SlideShare a Scribd company logo
Azure Data Factory
Visual Data Flow
Limited Preview December 2018
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
ADF Data Flow Workstream
Data Sources Staging Transformations Destination
Sort, Merge, Join,
Lookup …
• Explicit user action
• User places data
source(s) on design
surface, from toolbox
• Select explicit sources
• Implicit/Explicit
• Data Lake staging area
as default
• User does not need to
configure this manually
• Advanced feature to set
staging area options
• File Formats / Types
(Parquet, JSON, txt, CSV
…)
• Explicit user action
• User places
transformations on
design surface, from
toolbox
• User must set properties
for transformation steps
and step connectors
• Explicit user action
• User chooses destination
connector(s)
• User sets connector
property options
adfdataflowext@microsoft.com
http://aka.ms/dataflowpreview
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Microsoft Azure Data Factory Data Flow Scenarios
Ad

More Related Content

What's hot (20)

Microsoft Fabric Intro D Koutsanastasis
Microsoft Fabric Intro D KoutsanastasisMicrosoft Fabric Intro D Koutsanastasis
Microsoft Fabric Intro D Koutsanastasis
Uni Systems S.M.S.A.
 
Hyperspace for Delta Lake
Hyperspace for Delta LakeHyperspace for Delta Lake
Hyperspace for Delta Lake
Databricks
 
Azure Data Factory
Azure Data FactoryAzure Data Factory
Azure Data Factory
HARIHARAN R
 
File Format Benchmark - Avro, JSON, ORC & Parquet
File Format Benchmark - Avro, JSON, ORC & ParquetFile Format Benchmark - Avro, JSON, ORC & Parquet
File Format Benchmark - Avro, JSON, ORC & Parquet
DataWorks Summit/Hadoop Summit
 
Processing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeekProcessing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeek
Venkata Naga Ravi
 
Azure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data FlowsAzure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data Flows
Thomas Sykes
 
Parallelization of Structured Streaming Jobs Using Delta Lake
Parallelization of Structured Streaming Jobs Using Delta LakeParallelization of Structured Streaming Jobs Using Delta Lake
Parallelization of Structured Streaming Jobs Using Delta Lake
Databricks
 
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
James Serra
 
The delta architecture
The delta architectureThe delta architecture
The delta architecture
Prakash Chockalingam
 
Microsoft Azure Databricks
Microsoft Azure DatabricksMicrosoft Azure Databricks
Microsoft Azure Databricks
Sascha Dittmann
 
Azure data factory
Azure data factoryAzure data factory
Azure data factory
David Giard
 
Simplify CDC Pipeline with Spark Streaming SQL and Delta Lake
Simplify CDC Pipeline with Spark Streaming SQL and Delta LakeSimplify CDC Pipeline with Spark Streaming SQL and Delta Lake
Simplify CDC Pipeline with Spark Streaming SQL and Delta Lake
Databricks
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)
James Serra
 
Oracle REST Data Services: Options for your Web Services
Oracle REST Data Services: Options for your Web ServicesOracle REST Data Services: Options for your Web Services
Oracle REST Data Services: Options for your Web Services
Jeff Smith
 
Azure Data Factory presentation with links
Azure Data Factory presentation with linksAzure Data Factory presentation with links
Azure Data Factory presentation with links
Chris Testa-O'Neill
 
Optimizing Apache Spark SQL Joins
Optimizing Apache Spark SQL JoinsOptimizing Apache Spark SQL Joins
Optimizing Apache Spark SQL Joins
Databricks
 
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the CloudAmazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Noritaka Sekiyama
 
Mapping Data Flows Training April 2021
Mapping Data Flows Training April 2021Mapping Data Flows Training April 2021
Mapping Data Flows Training April 2021
Mark Kromer
 
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...
Spark Summit
 
Parquet overview
Parquet overviewParquet overview
Parquet overview
Julien Le Dem
 
Microsoft Fabric Intro D Koutsanastasis
Microsoft Fabric Intro D KoutsanastasisMicrosoft Fabric Intro D Koutsanastasis
Microsoft Fabric Intro D Koutsanastasis
Uni Systems S.M.S.A.
 
