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Big Data Access Patterns

  • Nitin Sawant
  • Himanshu Shah
Chapter

Abstract

Traditionally, data was in text format and generally accessed using JDBC adapters from an RDBMS. Unstructured data like documents were accessed from document management systems (DMS) using simple HTTP calls. For performance, improvement concepts like caching were implemented. In the big data world, because the volume of data is too huge (terabytes and upwards), traditional methods can take too long to fetch data. This chapter discusses various patterns that can be used to access data efficiently, improve performance, reduce the development lifecycle, and ensure low-maintenance post-production.

Keywords

Data Access Access Pattern Business Intelligence Hadoop Distribute File System Social Media Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Nitin Sawant 2013

Authors and Affiliations

  • Nitin Sawant
    • 1
  • Himanshu Shah
    • 1
  1. 1.MaharastraIndia

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