Implementing the LOB and choosing the right data structure

In the financial industry, the efficiency and effectiveness of decision-making hinges on the ability to process real-time data swiftly and accurately. We will examine the essential task of retrieving and storing this data, laying the groundwork for how financial systems handle the vast amounts of data that course through their veins every second.

We are not just dealing with the sheer volume of data but also the velocity at which it arrives and changes. In the financial markets, prices and other market indicators can shift in microseconds, causing a cascade of effects across different instruments and markets. A system that is not well-equipped to handle such data at this speed can miss out on lucrative opportunities or even incur significant losses.

To keep pace with the ever-changing financial landscape, it’s crucial to design systems that can efficiently manage real-time data. This involves taking into account...