Hyperspace for Delta Lake
Hyperspace for Delta LakeHyperspace for Delta Lake
Hyperspace for Delta Lake
Databricks
 
Azure Data Factory
Azure Data FactoryAzure Data Factory
Azure Data Factory
HARIHARAN R
 
Processing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeekProcessing Large Data with Apache Spark -- HasGeek
Processing Large Data with Apache Spark -- HasGeek
Venkata Naga Ravi
 
Azure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data FlowsAzure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data Flows
Thomas Sykes
 
Parallelization of Structured Streaming Jobs Using Delta Lake
Parallelization of Structured Streaming Jobs Using Delta LakeParallelization of Structured Streaming Jobs Using Delta Lake
Parallelization of Structured Streaming Jobs Using Delta Lake
Databricks
 
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
James Serra
 
Microsoft Azure Databricks
Microsoft Azure DatabricksMicrosoft Azure Databricks
Microsoft Azure Databricks
Sascha Dittmann
 
Azure data factory
Azure data factoryAzure data factory
Azure data factory
David Giard
 
Simplify CDC Pipeline with Spark Streaming SQL and Delta Lake
Simplify CDC Pipeline with Spark Streaming SQL and Delta LakeSimplify CDC Pipeline with Spark Streaming SQL and Delta Lake
Simplify CDC Pipeline with Spark Streaming SQL and Delta Lake
Databricks
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)
James Serra
 
Oracle REST Data Services: Options for your Web Services
Oracle REST Data Services: Options for your Web ServicesOracle REST Data Services: Options for your Web Services
Oracle REST Data Services: Options for your Web Services
Jeff Smith
 
Azure Data Factory presentation with links
Azure Data Factory presentation with linksAzure Data Factory presentation with links
Azure Data Factory presentation with links
Chris Testa-O'Neill
 
Optimizing Apache Spark SQL Joins
Optimizing Apache Spark SQL JoinsOptimizing Apache Spark SQL Joins
Optimizing Apache Spark SQL Joins
Databricks
 
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the CloudAmazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Noritaka Sekiyama
 
Mapping Data Flows Training April 2021
Mapping Data Flows Training April 2021Mapping Data Flows Training April 2021
Mapping Data Flows Training April 2021
Mark Kromer
 
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...
Deep Dive into Project Tungsten: Bringing Spark Closer to Bare Metal-(Josh Ro...
Spark Summit
 

Similar to Microsoft Azure Data Factory Data Flow Scenarios (20)

Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory Data Flow Limited Preview for January 2019Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory Data Flow Limited Preview for January 2019
Mark Kromer
 
Frame - Feature Management for Productive Machine Learning
Frame - Feature Management for Productive Machine LearningFrame - Feature Management for Productive Machine Learning
Frame - Feature Management for Productive Machine Learning
David Stein
 
Datastage Introduction To Data Warehousing
Datastage Introduction To Data WarehousingDatastage Introduction To Data Warehousing
Datastage Introduction To Data Warehousing
Vibrant Technologies & Computers
 
Spark SQL In Depth www.syedacademy.com
Spark SQL In Depth www.syedacademy.comSpark SQL In Depth www.syedacademy.com
Spark SQL In Depth www.syedacademy.com
Syed Hadoop
 
Informatica slides
Informatica slidesInformatica slides
Informatica slides
sureshpaladi12
 
Sf big analytics_2018_04_18: Evolution of the GoPro's data platform
Sf big analytics_2018_04_18: Evolution of the GoPro's data platformSf big analytics_2018_04_18: Evolution of the GoPro's data platform
Sf big analytics_2018_04_18: Evolution of the GoPro's data platform
Chester Chen
 
Building Lakehouses on Delta Lake with SQL Analytics Primer
Building Lakehouses on Delta Lake with SQL Analytics PrimerBuilding Lakehouses on Delta Lake with SQL Analytics Primer
Building Lakehouses on Delta Lake with SQL Analytics Primer
Databricks
 
Asap session 2
Asap session 2Asap session 2
Asap session 2
Synergetics Learning and Cloud Consulting
 
A Real World Guide to Building Highly Available Fault Tolerant SharePoint Farms
A Real World Guide to Building Highly Available Fault Tolerant SharePoint FarmsA Real World Guide to Building Highly Available Fault Tolerant SharePoint Farms
A Real World Guide to Building Highly Available Fault Tolerant SharePoint Farms
Eric Shupps
 
