Data Factory

 

Do you want a platform that can ingest both on-premises and cloud data?

Are you looking for a Data integration service?

We have the perfect antidote for you..!!

Have you heard about Data Factory?

No??

Okay, I’ll explain it..,

 Azure Data Factory is a data integration cloud service by Microsoft Azure. The data factory organizes and automates data movements and transformation. It is a managed service that is designed for complex hybrid extract-transform-and-load (ETL), and extract-load-and-transform (ELT), furthermore, it is also obtained in data integration operations.

Microsoft Azure provides a platform that permits all users to develop a workflow that can devour data from on-premises and the cloud as well. It can also, convert or filter data by adopting execute computing services like Hadoop.

Therefore, the aftermaths can be released to an on-premise or cloud data storage for BI applications to expand, it is called a Data factory.

Let us learn more about Data Factory..!!

 

 

What is Data Factory?

 

Azure Data Factory authorizes users to generate data-driven workflows to orchestrate the tendency of data between supported data stores and the process data.

The data factory will enable you to monitor and manage workflows using UI Mechanisms and programmatic mechanisms.

Data Factory is an entirely operated, serverless data integration solvent for preparing, transforming, and ingesting data at all levels. You can enable any organization in any industry to get used for various kinda cases such as Data engineering, migrating on-premises SSIS Packages to Azure, Analytics, Operational data integration, data ingesting, data warehouse, etc.

Moreover, if you have any SQL server integration service SSIS packages for on-premises data integration then can be run as it is in the Azure data factory. Subsequently, it will enable any developer to use Azure data factory for all the needs related to the data integration of an enterprise.

Key Components of Azure Data Factory

 

Do you want to know the key components of a Data factory?

Well, you just know the components to, get to know more.

Here are the top key components of ADF:

Datasets- they comprise data source configuration parameters at a finer phase. For instance- a table or file name, structure, etc.

Activities- it includes activities like Transformations and control flow operations, data transfer, etc.

Linked Services- in linked services, the configuration parameters for specific data sources are kept.  It also pertains to information like the server/database name, file, credentials, folder, and much further.

Pipelines- these are groups of activities that make sense. Every pipeline can retain oone or more activities. It compels pipeline scheduling and monitoring are several logically related operations susceptible.

Triggers- these are pipeline scheduling configurations that encompass configuration settings like Start/end dates, execution frequency, etc.

 

 

Why learn Azure Data Factory?

 

Now the question is why you should learn Data Factory.

What you will learn in Data Factory?

So here is the answer;

• You will learn to create pipelines.
• Learn the integration process of Azure data factory with Azure DevOps and GitHub.
• Get it to learn CI/CD Continuous integration and continuous delivery.
• Learn how to use pipelines and activities
• Creating datasets and linked services.
• Learn to transform data with mapping data flow and prepare data using wrangling data flow?
• Get to know various data flow activities and their uses.
• Learn the parameterization process of data sets and pipelines. Also, learn about triggers in Data Factory.
• Creating custom email notifications.
• Preface to Cosmos Db, Azure SQL, Azure Synapse Analytics, and Power BI.
• Comprehend Dynamics data masking in Azure SQL, learn materials for DP 203 Exam.
• Get to know about the key components of the azure data factory.
• Learn about incremental load and slowly changing dimensions.
• Secure your data with Data Factory.
• Learn to handle large volume data with Azure Data Factory.

 

 

Ending Notes

 

With Azure Data Factory, connect all data with the processing sources comprising SaaS services, file sharing, and further online services. Data factory service enables users to design data pipelines and later schedule them to move at certain intervals accordingly.

Azure Data Factory is an incredible tool for the instantaneous transition of Data Into the cloud. It provides exceptional data integration on-premises as well as in the cloud.

Ameliorate your time to insight by making it easier to connect with all the data sources. You can easily transform them at scale and you can also write the processed data in your chosen data store.

Learn Data Factory And up your skills..!!