADF3m
Use Case: Azure Schedule, Trigger, and Events2m
1 reading
Pipeline Execution and Triggers in ADF5m
1 practice exercise
Module 4 Quiz30m
2 hours to complete

Section 5 - Selecting Windowing Functions

2 hours to complete
5 videos (Total 30 min), 1 reading, 1 quiz
5 videos
How Stream Analytics Support Native Windowing Functions 9m
Temporal Windows5m
Using Window Functions in the GROUP BY Clause2m
Aggregating Events over Multiple Windows using WindowsQ6m
1 reading
Understanding Stream Analytics Windowing Functions10m
1 practice exercise
Module 5 Quiz30m
Week
3

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
7 videos
Generate Sample Call Data and Send it to Event Hubs10m
Creating a Stream Analytics Job 7m
Configuring Job Input and Output 3m
Define a Query to Filter Fraudulent Calls 2m
Test and Start the Job4m
Visualize Results in Power BI2m
1 reading
Output Real-Time Stream Analytics Data to a Power BI Dashboard10m
1 practice exercise
Module 6 Quiz30m
1 hour to complete

Section 7 - ELT versus ETL in Polybase

1 hour to complete
4 videos (Total 21 min), 1 reading, 1 quiz
4 videos
How SQL Data Warehouse in Microsoft Offers ELT Solutions 3m
Loading Methods using Non-PolyBase Options 3m
Use Case: A Deeper Dive into ETL Processing 3m
1 reading
Video: Ingesting Data using Polybase | Azure SQL Data Warehouse10m
1 practice exercise
Module 7 Quiz30m

Frequently Asked Questions

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