2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile
2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile
2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile
Kye Hittle
 
Architecting solutions connecting to lob applications
Architecting solutions connecting to lob applicationsArchitecting solutions connecting to lob applications
Architecting solutions connecting to lob applications
microsoftasap
 
Architecting solutions connecting to lob applications
Architecting solutions connecting to lob applicationsArchitecting solutions connecting to lob applications
Architecting solutions connecting to lob applications
microsoftasap
 
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Introduction to DataFusion  An Embeddable Query Engine Written in RustIntroduction to DataFusion  An Embeddable Query Engine Written in Rust
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Andrew Lamb
 
Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...
Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...
Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...
HostedbyConfluent
 
SAP Business Objects Trianing
SAP Business Objects TrianingSAP Business Objects Trianing
SAP Business Objects Trianing
Sandeep Sharma IIMK Smart City,IoT,Bigdata,Cloud,BI,DW
 
Netvu test slideshow
Netvu test slideshowNetvu test slideshow
Netvu test slideshow
Ryan Deeds
 
SAP BO and Teradata best practices
SAP BO and Teradata best practicesSAP BO and Teradata best practices
SAP BO and Teradata best practices
Dmitry Anoshin
 
A SharePoint File Migration Framework
A SharePoint File Migration FrameworkA SharePoint File Migration Framework
A SharePoint File Migration Framework
Gerry Brimacombe
 
SharePoint Saturday UK 2012 - End User InfoPath and SharePoint Designer
SharePoint Saturday UK 2012 - End User InfoPath and SharePoint DesignerSharePoint Saturday UK 2012 - End User InfoPath and SharePoint Designer
SharePoint Saturday UK 2012 - End User InfoPath and SharePoint Designer
Chirag Patel
 
Cara v3.6 released - major new features
Cara v3.6 released - major new featuresCara v3.6 released - major new features
Cara v3.6 released - major new features
Generis
 
Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory Data Flow Limited Preview for January 2019Azure Data Factory Data Flow Limited Preview for January 2019
Azure Data Factory Data Flow Limited Preview for January 2019
Mark Kromer
 
Frame - Feature Management for Productive Machine Learning
Frame - Feature Management for Productive Machine LearningFrame - Feature Management for Productive Machine Learning
Frame - Feature Management for Productive Machine Learning
David Stein
 
Spark SQL In Depth www.syedacademy.com
Spark SQL In Depth www.syedacademy.comSpark SQL In Depth www.syedacademy.com
Spark SQL In Depth www.syedacademy.com
Syed Hadoop
 
Sf big analytics_2018_04_18: Evolution of the GoPro's data platform
Sf big analytics_2018_04_18: Evolution of the GoPro's data platformSf big analytics_2018_04_18: Evolution of the GoPro's data platform
Sf big analytics_2018_04_18: Evolution of the GoPro's data platform
Chester Chen
 
Building Lakehouses on Delta Lake with SQL Analytics Primer
Building Lakehouses on Delta Lake with SQL Analytics PrimerBuilding Lakehouses on Delta Lake with SQL Analytics Primer
Building Lakehouses on Delta Lake with SQL Analytics Primer
Databricks
 
A Real World Guide to Building Highly Available Fault Tolerant SharePoint Farms
A Real World Guide to Building Highly Available Fault Tolerant SharePoint FarmsA Real World Guide to Building Highly Available Fault Tolerant SharePoint Farms
A Real World Guide to Building Highly Available Fault Tolerant SharePoint Farms
Eric Shupps
 
2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile
2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile
2019 -04-23 Austin, TX Tableau Users Group - Deployment: The Final Mile
Kye Hittle
 
Architecting solutions connecting to lob applications
Architecting solutions connecting to lob applicationsArchitecting solutions connecting to lob applications
Architecting solutions connecting to lob applications
microsoftasap
 
Architecting solutions connecting to lob applications
Architecting solutions connecting to lob applicationsArchitecting solutions connecting to lob applications
Architecting solutions connecting to lob applications
microsoftasap
 
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Introduction to DataFusion  An Embeddable Query Engine Written in RustIntroduction to DataFusion  An Embeddable Query Engine Written in Rust
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Andrew Lamb
 
Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...
Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...
Developing Kafka Streams Applications with Upgradability in Mind with Neil Bu...
HostedbyConfluent
 
Netvu test slideshow
Netvu test slideshowNetvu test slideshow
Netvu test slideshow
Ryan Deeds
 
SAP BO and Teradata best practices
SAP BO and Teradata best practicesSAP BO and Teradata best practices
SAP BO and Teradata best practices
Dmitry Anoshin
 
A SharePoint File Migration Framework
A SharePoint File Migration FrameworkA SharePoint File Migration Framework
A SharePoint File Migration Framework
Gerry Brimacombe
 
SharePoint Saturday UK 2012 - End User InfoPath and SharePoint Designer
SharePoint Saturday UK 2012 - End User InfoPath and SharePoint DesignerSharePoint Saturday UK 2012 - End User InfoPath and SharePoint Designer
SharePoint Saturday UK 2012 - End User InfoPath and SharePoint Designer
Chirag Patel
 
Cara v3.6 released - major new features
Cara v3.6 released - major new featuresCara v3.6 released - major new features
Cara v3.6 released - major new features
Generis
 
Ad

More from Mark Kromer (20)

Fabric Data Factory Pipeline Copy Perf Tips.pptx
Fabric Data Factory Pipeline Copy Perf Tips.pptxFabric Data Factory Pipeline Copy Perf Tips.pptx
Fabric Data Factory Pipeline Copy Perf Tips.pptx
Mark Kromer
 
Build data quality rules and data cleansing into your data pipelines
Build data quality rules and data cleansing into your data pipelinesBuild data quality rules and data cleansing into your data pipelines
Build data quality rules and data cleansing into your data pipelines
Mark Kromer
 
Mapping Data Flows Training deck Q1 CY22
Mapping Data Flows Training deck Q1 CY22Mapping Data Flows Training deck Q1 CY22
Mapping Data Flows Training deck Q1 CY22
Mark Kromer
 
Data cleansing and prep with synapse data flows
Data cleansing and prep with synapse data flowsData cleansing and prep with synapse data flows
Data cleansing and prep with synapse data flows
Mark Kromer
 
Data cleansing and data prep with synapse data flows
Data cleansing and data prep with synapse data flowsData cleansing and data prep with synapse data flows
Data cleansing and data prep with synapse data flows
Mark Kromer
 
Mapping Data Flows Perf Tuning April 2021
Mapping Data Flows Perf Tuning April 2021Mapping Data Flows Perf Tuning April 2021
Mapping Data Flows Perf Tuning April 2021
Mark Kromer
 
Data Lake ETL in the Cloud with ADF
Data Lake ETL in the Cloud with ADFData Lake ETL in the Cloud with ADF
Data Lake ETL in the Cloud with ADF
Mark Kromer
 
Azure Data Factory Data Wrangling with Power Query
Azure Data Factory Data Wrangling with Power QueryAzure Data Factory Data Wrangling with Power Query
Azure Data Factory Data Wrangling with Power Query
Mark Kromer
 
Azure Data Factory Data Flow Performance Tuning 101
Azure Data Factory Data Flow Performance Tuning 101Azure Data Factory Data Flow Performance Tuning 101
Azure Data Factory Data Flow Performance Tuning 101
Mark Kromer
 
Data Quality Patterns in the Cloud with ADF
Data Quality Patterns in the Cloud with ADFData Quality Patterns in the Cloud with ADF
Data Quality Patterns in the Cloud with ADF
Mark Kromer
 
Azure Data Factory Data Flows Training (Sept 2020 Update)
Azure Data Factory Data Flows Training (Sept 2020 Update)Azure Data Factory Data Flows Training (Sept 2020 Update)
Azure Data Factory Data Flows Training (Sept 2020 Update)
Mark Kromer
 
Data quality patterns in the cloud with ADF
Data quality patterns in the cloud with ADFData quality patterns in the cloud with ADF
Data quality patterns in the cloud with ADF
Mark Kromer
 
Azure Data Factory Data Flows Training v005
Azure Data Factory Data Flows Training v005Azure Data Factory Data Flows Training v005
Azure Data Factory Data Flows Training v005
Mark Kromer
 
