title: Challenges in Scientific Data Management: Whats New in Scientific Data to DBMS: Challenges, Features, and Optimizations
author: Mohamed Eltabakh
description: Is an Assistant Professor of computer science at Worcester Polytechnic Institute. His research interest is in the broad area of Database Management Systems and Information Management. His work is in the areas of query processing and optimization, indexing techniques, and large-scale data analytics.He received his Ph.D from Purdue University in 2010
zlib_text: Zekrifa Djabeur Mohamed Seifeddine
  Intelligent Systems
  
  Dr. Zekrifa Djabeur 
  Mohamed Seifeddine
  Department of Computer 
  Science, Faculty of Mathematics 
  and Computer Science
  101 Currie St, Adelaide SA 
  5001, Australia 
  E-mail: dzekrifa@unisa.gq
  
  Preface
  Recent advances in the information and communication technologies are leading 
  to an exponential growth in the amount of data stored in databases. It has been 
  estimated that this amount doubles every 20 years. For some applications, this 
  increase is even steeper. Databases storing DNA sequence, for example, are dou-
  bling their size every 10 months. This growth is occurring in several applications 
  areas besides bioinformatics, like financial transactions, government data, envi-
  ronmental monitoring, satellite and medical images, security data and web. As 
  large organizations recognize the high value of data stored in their databases and 
  the importance of their data collection to support decision-making, there is a clear 
  demand for 