The digitalization of businesses over the last decade has generated an abundance of data, all coming from various sources: social media, hardware sensors, customer management systems, operational systems, 3rd parties, etc. Data engineering refers to extracting, filtering, sampling, storing, transforming, and processing this data. When the storing and processing of data occurs in the cloud, this becomes referred to as cloud data engineering.
Depending on the degree of technology use of a company, terabytes and even petabytes (million GB) of data can be generated; efficiently using this data will require data engineering, and this is where Pifocal’s expertise can help.
Designing fault tolerant distributed systems with consensus algorithms. We have a hands on CEO!