Data Quality Patterns in the Cloud with Azure Data Factory
Data Quality Patterns in the Cloud with Azure Data FactoryData Quality Patterns in the Cloud with Azure Data Factory
Data Quality Patterns in the Cloud with Azure Data Factory
Mark Kromer
 
ADF Mapping Data Flows Level 300
ADF Mapping Data Flows Level 300ADF Mapping Data Flows Level 300
ADF Mapping Data Flows Level 300
Mark Kromer
 
ADF Mapping Data Flows Training V2
ADF Mapping Data Flows Training V2ADF Mapping Data Flows Training V2
ADF Mapping Data Flows Training V2
Mark Kromer
 
ADF Mapping Data Flows Training Slides V1
ADF Mapping Data Flows Training Slides V1ADF Mapping Data Flows Training Slides V1
ADF Mapping Data Flows Training Slides V1
Mark Kromer
 
ADF Mapping Data Flow Private Preview Migration
ADF Mapping Data Flow Private Preview MigrationADF Mapping Data Flow Private Preview Migration
ADF Mapping Data Flow Private Preview Migration
Mark Kromer
 
SQL Saturday Redmond 2019 ETL Patterns in the Cloud
SQL Saturday Redmond 2019 ETL Patterns in the CloudSQL Saturday Redmond 2019 ETL Patterns in the Cloud
SQL Saturday Redmond 2019 ETL Patterns in the Cloud
Mark Kromer
 
Azure Data Factory Data Flow Preview December 2019
Azure Data Factory Data Flow Preview December 2019Azure Data Factory Data Flow Preview December 2019
Azure Data Factory Data Flow Preview December 2019
Mark Kromer
 
Fabric Data Factory Pipeline Copy Perf Tips.pptx
Fabric Data Factory Pipeline Copy Perf Tips.pptxFabric Data Factory Pipeline Copy Perf Tips.pptx
Fabric Data Factory Pipeline Copy Perf Tips.pptx
Mark Kromer
 
Build data quality rules and data cleansing into your data pipelines
Build data quality rules and data cleansing into your data pipelinesBuild data quality rules and data cleansing into your data pipelines
Build data quality rules and data cleansing into your data pipelines
Mark Kromer
 
Mapping Data Flows Training deck Q1 CY22
Mapping Data Flows Training deck Q1 CY22Mapping Data Flows Training deck Q1 CY22
Mapping Data Flows Training deck Q1 CY22
Mark Kromer
 
Data cleansing and prep with synapse data flows
Data cleansing and prep with synapse data flowsData cleansing and prep with synapse data flows
Data cleansing and prep with synapse data flows
Mark Kromer
 
Data cleansing and data prep with synapse data flows
Data cleansing and data prep with synapse data flowsData cleansing and data prep with synapse data flows
Data cleansing and data prep with synapse data flows
Mark Kromer
 
Mapping Data Flows Perf Tuning April 2021
Mapping Data Flows Perf Tuning April 2021Mapping Data Flows Perf Tuning April 2021
Mapping Data Flows Perf Tuning April 2021
Mark Kromer
 
Data Lake ETL in the Cloud with ADF
Data Lake ETL in the Cloud with ADFData Lake ETL in the Cloud with ADF
Data Lake ETL in the Cloud with ADF
Mark Kromer
 
Azure Data Factory Data Wrangling with Power Query
Azure Data Factory Data Wrangling with Power QueryAzure Data Factory Data Wrangling with Power Query
Azure Data Factory Data Wrangling with Power Query
Mark Kromer
 
Azure Data Factory Data Flow Performance Tuning 101
Azure Data Factory Data Flow Performance Tuning 101Azure Data Factory Data Flow Performance Tuning 101
Azure Data Factory Data Flow Performance Tuning 101
Mark Kromer
 
Data Quality Patterns in the Cloud with ADF
Data Quality Patterns in the Cloud with ADFData Quality Patterns in the Cloud with ADF
Data Quality Patterns in the Cloud with ADF
Mark Kromer
 
Azure Data Factory Data Flows Training (Sept 2020 Update)
Azure Data Factory Data Flows Training (Sept 2020 Update)Azure Data Factory Data Flows Training (Sept 2020 Update)
Azure Data Factory Data Flows Training (Sept 2020 Update)
Mark Kromer
 
