This paper is published in Volume-4, Issue-2, 2018
Area
Big Data Processing
Author
Athira Soman, Smitha Jacob
Org/Univ
St. Joseph's College of Engineering and Technology, Palai, Kerala, India
Pub. Date
20 April, 2018
Paper ID
V4I2-1934
Publisher
Keywords
Big data processing, Batch processing, Stream processing, Lambda architecture.

Citationsacebook

IEEE
Athira Soman, Smitha Jacob. Lambda architecture: Working, advantages limitations, and its applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Athira Soman, Smitha Jacob (2018). Lambda architecture: Working, advantages limitations, and its applications. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Athira Soman, Smitha Jacob. "Lambda architecture: Working, advantages limitations, and its applications." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

The amount of data we are now generating is astonishing. Data has also evolved dramatically in recent years, in type, volume, and velocity. There are several frameworks available for handling the big data applications. The Lambda Architecture is data processing framework that can handle both batch and stream processing. This paper gives an overview of the Lambda Architecture. Aside from a brief introduction to the Lambda Architecture, major current and envisaged fields of application, as well as advantages, and limitations of use are discussed.