Abstract
BI technologies are essential to running today's businesses and this technology is going through sea changes.
- Amazon EC2; http://aws.amazon.comGoogle Scholar
- Aster Data; http://www.asterdata.com.Google Scholar
- Bernstein, P. and Haas, L. Information integration in the enterprise. Commun ACM 51, 9 (Sept. 2008). Google ScholarDigital Library
- Chaudhuri, S. An overview of query optimization in relational systems. ACM PODS 1998. Google ScholarDigital Library
- Chaudhuri, S. and Dayal, U. An overview of data warehousing and OLAP technology. SIGMOD Record 26, 1 (1997). Google ScholarDigital Library
- Chaudhuri, S., Dayal, U. and Ganti, V. Database technology for decision support systems. IEEE Computer 34, 12 (2001). Google ScholarDigital Library
- Chaudhuri, S. and Narasayya, V. Self-tuning database systems: a decade of progress. In Proceedings of VLDB 2007. Google ScholarDigital Library
- Cloudera Enterprises; http://www.cloudera.comGoogle Scholar
- Dean, J. and Ghemawat, S. MapReduce: Simplified data processing on large clusters. In Proceedings of OSDI 2004. Google ScholarDigital Library
- DeWitt D.J. and Gray J. Parallel database systems: The future of high-performance database systems Commun. ACM 35, 6 (June 1992). Google ScholarDigital Library
- FAST Enterprise Search; http://www.fastsearch.comGoogle Scholar
- Google Search Appliance; http://www.google.com/enterprise/gsaGoogle Scholar
- Graefe, G. Query evaluation techniques for large databases. ACM Computing Surveys 25, 2 (June 1993). Google ScholarDigital Library
- Hadoop; http://hadoop.apache.orgGoogle Scholar
- IBM Cognos; http://www.ibm.comGoogle Scholar
- Isard et al. Dryad: Distributed data-parallel programs from sequential building blocks. In Proceedings of Eurosys 2001. Google ScholarDigital Library
- Microsoft SQL Server Analysis Services; http://www.microsoft.comGoogle Scholar
- Microsoft SQL Azure; http://www.microsoft.comGoogle Scholar
- Netezza; http://www.netezza.comGoogle Scholar
- Netz, A., Chaudhuri, S., Fayyad, U. and Bernhardt, J. Integrating data mining with SQL databases. OLE DB for Data Mining, 2001.Google Scholar
- Oracle Data Mining; http://www.oracle.comGoogle Scholar
- Oracle GoldenGate; http://www.oracle.comGoogle Scholar
- Oracle Hyperion; http://www.oracle.comGoogle Scholar
- QlikView; http://www.qlikview.comGoogle Scholar
- Pentaho; http://www.pentaho.comGoogle Scholar
- SAS: Business Analytics and Business Intelligence Software; http://www.sas.comGoogle Scholar
- SPSS: Data Mining, Statistical Analysis, Predictive Analytics, Decision Support Systems; http://www.spss.comGoogle Scholar
- Sarawagi, S. Information extraction. Foundations and Trends in Databases 1, 3 (2008), 261--377 Google ScholarDigital Library
- Streambase; http://www.streambase.comGoogle Scholar
- Sybase IQ; http://www.sybase.comGoogle Scholar
- Teradata; http://www.teradata.comGoogle Scholar
- Thusoo, A. et al. Hive---A warehousing solution over a MapReduce framework. VLDB 2009 Google ScholarDigital Library
Index Terms
- An overview of business intelligence technology
Comments