Data quality patterns in the cloud with ADF
Data quality patterns in the cloud with ADFData quality patterns in the cloud with ADF
Data quality patterns in the cloud with ADF
Mark Kromer
 
Azure Data Factory Data Flows Training v005
Azure Data Factory Data Flows Training v005Azure Data Factory Data Flows Training v005
Azure Data Factory Data Flows Training v005
Mark Kromer
 
Data Quality Patterns in the Cloud with Azure Data Factory
Data Quality Patterns in the Cloud with Azure Data FactoryData Quality Patterns in the Cloud with Azure Data Factory
Data Quality Patterns in the Cloud with Azure Data Factory
Mark Kromer
 
ADF Mapping Data Flows Level 300
ADF Mapping Data Flows Level 300ADF Mapping Data Flows Level 300
ADF Mapping Data Flows Level 300
Mark Kromer
 
ADF Mapping Data Flows Training V2
ADF Mapping Data Flows Training V2ADF Mapping Data Flows Training V2
ADF Mapping Data Flows Training V2
Mark Kromer
 
ADF Mapping Data Flows Training Slides V1
ADF Mapping Data Flows Training Slides V1ADF Mapping Data Flows Training Slides V1
ADF Mapping Data Flows Training Slides V1
Mark Kromer
 
ADF Mapping Data Flow Private Preview Migration
ADF Mapping Data Flow Private Preview MigrationADF Mapping Data Flow Private Preview Migration
ADF Mapping Data Flow Private Preview Migration
Mark Kromer
 
SQL Saturday Redmond 2019 ETL Patterns in the Cloud
SQL Saturday Redmond 2019 ETL Patterns in the CloudSQL Saturday Redmond 2019 ETL Patterns in the Cloud
SQL Saturday Redmond 2019 ETL Patterns in the Cloud
Mark Kromer
 
Azure Data Factory Data Flow Preview December 2019
Azure Data Factory Data Flow Preview December 2019Azure Data Factory Data Flow Preview December 2019
Azure Data Factory Data Flow Preview December 2019
Mark Kromer
 
Ad

Recently uploaded (20)

Mobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi ArabiaMobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi Arabia
Steve Jonas
 
Linux Support for SMARC: How Toradex Empowers Embedded Developers
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersLinux Support for SMARC: How Toradex Empowers Embedded Developers
Linux Support for SMARC: How Toradex Empowers Embedded Developers
Toradex
 
Procurement Insights Cost To Value Guide.pptx
Procurement Insights Cost To Value Guide.pptxProcurement Insights Cost To Value Guide.pptx
Procurement Insights Cost To Value Guide.pptx
Jon Hansen
 
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxIncreasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Anoop Ashok
 
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfSAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
Precisely
 
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...
Noah Loul
 
Manifest Pre-Seed Update | A Humanoid OEM Deeptech In France
Manifest Pre-Seed Update | A Humanoid OEM Deeptech In FranceManifest Pre-Seed Update | A Humanoid OEM Deeptech In France
Manifest Pre-Seed Update | A Humanoid OEM Deeptech In France
chb3
 
AI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global TrendsAI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global Trends
InData Labs
 
Cybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure ADCybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure AD
VICTOR MAESTRE RAMIREZ
 
IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...
IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...
IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...
organizerofv
 
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
BookNet Canada
 
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
SOFTTECHHUB
 
Splunk Security Update | Public Sector Summit Germany 2025
Splunk Security Update | Public Sector Summit Germany 2025Splunk Security Update | Public Sector Summit Germany 2025
Splunk Security Update | Public Sector Summit Germany 2025
Splunk
 
How Can I use the AI Hype in my Business Context?
How Can I use the AI Hype in my Business Context?How Can I use the AI Hype in my Business Context?
How Can I use the AI Hype in my Business Context?
Daniel Lehner
 
Rusty Waters: Elevating Lakehouses Beyond Spark
Rusty Waters: Elevating Lakehouses Beyond SparkRusty Waters: Elevating Lakehouses Beyond Spark
Rusty Waters: Elevating Lakehouses Beyond Spark
carlyakerly1
 
How analogue intelligence complements AI
How analogue intelligence complements AIHow analogue intelligence complements AI
How analogue intelligence complements AI
Paul Rowe
 
