Definition on Talend Data Fabric
Talend data fabric is an integration environment that allows the business to transform, collect, share and govern data. It also allows us to connect or integrate multiple or more sources of data, types, and locations, with the method that helps us access the data. In short, we can consider data fabric as a large space that helps and enables us to integrate multiple data sources; by the helps of this, we can easily store and manage the process as it moves within the large space in data fabric. Also, this transform data can be further shared or accessed by the external or internal applications for different types of use within organizations. In the coming section of the tutorial, we will better understand the internal working, its architecture, and implementation for better clarity to beginners.
What is Talend data fabric?
As we have already discussed data fabric in the previous section, It is an environment that helps us or businesses to govern, transform, and store data; it is basically an integration environment. Let’s take a closer look at talend data fabric what it basically does to have a better sense of clarity about it; see below;
1) It supports real-time, batch, big data use cases.
2) It provides us data integration and data ingestion environments or capabilities between the applications and different types of data sources as well.
3) It also supports data sharing within external or internal applications via API support.
4) It can manage multiple environments, including numerous clouds, hybrid, or both.
5) It can connect any data source using connectors and components, also removing the need for coding.
This all basic things that it does; it will give us a basic idea about what data fabric basically does.
Talend data fabric -Security Architecture
In this section, we will discuss about the architecture of talend data fabric in detail, so let gets started with its explanation of each of them see below;
The talend data fabric architecture consists of the below applications;
1) Talend Management Console
2) Talend Pipeline Designer
3) Talend Data Preparation
4) Talend API Tester
5) Talend Data Inventory
6) Talend API Designer
7) Talend Data Stewardship
Talend Management Console: It is one of the applications of talend data fabric; it is a web-based application this allows us to access the data fabric components and application; it acts as a console here. It also allows us to access the configurations and administrative features that are present. It allows users to schedule the execution of jobs with the help of discrete components, which are often known as execution engines. It consists of two types of engines which are mentioned below;
1) Cloud Engines: These are the managed components controlled by the Talend platform itself.
2) Remote Engines: These are managed components managed by the customer at their end.
Talend Pipeline Designer: this is another application of data fabric architecture that allows the user to run and design their pipeline or data pipeline in the cloud. With the help of the talend pipeline designer, we can start the data pipeline directly, or we can schedule the talend management console as well. These data pipelines can be executed on both the Remote Engines and Cloud Engines engines.
Talend Data Preparation: This application from data fabric allows us or users to speed up and simplify their process of preparing the data for other tasks and analysis. It also allows users to share, remove, and create the datasets after these datasets can be incorporated into the Talend jobs with the Talend Studio.
Talend API Tester: This is another application of data fabric; as the name suggests, it helps the user to automatically generate the test cases from the API contracts we have. After that, it helps us group the test cases together to implement real-world examples. Also, it allows the user to integrate these test cases with the CI/CD process, which helps us ensure the quality.
Talend Data Inventory: This application of data fabric provides us with a different type of tools that helps in quality, dataset documentation, promotion, etc. This tool helps us identify the data silos in the data sources and helps us visualize shareable and reusable data assets easily.
Talend API Designer: As the name suggests, this application helps us design the APIs visually and collaboratively. After this, we can run the testing APIs, generating the reference documentation for further usage.
Talend Data Stewardship: This application from data fabric architecture allows the user to validate, solve conflicts that occur in data; also, it helps to identify the potential data integrity issues in the datasets.
Talend data fabric Analytics
As we have already seen in the tutorial, this talend data integration helps us store and transform data from different data sources. With the help of this, we can easily embrace cloud-based technologies with advanced analytics like Databricks, Spark, serverless computing, and Qubole. Moreover, the data we obtained from this can be easily and widely used for the analytical purpose for the organizations, which includes the advanced analytical for development, forecasting, sales, and marketing optimization.
As we have already seen its most of the features, let’s collect all of them, and a few are mentioned below;
1) It provides us with a single environment that helps collect and access the data irrespective of wherever it is located. Also, as discussed, it helps to eliminate the data silos.
2) Enabling unified and simpler data management, including data integration, governance, quality, faster access to the track-worthy data, etc.
3) Helps in reducing the legacy solution and infrastructure.
4) Support multi-cloud, on-premise, and hybrid also faster migration between these environments.
As the whole article is about the talend data fabric. Go through each section in detail to better understand its working, architecture, and implementation in detail to make it useful in your applications to integrate the data source from different locations, types, etc.
This is a guide to Talend Data Fabric. Here we discuss the definition, What is Talend data fabric, Security Architecture, features, etc., in detail. You may also have a look at the following articles to learn more –