"One Size Fits All": An Idea Whose Time Has Come and Gone?
By Jens-Peter Dittrich, Franz Färber, G. Graefe, H. Loeser, Wilfried Reimann, Harald Schöning. Datenbanksysteme für Business, Technologie und Web, 2011
369 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/18e55300f005f4b98d80326a4633fa963230d269
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ion Stoica
- Matei A. Zaharia
- Reynold Xin
- Scott Shenker
- A. Ghodsi
- Joseph E. Gonzalez
- M. Franklin
- Michael Armbrust
Citations in the corpus
- The Vertica Analytic Database: C-Store 7 Years Later (2012, background): “Experience has shown that the maintenance cost and additional implementation complexity of maintaining materialized views with aggregation and filter-ing is not practical in real world distributed systems.”
- Apache Spark (2016, background): “Even in the relational database world, the trend has been to move away from “one-size-fits-all” systems.(18) Unfortunately, most big data applications need to combine many different processing types.”
- Parallel data processing with MapReduce: a survey (2012, unknown): “data processing tools that are tailored for such problems [79, 50, 72].”