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What is Lambda Architecture

Handbook of Research on Big Data Storage and Visualization Techniques
A hybrid of real time and batch system for processing Big Data.
Published in Chapter:
Big Data Tools for Computing on Clouds and Grids
Forest Jay Handford (Affectiva Inc., USA)
DOI: 10.4018/978-1-5225-3142-5.ch006
Abstract
The number of tools available for Big Data processing have grown exponentially as cloud providers have introduced solutions for businesses that have little or no money for capital expenditures. The chapter starts by discussing historic data tools and the evolution to those of today. With Cloud Computing, the need for upfront costs has been removed, costs are continuing to fall and costs can be negotiated. This chapter reviews the current types of Big Data tools, and how they evolved. To give readers an idea of costs, the chapter shows example costs (in today's market) for a sampling of the tools and relative cost comparisons of the other tools like the Grid tools used by the government, scientific communities and academic communities. Readers will take away from this chapter an understanding of what tools work best for several scenarios and how to select cost effective tools (even tools that are unknown today).
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Evolving the Security Paradigm for Industrial IoT Environments
An architecture designed to deal with immutable data sets that grow over time (which is the nature of the security events being generated from the probes). The Lambda architecture encompasses both stream techniques for fast, time-window based event processing and batch processing techniques, which constitute a slow path for event processing, sifting through large volumes of data (stored in a large repository, such as a data lake) to search for trends or anomalous patterns.
Full Text Chapter Download: US $37.50 Add to Cart
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