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Most trusted JOB oriented professional program
DevOps Certified Professional (DCP)

Take your first step into the world of DevOps with this course, which will help you to learn about the methodologies and tools used to develop, deploy, and operate high-quality software.

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DevOps to DevSecOps – Learn the evolution
DevSecOps Certified Professional (DSOCP)

Learn to automate security into a fast-paced DevOps environment using various open-source tools and scripts.

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Get certified in the new tech skill to rule the industry
Site Reliability Engineering (SRE) Certified Professional

A method of measuring and achieving reliability through engineering and operations work – developed by Google to manage services.

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Master the art of DevOps
Master in DevOps Engineering (MDE)

Get enrolled for the most advanced and only course in the WORLD which can make you an expert and proficient Architect in DevOps, DevSecOps and Site Reliability Engineering (SRE) principles together.

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Gain expertise and certified yourself
Azure DevOps Solutions Expert

Learn about the DevOps services available on Azure and how you can use them to make your workflow more efficient.

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Learn and get certified
AWS Certified DevOps Professional

Learn about the DevOps services offered by AWS and how you can use them to make your workflow more efficient.

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What is Azure Data Factory?

Spread the Knowledge

Friends, in this blog I’m going to explain to you about Azure Data Factory, It is a service allowing companies to transform their big data from rational, non-rational to formulate companies’ strategies, where the job of ADF is to integrate the big data for using it with data-driven workflows that equip the companies to attain goals and drive the business value of the organization from the data that is stored on the Big data.

ADLA (Azure Data Lake Analytics ) is a highly-scalable batch data processing engine using a SQL-like declarative data flow language to prepare large amounts of data (stored mainly in ADLS Gen1, but also virtualizing SQL Server data and Azure Blob store data) and to provide users ways to scale out their custom code written in .NET or Python.

Advantages of using Azure Data Factory

  • It fetches the data from various sources and converts them into a format as per user want.
  • Azure Data factory connectors feature helps users to filter unwanted data. We can filter out the required data and remove the rest.
  • Its copy activity feature helps copy data between various data stores located on-premises and in the cloud platforms.
  • Azure Data Factory helps to promote excellent data management services.
  • Using Data Factory, data structures can be stored at several data warehouses. And not only that, we can move the data from one warehouse to another by just setting the triggers.

What is the pipeline in Azure Data Factory?

Finally, I let you know about pipelines in Azure Data Factory, It can have one or more pipelines, It is a logical grouping of activities that together perform a task. Now, you can understand through example, a pipeline could contain a set of activities that ingest and clean log data, and then kick off a mapping data flow to analyze the log data.

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