'The book would suit a bioinformatician wishing to gain an introduction into genome database querying and interaction.' Microbiology Today '... provides a step-by-step account of how most commonly-used databases are compiled and updated, their applications and practical examples of how to use them. It is suitable for graduates and advanced undergraduates in bioinformatics or biology, or any researcher intent on exploiting the capabilities of databases as research tools more fully.
The pace of change in the field of database technology seems to be constantly accelerating. No doubt in five year's time , Big Data and the Hadoop suite  will seem to be as old-fashioned as earlier technologies can appear to some people nowadays. Today there is a great variety of database technologies that are in use in different organisations for different purposes. There are also a lot of vendors, some of whom have more than one type of database product. I think that it is worthwhile considering both the genesis of databases and some of the major developments that have occurred between then and now.
Today, social networking tools and graph technology can accurately map and extract valuable insights from the relationships between various entities in a network. Networks can also be analysed by machine learning, a technique in which a computer can adapt its own algorithms. Modern manufacturing equipment has been advancing rapidly; plants are filled with sensors to monitor equipment performance. The number of sensors that allow devices to connect to the internet is growing and so too is the volume and complexity of data available to plant managers. The collection, storage and analysis of this data is vital in unlocking the benefits big data can provide.