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2021-02-05 13:30:35
30-Day Money-Back Guarantee
IT & Software IT Certification Microsoft Certification

Azure Data Factory V2:Premium Hands on Practical Course Pack

Learn most used Azure Integration tool Azure Data Factory V2. Premium Course available with a Cook-Book PDF integrated.
Rating: 3.7 out of 53.7 (87 ratings)
9,308 students
Created by Sujeet Singh
Last updated 1/2021
English
30-Day Money-Back Guarantee

What you'll learn

  • Student will learn how to utilize Azure Data Factory ,a cloud based integration service to design and develop different pipelines to move data from on premise to Azure Cloud and inter cloud sources.
  • One and only course on Udemy which covers best practices with respect to design performance oriented and efficient data movement pipelines and transformations using Azure Data Factory tool.
  • This course covers deeply all the Control Flow Activities and Data Flow Transformations with industry specific use cases.
  • DP-200 Exam Topics: Implement the integration runtime for Data Factory, Implement Copy Activity within Azure Data Factory, Create linked services and datasets, Create pipelines and activities, Implement Mapping Data Flows in Azure Data Factory, Create and schedule triggers, Monitor Data Factory pipelines
  • DP-201 Exam Topics: Design batch processing solutions that use Data Factory, identify the optimal data ingestion method for a batch processing solution, identify where processing should take place, such as at the source or at the destination or in transit, identify transformation logic to be used in the Mapping Data Flow in Azure Data Factory.
  • This course is packed with different assignments and hand on practical to enable students get expertise in designing different pipelines to meet day to day need of a cloud data engineer.
  • Student will get exposure to industry level use cases and implementation scenarios. This course have examples to explain few data movement stories.

Requirements

  • Basic concept of data and data bases.
  • Requires laptop and internet connectivity.
  • Need to opt for Azure Trial Subscription (free of cost) to practice.

Description

In this course, students will learn how to use Azure Data Factory V2 (cloud based data integration service) to design data movement pipelines and transformation workloads. This course is a complete guide to data enthusiasts to understand each and every building blocks of Azure Data Factory. They will get practical exposure to use and implement different components of Azure Data Factory with basic overview of their settings and configuration. This course is enriched with best practices and recommended steps to design optimized data pipelines. After completing this course, one can easily design basic to medium complex level data movement pipelines with competency of using best practices and recommended techniques to build efficient data movement workloads.  This course will enable students to qualify Microsoft Certification Exam DP 200 & DP 201 and make them capable of solving scenario based questions asked in these exams.  This course covers industry level implementation and use cases.

Get a latest copy of e-book written by Microsoft Tech Experts and developers , who work as core developer for this tool. The book is loaded with basic scenarios and different industry use cases to master this tool.

* Updated on Nov-2020 : Added Practice Test for DP 200 & DP 201 Exam Mock-Up.

* Updated on Dec-2020 : Added Incremental load section with latest video.

* Updated on Jan-2021 : Uploaded the latest resources and the e-book.


Who this course is for:

  • ETL Developer, Data Engineers, Data Architect, Data Integration Engineers and Cloud Enthusiasts

Course content

10 sections • 49 lectures • 4h 11m total length

  • Preview06:36
  • Provisioning Azure Data Factory V2
    07:09
  • Lab: Steps to Provision Azure Data Factory V2 & Configuration
    04:02
  • Test Your Knowledge
    1 question

  • Preview03:47
  • Building blocks and Entities
    05:54
  • Preview03:43
  • Lab: Steps to setup Integration Runtime
    07:49
  • Repository Integration
    03:29
  • Lab: Walkthrough of Data Factory Tool
    04:53
  • Basic overview of DIU (Data Integration Units)
    03:37
  • Configure Self Hosted Integration Runtime
    1 question

  • Copy Data Activity
    12:13
  • Data Flow Activity
    03:20
  • Preview04:00
  • GET Metadata Activity
    07:14
  • Execute Pipeline Activity
    02:10
  • Execute SSIS Package Activity
    04:15
  • Stored Procedure Activity
    02:30
  • Validation Activity
    01:20
  • Wait Activity
    01:16
  • Web Activity
    02:50
  • Preview02:49
  • For Each Activity
    03:16
  • If Condition Activity
    01:20
  • Switch Activity
    03:10
  • Until Activity
    01:50
  • Assignment for Control Flow Activities
    07:47

  • Data Flow Introduction
    10:28
  • Preview03:55
  • How to spin your first Data Flow in Data Factory
    04:39
  • How to Execute Data Flow
    06:23
  • Sorting, Alter and Aggregation Transformation in Mapping Data Flow
    13:03
  • Derived Column Transformation
    03:15
  • JOIN Transformation
    05:37
  • Assignment
    03:34

  • Linked Service Parameters
    07:29
  • Dataset Parameters
    07:04

  • Monitoring Data Factory Pipelines
    04:42
  • Manage Data Factory Visually
    01:43
  • Triggers and Scheduling
    03:59
  • Lab: Create Triggers
    04:20
  • Lab: Monitor Pipeline Execution
    11:09
  • Lab: Create Alerts and Notifications
    05:26

  • Best Practices Part - 1
    07:24
  • Best Practices Part - 2
    04:39

  • Bulk Table Load (Concepts)
    03:34
  • Lab: Bulk SQL Table Load
    14:48
  • Incremental Load ( Walk Through)
    03:08
  • Lab: Incremental Load
    07:46

  • Azure Certification DP-200 & DP-201 Mock-Up
    1 question

  • e-book: Understanding Azure Data Factory
    01:12

Instructor

Sujeet Singh
Azure Data Architect and Microsoft Certified Professional
Sujeet Singh
  • 3.6 Instructor Rating
  • 103 Reviews
  • 10,169 Students
  • 2 Courses

- Microsoft Certified Solution Expert: Data Management and Analytics & Microsoft Certified Cloud Data Engineer

- Expertise of working on cloud based technologies like Azure Synapse, Azure Data Factory and Azure Databricks. Experience of designing data solution in Azure Cloud to support Analytics and Business Intelligence need.

- Experience of designing ELT and ETL solution and implementing Data Warehouse in cloud as well as on premise.

- 8 + years of experience of working on Microsoft BI suite, Microsoft Azure and  Big Data Ecosystems

- Have worked on more than 5 enterprise level migration projects  to migrate Big Data architectures from on premise to Big Data cloud platform.

- Work as freelancer, consultant and trainer.

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