Big Data Handling, Storage and Solutions
Andrea Ahlemeyer‐Stubbe, Shirley Yvonne Coleman · 2018
This chapter looks at the structure of data arising from and driving everyday business processes and then gives an overview of the technical aspects of storing and accessing data. Structured data includes transactional data, financial data, registration data and more; the characteristic is that it has a clear structure and is often organised in a relational database. Relational data storage systems were appropriate for transaction processing and gave the necessary security and reliability guarantees. Analysis-based information systems are systems that are necessary to store data and make it ready for analysis. The contents of a data warehouse can be characterised as having four main features, which reveal the significant differences to other operational data: topic orientation, logical integration and homogenisation, presence of a reference period and low volatility. The aim of both data warehouses and big data architecture is an enterprise-wide integration of all relevant data into a consistent set in a continuous system model.