Complete Guide to Advanced Logistics Management Software in Riyadh.pdf
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfComplete Guide to Advanced Logistics Management Software in Riyadh.pdf
Complete Guide to Advanced Logistics Management Software in Riyadh.pdf
Software Company
 
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfThe Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
Abi john
 
Into The Box Conference Keynote Day 1 (ITB2025)
Into The Box Conference Keynote Day 1 (ITB2025)Into The Box Conference Keynote Day 1 (ITB2025)
Into The Box Conference Keynote Day 1 (ITB2025)
Ortus Solutions, Corp
 
TrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business ConsultingTrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business Consulting
Trs Labs
 
Mobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi ArabiaMobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi Arabia
Steve Jonas
 
Linux Support for SMARC: How Toradex Empowers Embedded Developers
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersLinux Support for SMARC: How Toradex Empowers Embedded Developers
Linux Support for SMARC: How Toradex Empowers Embedded Developers
Toradex
 
Procurement Insights Cost To Value Guide.pptx
Procurement Insights Cost To Value Guide.pptxProcurement Insights Cost To Value Guide.pptx
Procurement Insights Cost To Value Guide.pptx
Jon Hansen
 
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxIncreasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Anoop Ashok
 
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfSAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdf
Precisely
 
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...
Noah Loul
 
Manifest Pre-Seed Update | A Humanoid OEM Deeptech In France
Manifest Pre-Seed Update | A Humanoid OEM Deeptech In FranceManifest Pre-Seed Update | A Humanoid OEM Deeptech In France
Manifest Pre-Seed Update | A Humanoid OEM Deeptech In France
chb3
 
AI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global TrendsAI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global Trends
InData Labs
 
Cybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure ADCybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure AD
VICTOR MAESTRE RAMIREZ
 
IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...
IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...
IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...
organizerofv
 
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
BookNet Canada
 
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
SOFTTECHHUB
 
Splunk Security Update | Public Sector Summit Germany 2025
Splunk Security Update | Public Sector Summit Germany 2025Splunk Security Update | Public Sector Summit Germany 2025
Splunk Security Update | Public Sector Summit Germany 2025
Splunk
 
How Can I use the AI Hype in my Business Context?
How Can I use the AI Hype in my Business Context?How Can I use the AI Hype in my Business Context?
How Can I use the AI Hype in my Business Context?
Daniel Lehner
 
Rusty Waters: Elevating Lakehouses Beyond Spark
Rusty Waters: Elevating Lakehouses Beyond SparkRusty Waters: Elevating Lakehouses Beyond Spark
Rusty Waters: Elevating Lakehouses Beyond Spark
carlyakerly1
 
How analogue intelligence complements AI
How analogue intelligence complements AIHow analogue intelligence complements AI
How analogue intelligence complements AI
Paul Rowe
 
Complete Guide to Advanced Logistics Management Software in Riyadh.pdf
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfComplete Guide to Advanced Logistics Management Software in Riyadh.pdf
Complete Guide to Advanced Logistics Management Software in Riyadh.pdf
Software Company
 
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfThe Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
Abi john
 
Into The Box Conference Keynote Day 1 (ITB2025)
Into The Box Conference Keynote Day 1 (ITB2025)Into The Box Conference Keynote Day 1 (ITB2025)
Into The Box Conference Keynote Day 1 (ITB2025)
Ortus Solutions, Corp
 
TrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business ConsultingTrsLabs - Fintech Product & Business Consulting
TrsLabs - Fintech Product & Business Consulting
Trs Labs
 

Microsoft Azure Data Factory Data Flow Scenarios

  • 1. Azure Data Factory Visual Data Flow Limited Preview December 2018
  • 5. ADF Data Flow Workstream Data Sources Staging Transformations Destination Sort, Merge, Join, Lookup … • Explicit user action • User places data source(s) on design surface, from toolbox • Select explicit sources • Implicit/Explicit • Data Lake staging area as default • User does not need to configure this manually • Advanced feature to set staging area options • File Formats / Types (Parquet, JSON, txt, CSV …) • Explicit user action • User places transformations on design surface, from toolbox • User must set properties for transformation steps and step connectors • Explicit user action • User chooses destination connector(s) • User sets connector property options