Data Processing with Azure

BY
LearnQuest via Coursera

Lavel

Intermediate

Mode

Online

Duration

3 Weeks

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 4 Hours Per Week

Course and certificate fees

Type of course

Free

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,436

The syllabus

Week 1: Introduction

Videos
  • Course Introduction

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

Videos
  • 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
Readings
  • 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
Practice Exercise
  • Module 1 Quiz

Week 1: Section 2 - Creating Pipelines and Activities

Videos
  • Pipelines and Activities - Introduction
  • Processing using a Pipeline
  • Analyzing Logs for an HDInsight Cluster
  • Using Azure Blob Storage within HDInsight
Readings
  • Using Azure Blob Storage with HDInsight
  • Exercise 1 - Pipeline Activities & Usage in Azure Data Factory
  • Exercise 2 - Examine Logs within the HDInsight/Blob Storage
Practice Exercise
  • Module 2 Quiz

Week 2: Section 3 - Link Services and Datasets

Videos
  • 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
Readings
  • Exercise 1 - Link Data within Datasets in Azure Storage
Practice Exercise
  • Module 3 Quiz

Week 2: Section 4 - Schedules and Triggers

Videos
  • 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
Readings
  • Pipeline Execution and Triggers in ADF
Practice Exercise
  • Module 4 Quiz

Week 2: Section 5 - Selecting Windowing Functions

Videos
  • 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
Readings
  • Understanding Stream Analytics Windowing Functions
Practice Exercise
  • Module 5 Quiz

Week 3: Section 6 - Configuring Input and Output for Streaming Data Solutions

Videos
  • 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
Readings
  • Output Real-Time Stream Analytics Data to a Power BI Dashboard
Practice Exercise
  • Module 6 Quiz

Week 3: Section 7 - ELT versus ETL in Polybase

Videos
  • 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
Readings
  • Video: Ingesting Data using Polybase | Azure SQL Data Warehouse
Practice Exercise
  • Module 7 Quiz

Instructors

Mr Kenny Mobley
Instructor
LearnQuest

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