Designing big data solutions
Big data refers to copious amounts of incoming data being sourced from several sources. The major challenge here is that we need to aggregate these different representations of data and present them in a meaningful form so that they can be consumed by technical and non-technical persons alike.
We must employ tools and services that specialize in extracting, transforming, loading, and presenting the data for this challenge. When dealing with data from diverse sources with varying formats and velocities, it becomes crucial to establish a systematic approach for storing, integrating, filtering, and refining the data. This ensures we can efficiently work with the data and derive value from it for other operations. A clearly defined data management process is necessary to handle such scenarios effectively.
A typical data transformation process involves four steps:
- Ingestion: Data is acquired and brought into the big data environment. The data originates...
