Data Engineering for Solution Architecture
In the internet and digitization era, data is being generated everywhere with high velocity and volume. Getting insight from these huge amounts of data at a fast pace is challenging. We need to innovate continuously to ingest, store, and process this data to derive business outcomes.
With the convergence of cloud, mobile, and social technologies, advancements in many fields such as genomics and life sciences are growing at an ever-increasing rate. Tremendous value is found in mining this data for more insight. Modern stream processing systems need to produce continual results based on data with high input rates at low latency.
The concept of big data refers to more than just the collection and analysis of data. The actual value for organizations in their data can be used to gain insight and create competitive advantages. Not all big data solutions must end in visualization. Many solutions such as Machine Learning (ML) and other predictive...
