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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 ...

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