Analytics & Integration via APIs using AWS in practice

Analytics & Integration via APIs using AWS in practice

To talk about Analytics and Integration in practice, we will explain the details in developing a solution ST IT Cloud.

This solution literally originated from a challenge, where it was necessary to work on the ingestion of different data sources, formats and different moments, in a data-based solution.

To deal with the challenge, we chose to create API's, that is, to facilitate the interconnection between these different sources of data to a data lake, to be processed into a pipeline data track. For the development of this project, which is quite complex, solutions were used AWS. 

These solutions work the data lifecycle in the best way and are essential for companies that need to optimize costs, guarantee security and increase reliability at scale.

Why AWS?

A ST IT Cloud specializes in Cloud solutions, and is a partner of AWS, which in turn has an architecture serverless in Data Lake that fits perfectly within the technical needs of the project. 

Our objective will always be to work with the best practices, through operational excellence, security, reliability, performance and cost optimization, based on AWS Well-Architected.

What are the solutions in practice?

We developed two architectures in partnership with AWS. Being them:

• Data Lake Architecture: Services were used AWS to provide features such as data submission, consumption processing, dataset management, data transformation and analysis, building and deploying Machine Learning, search, publish and view. This operational excellence consists of building an architecture entirely in code, which is what we call Infrastructure as code, where you can quickly implement new improvements, adjustments and have everything versioned.
• 
  Transactional Architecture: This architecture is the evolution of the Data Lake, it handles these events faster according to their ingestion, in a more asynchronous way, resulting in data optimization with more responsiveness and performance. In this case, the need was precisely to scale the solution to grow according to the business need.

Digital transformation uses data-based technology and intelligence and is essential for companies looking to increase performance, without giving up security and reliability. 

The solutions described here can be applied to different segments and needs. Making better use of the entire data journey and transforming it into business solutions is our challenge!   

Do you want to use technology and data intelligence to support the digitization of your company's processes? Invest in a solution in partnership with ST IT Cloud, we have a structured team and more than 12 years of experience in the market

comes with the ST IT Cloud!