Algorithms and tools of big data: A bibliographic review

66 p.

Big data is among us, it’s present on all parts of our life and like time it’s never stops growing. Having in mind that all data will tend to become big data is necessary to change the customs ways of dealing for two simple reasons, the increase in the cost and the decrease of effectives. A quick glance in the evolution of data and information shows the leaders and the technologies that have been developing a way to work with big data, all this having as an essential factor the value given to the user.

INTRODUCTION 1. PROBLEM STATEMENT 2. OBJECTIVES 2.1 GENERAL OBJECTIVE 2.2 SPECIFICS OBJECTIVES 3. BIG DATA 3.1 THEORETICAL 3.2 UNSTRUCTURED DATA 3.3 METAHEURISTIC4. META ANALYSIS 4.1 REASON FOR FULL-TEXT ARTICLES EXCLUDED 4.2 INFORMATION SOURCES 4.3 STUDY SELECTION 4.4 SYNTHESIS OF RESULTS 4.5 RESULTS 5. OPEN FIELDS OF RESEARCH 5.1 BIG DATA SECURITY5.1.1 Common Techniques for Securing Big Data. 5.1.2 Threats for Big Data. 5.2 BIG DATA INFRASTRUCTURE 5.3. BIG DATA FOR BUSINESS 6. CONCLUSIONS REFERENCES