Towards Scalable Architectures for Clickstream Data Warehousing

  • Peter Alvaro
  • Dmitriy V. Ryaboy
  • Divyakant Agrawal
Conference paper

DOI: 10.1007/978-3-540-75512-8_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4777)
Cite this paper as:
Alvaro P., Ryaboy D.V., Agrawal D. (2007) Towards Scalable Architectures for Clickstream Data Warehousing. In: Bhalla S. (eds) Databases in Networked Information Systems. DNIS 2007. Lecture Notes in Computer Science, vol 4777. Springer, Berlin, Heidelberg

Abstract

Click-stream data warehousing has emerged as a monumental information management and processing challenge for commercial enterprises. Traditional solutions based on commercial DBMS technology often suffer from poor scalability and large processing latencies. One of the main problems is that click-stream data is inherently collected in a distributed manner, but in general these distributed click-stream logs are collated and pushed upstream in a centralized database storage repository, creating storage bottlenecks. In this paper, we propose a design of an ad-hoc retrieval system suitable for click-stream data warehouses, in which the data remains distributed and database queries are rewritten to be executed against the distributed data. The query rewrite does not involve any centralized control and is therefore highly scalable. The elimination of centralized control is achieved by supporting a restricted subset of SQL, which is sufficient for most click-stream data analysis. Evaluations conducted using both synthetic and real data establish the viability of this approach.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Peter Alvaro
    • 1
  • Dmitriy V. Ryaboy
    • 1
  • Divyakant Agrawal
    • 1
  1. 1.ASK.com, 555 12th Street, Suite 500, Oakland, CA 94607USA

Personalised recommendations