Pitfall of big databases

Thinking Big About Tiny Databases

Work on early tiny database systems, like TinyDB [17] and Cougar [23] has shown that a declarative approach can provide a powerful and easy to use interface for collecting data from static sensor networks. These early systems, however, have significant limitations; in particular, they are useful only for low-rate data collection applications on static sensor networks and they don’t integrate we...

From Databases to Big Data

Comparisons of Relational Databases with Big Data: a Teaching Approach

The paper's objective is to provide classification, characteristics and evaluation of available relational database systems which may be used in Big Data Predictions and Analytics. In addition, it provides a teaching approach from moving relational database to the Big Data environment. In this study, we try to answer the question of why Relational Database Bases Management Systems such as IBM’s...

Protein Databases

Proteins are sources of many peptides with diverse biological activity. Some of them are considered as valuable components of foods and drug targets with desired and designed biological activity. We are now entering an era rich in biological data in which the field of bioinformatics is poised to exploit this information in increasingly powerful ways. There are currently many databases all over ...

Editorial: A Study of Disaster Databases

The global investigation of disasters in recent years shows that their number has increased annually and the number of affected people and costs of disasters are increasing