Data is the lifeblood of commerce. All organisations ingest increasing quantities of data from multiple sources and in different formats. All of this data must be turned into a useable format for analysis and consumption.
Good data engineering is critical to transform raw, shapeless data into a consistent structure, ready for use by data scientists and throughout the organisation. Data engineering is the first step towards turning data into knowledge and ultimately into business information.
As data increases in volume and complexity, all organisations need to develop a data architecture that is aligned to the business strategy and objectives. The aim of data engineering is to prepare the organisation to source, store, manage and distribute more data, without the need for frequent projects and with no interruption to business as usual.
