What is the easiest way in order to integrate with multiple API’s?
Every organization must face difficult situations in creating an effective data management system across different platforms. Moreover, it restricts a company’s growth as they need enormous resources and a workforce to maintain these. Effective data management can easily break down the data silos to enhance visibility and connectivity.
Are you trying to integrate multiple APIs in order to build a data warehouse? Then this article is for you!
How to Integrate Multiple APIs to build a Data Warehouse?
What can be the challenges in order to integrate with the APIs?
At first, need to understand the challenges of integrating with the APIs. There are several factors in which we will discuss some of them.
Generally, one needs 4 -12 weeks to understand and integrate the system from one source into a data warehouse. So, you can know that the time taken for development is enormous.
A person is always needed to maintain the different versions of different APIs. In addition, there is continued upgrading that also creates some challenges. For example, if you integrated the API in 2021, there may be the addition of new fields or degradation of some old fields. Sometimes all together versions need to be replaced. So, there is a need for a person to take care of service and maintenance.
3) Separate logic for separate source
Every source has a separate logic to integrate with its own systems, and you have to create different integrations for different scenarios. So it is quite a difficult task to do.
What is the easiest way to integrate with Multiple APIs?
As we understand the problems, now we will discuss the easiest way to minimize all these things to bring data from multiple sources in simple steps. We can do this easily with the ETL tool, the Stitch data loader of Talend Company. The process is discussed below.
Custom Scripts by pulling data from multiple sources
There is a specific feature by which you can connect with more than 130 connectors. More than 130 applications and data connectors are also available for the destination. For example, Snowflake can be integrated with redshift, Delta Lake, and data place.
It will reduce the time for the integrations for the development. It is just like a plug-in feature to get connectivity with the sources. By this, you can even pull in the date to visualize it.
You can build custom scripts by pulling data from multiple sources. The orchestration is also very simple to pull the data in a specified time.
Secure to use:
You do not need to share your credentials to use this tool. It is a very secure tool to use. You can contact the developers if you have any questions regarding it.
How to integrate Stitch Data Loader?
It is straightforward to use this tool provided by Talend Company. First, you need to go to their website, which is available in SASS software, to select the connectors to pull the data.
We can take the example of Shopify. A Shopify connector is present in the tool where you can connect and then pass your store information to select the objects. It is the way to start the integration after the configuration by choosing some objects.
You can also select the date range to pull the data. You can write custom ETL scripts to load to the next level. You can use any transformations by directly using ETL in Python or other tools to integrate.
We discussed the whole process to integrate with multiple APIs through this Stitch Data loader. You can easily follow these steps to integrate all the data into a single source. It is the process by which you can integrate multiple APIs to build a data warehouse. Every process is straightforward to perform with the help of the tool.