Big data tools for real time streaming
There are many big data tools that do real-time streaming analytics. They can be great alternatives for regular real-time systems, especially when volumes are large and high speeds are required.
As a reminder, the term big data is generally used to regroup tools that solve problems that are too complex to fit in memory The problems solved have three core characteristics: volume, variety, and velocity.
Big data tools are generally known for doing a lot of work in parallel computing. When writing non-optimized, regular Python code, the code will often pass data points one by one. Big data solutions solve this by treating data points in parallel on multiple servers. This approach makes big data tools faster whenever there is a lot of data, but slower when there is little data (due to the overhead of managing the different workers).
Big data tools are often relatively specific; they should only be used for use cases that have vast amounts...
