Financial Data Engineering

Chapter 9. Data Transformation and Delivery Layer

By now, you should be familiar with the first two layers of the financial data engineering lifecycle: ingestion and storage. The next layer is the transformation and delivery layer, where two major things happen: first, the data undergoes a range of transformations, from basic preprocessing and cleaning to complex analytical calculations; second, the data is delivered to its end users following pre-established agreements. Keep in mind that all layers can impact one another based on business needs and technical limitations. As a result, the decisions you make in the ingestion and storage layers are likely to have an impact on this layer and vice versa.

Throughout this chapter, you will learn the essential concepts of data transformation and delivery and their applications in the financial domain. This includes data querying patterns, query optimization, transformations, computational requirements, data consumers, and delivery mechanisms.

Data Querying

The most common operation performed in the transformation and delivery layer is data querying. Before making any modifications, data is always queried. The performance of a financial data infrastructure is largely dependent on querying patterns and optimization. Therefore, as a financial data engineer, you will play a vital role in defining and optimizing the querying needs and patterns for your team and data consumers. Let’s find out how.

Querying Patterns

A data querying pattern ...