Stacktics thrives in the pursuit of powerful implementation of data engineering. The effective process comprises designing and building systems to enable the collection and analysis of data from multiple sources and formats. These systems follow a common pattern known as ETL, or Extract, Transform and Load. A variation of ETL is ELT where transformation takes place after data has been loaded into the warehouse. The scalability of modern databases enables data transformation being performed effectively in-database, rather than elsewhere.
Data engineers rely heavily on APIs to exchange data and the multi-tenant platform becomes increasingly relevant for conducting big data related tasks.
APIs (Application Programming Interfaces) allow the client to access and manipulate data from the server through a request and response cycle. On the web, the main protocol used to govern the request and response cycle is the Hyper-Text Transfer Protocol, better known by its acronym, HTTP.
A single-tenant cloud platform has a single software instance and its supporting infrastructure and database serve only one customer. All customer data and interactions are separate from every other customer. Customer data is not housed in the same database and there’s no sharing of data in any way. On the other hand, a multi-tenant platform is one where a single software instance and database serves multiple customers. While the customers can only see their own data, the rest of the data lives in the same database and the same computer engine processes all the data. Multi-tenancy is at the heart of effective SaaS operations because it makes it easy to build and deploy applications faster and to scale those applications quickly. A multi-tenancy platform also provides efficient resource usage at a reduced cost due to shared users.
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