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Azure Data Factory
Transform your Data
Speaker Introduction
C# Corner MVP(3), MCP, MCTS,MCSA, OCA
http://manojmittalblogs.blogspot.in
https://www.youtube.com/user/manojmcans/videos
/Manojmcans
In/manoj-mittal-mcp-mcts-oca-mcsa/
https://www.c-sharpcorner.com/members/manoj-mittal
Manoj Mittal
Sr. Technical Architect
@ Mindtree Ltd
Data Factory is a Cloud based data
integration service used to compose
data storage, data movement and
processing services into automated data
pipelines
Azure Data Factory
What is Data Factory
Cloud-based PaaS
Solution
(Pay what u used and scalable, Server
Less, No Patching)
Data Integration
Services
(Allow to integrate from multiple
sources, Generate and Provide
Common Platform)
Orchestration and
Automation
(80+ connector, Pipeline can be
automate whenever you need)
Data
Transformation
(HD Insights, Data Bricks, Azure
Function are data transform tool, Now
Data Flow help to aggregate the data
and transform )
ETL Vs ELT
ETL
(Transform i.e. filters, lookup, before
loading and designed for reliability i.e.
data well structured compliance )
ELT
(Transform after loading (on DW),
designed for agility i.e. Change freedom
to change query on fly as business need
frequently)
Azure Data Factory
SSIS Vs ADF
SSIS
Mode Code-free transformations
On Premises Connector( e.g. Excel not
available with data factory)
ADF
Much Higher Scalability
Cloud and SaaS Connectors
Event-based trigger
Can run SSIS Package
Data Factory Consideration
Two Versions
ADF v2 is the current and
improved version
Build Options
PowerShell, .NET, Python,
REST, ARM
Highly Integrated
DevOps, Key Vault,
Monitor, Automation..
No Data Storage
Need to persist data by
the end
Security Standards
HTTP/ TLS whenever
possible
Main Data Factory Elements
Activity
Trigger
Integration Runtime
Pipeline
Activity
Linked Services
Dataset
Data Factory Elements Relationship
PipelineActivityDataset
Linked
Service
Logical Group
Consumes
Produces
Runs On
Represent
Data On
Data Factory Elements Relationship
Azure Data Factory
Pipeline
Integration Runtime
Linked Service Data Set Copy Activity Linked ServiceData Set
Blob Storage Azure SQL
Database
Build ETL Process using Azure Data Factory

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Build ETL Process using Azure Data Factory

  • 2. Speaker Introduction C# Corner MVP(3), MCP, MCTS,MCSA, OCA http://manojmittalblogs.blogspot.in https://www.youtube.com/user/manojmcans/videos /Manojmcans In/manoj-mittal-mcp-mcts-oca-mcsa/ https://www.c-sharpcorner.com/members/manoj-mittal Manoj Mittal Sr. Technical Architect @ Mindtree Ltd
  • 3. Data Factory is a Cloud based data integration service used to compose data storage, data movement and processing services into automated data pipelines Azure Data Factory
  • 4. What is Data Factory Cloud-based PaaS Solution (Pay what u used and scalable, Server Less, No Patching) Data Integration Services (Allow to integrate from multiple sources, Generate and Provide Common Platform) Orchestration and Automation (80+ connector, Pipeline can be automate whenever you need) Data Transformation (HD Insights, Data Bricks, Azure Function are data transform tool, Now Data Flow help to aggregate the data and transform )
  • 5. ETL Vs ELT ETL (Transform i.e. filters, lookup, before loading and designed for reliability i.e. data well structured compliance ) ELT (Transform after loading (on DW), designed for agility i.e. Change freedom to change query on fly as business need frequently) Azure Data Factory
  • 6. SSIS Vs ADF SSIS Mode Code-free transformations On Premises Connector( e.g. Excel not available with data factory) ADF Much Higher Scalability Cloud and SaaS Connectors Event-based trigger Can run SSIS Package
  • 7. Data Factory Consideration Two Versions ADF v2 is the current and improved version Build Options PowerShell, .NET, Python, REST, ARM Highly Integrated DevOps, Key Vault, Monitor, Automation.. No Data Storage Need to persist data by the end Security Standards HTTP/ TLS whenever possible
  • 8. Main Data Factory Elements Activity Trigger Integration Runtime Pipeline Activity Linked Services Dataset
  • 9. Data Factory Elements Relationship PipelineActivityDataset Linked Service Logical Group Consumes Produces Runs On Represent Data On
  • 10. Data Factory Elements Relationship Azure Data Factory Pipeline Integration Runtime Linked Service Data Set Copy Activity Linked ServiceData Set Blob Storage Azure SQL Database

Editor's Notes

  1. Bots in Microsoft Teams can be part of a one-to-one conversation, a group chat, or a channel in a team. Each scope provides unique opportunities, and challenges, for your conversational bot.