As we grow our footprint globally, we’re gaining strong momentum in the UK. We recently added several fast-growing, London-based organizations to the Kong Enterprise community. These organizations are turning to Kong to help power their core business applications and accelerate application development as they shift to microservices-driven architectures.

Stitch is a very simple yet very powerful cloud service which connects to a diversity of data sources. It is a very user-friendly ingestion system and works in a very simple format. Stitch connects to the data sources, pulls the data and loads the data to a target. In this blog, I am going to connect to Amazon S3, read a file and load the data to Snowflake but first let’s understand few concepts of Stitch. For Stitch to work you need an Integration and a Destination.

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So far, in our blog series Data Integration Best practices, we have covered the different types of high-level and low-level problems occurring in data integration projects. We have also addressed the different types of integration, the systems that move data and even the pricing aspect of such a project. Ten articles later, we arrived at best practices moving forward. In this last chapter, we are going to talk about some tips that revolve around preparing for and running an integration project.

Talend Cloud is an Integration platform as a service (iPaaS) offering by Talend. It is a fully managed cloud option which has the capabilities of data integration, data stewardship, data preparation, API designer and Tester and Pipeline designer. These tools can be used for lightweight ETL and detecting the schema on the fly. One of the unique features of Talend Cloud is it provides both on premise and cloud execution environments.