 Hey guys, welcome to SSUNITEX, so till this side and today we are going to see the overview of the Azure Data Factory. In the last video we have seen about the introduction of Azure Data Factory. So here we will be going to discuss few basic concepts. Those are very important if you are going to start working with the Azure Data Factory. So let's get started. So what is pipeline? So a pipeline is a logical grouping of the activities. So what is the activity? First try to understand about the activity, then we will be going to see the pipeline. So what is the activity? So a activity in a pipeline defines the action to perform on your data. So what action you want to perform on your data, that is the activity and it could be inside the pipeline. So for example if you want to move the data from your SQL Server to Azure Blob Storage, so you can use the copy activity. So this is one of the activity by which we can move the data from any source to any destination and this is very similar to the control flow task inside the SSIS. So now try to understand about the pipeline. So as pipeline is a logical grouping of the activities that perform a unit of work. So together the activities in the pipeline perform a task. For example a pipeline can contain a group of activities that ingest data from Azure Blob and then run a hype query or hd inside cluster to partition the data. And this is very similar to the packages inside the SSIS. So as inside the SSIS we can create the package and where we can create the control flow and the data flow. So we can move the data. So inside the pipelines we can do the same thing. Next is the dataset. So what is the dataset? So dataset identify the data within the linked data stores. So what is the linked data stores we will be going to see later in this video. So here we can understand dataset identify the data which is the linked data store such as SQLTable, files, folders or any documents. So for example an azure storage linked service links a storage account to the data factory. So on that case an azure blob data sets represent the blob contains and the folder that contains the input blob to be processed. So we can directly say datasets are very similar to the connection managers inside the SSIS. So if you talk about the datasets then we can simply understand this is a type of the connection manager by which we can keep the information of the source and destination. Next is the linked services. So what is the link service? So link service as you can see here link service are very similar to the connection string inside the SSIS. So inside the connection string it will be going to keep the information of your source and destinations how we can connect with that. So in the link service it is the same thing. So here you can see the link service are very much like the connection strings which define the connection information. Wait for the service to connect to the external resources those could be the source or destination. Think of this way the dataset represent the structure of the data within the linked data stores and link service defines the connection of the data stores. So dataset will be going to store the actual data by the help of the linked service. So link service is needed to create the connection just like a connection string and after that dataset will be going to keep the data with the help of the link service. So thank you so much for watching this video. I hope you have the clear idea about the datasets, link service, pipelines and activities. In the next video we will be going to do the practical demo on the Azure Data Factory. See you in the next video.