Loading Data in Azure Data Factory What is
- Slides: 30
Loading Data in Azure Data Factory
What is Azure Data Factory? Azure Data Factory is a cloud service that orchestrates, manages, and monitors the integration and transformation of structured and unstructured data from on-premises and cloud sources at scale.
What is Azure Data Factory? I’d call it Paa. S
Most like…. SSIS DTS Informatica Between other cloud services and On Prem Sources, Destinations, Transformations
Is it just SSIS in the Cloud? 5
Another kind of MVP • Minimally Viable Product • Big Data Scenario • Emphasis on new tech, JSON based 6
Where Portal. azure. com New>Data+Analytics>Data Factory
Azure Pricing Cloud/On Prem Activities Data Movement Units https: //azure. microsoft. com/en-us/pricing/details/data-factory/ https: //azure. microsoft. com/en-us/documentation/articles/datafactory-copy-activity-performance/#cloud-data-movement-units
Data Movement Units The cloud data movement unit is a measure that represents the power (combination of CPU, memory and network resource allocation) of a single unit in the Azure Data Factory service that is used to perform a cloud-to-cloud copy operation. Configurable
Three Main Elements • Linked Services – Think Connection Managers • Datasets—Schemas Think mapping of Data Flows • Pipeline –Think Data Flows • Activities –Types of Data Flows 1 0
Getting around ADF Interface 1 1
Main Dev Environments • Author and Deploy (Portal) • Copy Data (Portal, preview) • Diagram • Monitor and Manage • Visual Studio 1 2
Author and Deploy 1 3
Copy Data (Wizardish) New Tab in Browser 1 4
Monitor and Manage New Tab in Browser 1 5
Diagram 1 6
Visual Studio Extension
JSON pronounced Jay-Sahn Java. Script Object Notation http: //json. org/
JSON is built on two structures: name/value • A collection of pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. { } • An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. [ ] Java. Script Object Notation http: //json. org
JSON in ADF, Dataset Example { "name": "On. Prem. Actor. Srce", "properties": { "published": false, "type": "Sql. Server. Table", "linked. Service. Name": "North. Wind. Stg", "type. Properties": { "table. Name": "Actor" }, "availability": { "frequency": "Day", "interval": 1 }, "policy": { "external. Data": { "retry. Interval": "00: 01: 00", "retry. Timeout": "00: 10: 00", "maximum. Retry": 3 } } }
JSON specific to ADF https: //msdn. microsoft. com/enus/library/azure/dn 835050. aspx
Data Gateways & ADF Supplies key Install Gateway on each On Prem resource (server, laptop, etc) A resource can only store one key for use by ADF, so that usually means there can be only data factory 2 2
Data Management Gateway Configuration Manager • • http: //www. microsoft. com/en-us/download/details. aspx? id=39717 • • For on prem machines. • The Gateway is for the entire server. The entire machine. The Linked service will use that gateway for other things and must be configured for each service i. e. Sql databases. • Be patient. Refresh rate is slow and can make it seem like it didn’t work when it did. Instructions on use: https: //azure. microsoft. com/en-us/documentation/articles/datafactory-move-data-between-onprem-and-cloud/#using-the-data-gateway-step-bystep-walkthrough Load the Gateway on the machine. Then go to the Azure Data Factory. Create the Linked Service Gateway there. Get the key from the ADF linked service, copy and paste it into the final step of the Gateway setup on the On Prem Machine.
Slices • • Each unit of data consumed and produced by an activity run is called a data slice. • "sql. Reader. Query": "$$Text. Format('select * from My. Table where timestampcolumn >= \'{0: yyyy-MM-dd HH: mm}\' AND timestampcolumn < \'{1: yyyy-MM-dd HH: mm}\'', Window. Start, Window. End)" They have Start. Time and End. Time and those are accessible to the pipeline activity via ADF System Variables:
Using Slices • http: //blogs. msdn. com/b/bigdatasupport/archive/2016/01/24/incremental-data-loadfrom-azure-table-storage-to-azure-sql-using-azure-data-factory. aspx 2 5
Visual Studio Extension • • • Azure SDK 2. 7 and above for Visual Studio 2013 You get templates You can reverse engineer You can connect to your factory and deploy from VS Came out JULY 22, 2015 ENABLES SOURCE CONTROL!
Resources • Simple SIMPLE tutorial. https: //azure. microsoft. com/enus/documentation/articles/data-factory-get-started/ • Wee Hyong Tok’s webcast https: //info. microsoft. com/Webnar-Introduction-to. Azure-Data-Factory. html • • Reza Rad’s blog http: //www. radacad. com/blog Understanding Azure Storage: https: //azure. microsoft. com/enus/documentation/videos/azure-storage-5 -minute-overview/
Loading ADL with ADF
Loading ADL with ADF https: //azure. microsoft. com/en-us/blog/creating-big -data-pipelines-using-azure-data-lake-and-azuredata-factory/
Loading ADL with ADF
- Azure sql data warehouse loading patterns and strategies
- Azure snowball equivalent
- Adf custom activity
- Azure data factory features
- Perbedaan granit single loading dan double loading
- Static vs dynamic class loading in java
- The impact factory
- Azure erdrich
- Confidential computing
- Azure sql data warehouse
- Mpp architecture azure
- Data modernization azure
- Azure storage replication
- Azure unstructured data
- Azure data catalog use cases
- Azure change data capture
- Azure sql analytics
- Introduction to azure ml
- Azure data studio extensions
- Azure data protection
- Data mart azure
- Azure data platform
- An average
- New-dlpcompliancerule
- Cold hot warm
- Azure data studio vs ssms
- Ffb loading ramp
- Static loading test adalah
- Different methods of size separation
- Simple key loader tm
- Xray dark room layout