572 - Data Warehousing (MSc/6+), Literatur

Allgemeine Literatur:

Weiterführende Literatur:

  • Abadi et al. 2008:
    D.J. Abadi, S.R. Madden, N. Hachem: Column-Stores vs. Row-Stores: How Different Are They Really?. In J. T.-L. Wang (ed.): Proc. of the ACM SIGMOD Int'l Conf. on Management of Data, SIGMOD 2008. Vancouver, BC, Canada, June 2008
  • Ahuja et al. 2009:
    M. Ahuja, C.C. Chen, R. Gottapu, J. Hallmann, W. Hasan, R. Johnson, M. Kozyrczak, R. Pabbati, N. Pandit, S. Pokuri, K. Uppala: Peta-scale Data Warehousing at Yahoo!. In U Cetintemel, D. Kossmann, S. Zdonik (eds.): Proc. of the 35th SIGMOD Int'l Conf. on Management of Data, Providence, RI, June 2009
  • Bello et al. 1998:
    R.G. Bello, K. Dias, A. Downing, J. Feenan, W.D. Norcott, H. Sun, A. Witkowski, M. Ziauddin: Materialized Views in Oracle. Proc. 24th Int'l Conf. on Very Large Data Bases (VLDB), New York, NY, August 1998
  • Binzegger et al. 2008:
    B. Binzegger Ruoss, A. Geppert, F. Stroh: Informationslogistikarchitekturen am Beispiel der Credit Suisse. In B. Dinter, R. Winter (eds.): Integrierte Informationslogistik. Springer-Verlag, Berlin Heidelberg, Februar 2008
  • Blunschi et al. 2011:
    L. Blunschi, C. Jossen, D. Kossmann, M. Mori, K. Stockinger: Data-Thirsty Business Analysts need SODA - Search Over DAta Warehouse. Proc. 20th ACM Conf. on Information and Knowledge Management (CIKM), Glasgow, Scotland, October 2011
  • Borthakur et al. 2011:
    D. Borthakur, J. Gray, J.S. Sarma, K. Muthukkaruppan, N. Spiegelberg, H. Kuang, K. Ranganathan, D. Molkov, A. Menon, S. Rash, R. Schmidt, A.S. Aiyer: Apache Hadoop goes realtime at Facebook. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data, Athens, Greece, June 2011, pages 1071-1080
  • Codd et al. 1993:
    E.F. Codd, S.B. Codd, C.T. Salley: Providing OLAP (On-line Analytical Processing) to User-Analysts: An IT Mandate. E.F. Codd & Associates, 1993
  • Dean et al. 2004:
    J. Dean, S. Ghemawat: MapReduce: Simplified Data Processing on Large Clusters. 6th Symposium on Operating System Design and Implementation (OSDI 2004), December 2004, San Francisco, CA, pages 137-150
  • Duhigg 2012:
    C. Duhigg: How Companies Learn Your Secrets. New York Times, February 16, 2012
  • English 1999:
    L.P. English: Improving Data Warehouse and Business Information Quality. Methods for Reducing Cost and Increasing Profits. John Wiley & Sons, New York, NY, 1999
  • Few 2006:
    S. Few: Information Dashboard Design: The Effective Visual Communication of Data. O'Reilly Media, 2006
  • Few 2009:
    S. Few: Now you see it. Simple Visualization Techniques for Quantitative Analysis. Analytics Press, Oakland, CA, 2009
  • Giebler et al. 2020: C. Giebler, C. Gröger, E. Hoos, R. Eichler, H. Schwarz, B. Mitschang: Data Lakes auf den Grund gegangen. Data Lakes auf den Grund gegangen. Datenbank-Spektrum 20:1, 2020, pages 57-69
  • Gray et al. 1995:
    J. Gray, A. Bosworth, A. Layman, H. Pirahesh. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals. Proc. 12th Int'l IEEE Conf. on Data Engineering (ICDE), New Orleans, February/March 1996
  • Hernandez & Stolfo 1998:
    M.A. Hernandez, S.J. Stolfo. Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem. Data Mining and Knowledge Discovery 2:1, January 1998.
  • Howson 2008:
    C. Howson: Successful Business Intelligence: Secrets to Making BI a Killer App. McGraw Hill, New York, NY, 2008
  • Humby et al. 2003:
    C. Humby, T. Hunt, T. Phillips. Scoring Points: How Tesco Is Winning Customer Loyalty. Kogan Page, London, UK, October 2003
  • Imhoff et. al 2003:
    C. Imhof, N. Galemmo, J.G. Geiger: Mastering Data Warehouse Design. Relational and Dimensional Design. Wiley Publishing, Indianapolis, IN, 2003
  • Inmon 1995:
    B. Inmon. The Operational Data Store. InfoDB, February 1995
  • Inmon 2001:
    W.H. Inmon: Data Quality in the Corporate Information Factory. White Paper, Data Flux and BillInmon.com, October 2001
  • Jensen et al. 2010:
    C.S. Jensen, T. Bach Pedersen, C. Thomsen: Multidimensional Databases and Data Warehousing. Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 2010
  • Jossen et al. 2012:
    C. Jossen, L. Blunschi, D. Kossmann, M. Mori, K. Stockinger: The Credit Suisse Meta-Data Warehouse. Proc. 28th Int'l Conf. on Data Engineering (ICDE), Washington DC, April 2012
  • Jungclaussen 2010:
    J.F. Jungclaussen: Tesco der Eroberer. Die Zeit Nr 13, 25.3.2010
  • Kemper & Baars 2006:
    H.-G. Kemper, H. Baars: Business Intelligence und Competitive Intelligence: IT-basierte Managementunterstützung und markt-/wettbewerbsorientierte Anwendungen. In H. Heilmann, H.-G. Kemper, H. Baars (eds.): Business & Competitive Intelligence. HMD Praxis der Wirtschaftsinformatik, Heft 247, dpunkt.verlag, Heidelberg, Germany, Februar 2006
  • Manyika et al 2011:
    J. Manyika et al: Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute, May 2011
  • Marco 2000:
    D. Marco: Building and Managing the Meta Data Repository. A Full Lifecycle Guide. Wiley Computer Publishing, New York, NY, 2000
  • Medina & Trujillo 2002:
    E. Medina, J. Trujillo: A Standard for Representing Multidimensional Properties: The Common Warehouse Metamodel (CWM). Proc. 6th East European Conf. on Advances in Databases and Information Systems (ADBIS), Bratislava, Slovakia, September 2002
  • Mumick et al. 1997:
    I.S. Mumick, D. Quass, B.S. Mumick: Maintenance of Data Cubes and Summary Tables in a Warehouse. Proc. ACM SIGMOD Int'l Conf. on Management of Data, Tucson, AZ, May 1997
  • Naumann & Herschel 2010:
    F. Naumann, M. Herschel: An Introduction to Duplicate Detection. Synthesis Lectures on Data Management #3, Morgan & Claypool Publishers, 2010
  • Neckel & Knobloch 2005:
    P. Neckel, B. Knobloch: Customer Relationship Analytics. dpunkt.verlag, Heidelberg, Deutschland, 2005
  • Olson 2003:
    J.E. Olson: Data Quality. The Accuracy Dimension. Morgan Kaufmann Publishers, San Francisco, CA, 2003
  • Olston et al. 2008:
    C. Olston, B. Reed, U. Srivastava, R. Kumar, A. Tomkins: Pig Latin: A Not-So-Foreign language for data processing. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data, Vancouver, BC, Canada, June 2008, pages 1099-1110
  • OMG 2001:
    Common Warehouse Metamodel (CWM) Specification. Object Management Group, February 2001 (http://www.omg.org/technology/cwm/)
  • Oracle 2016:
    Oracle Database In-Memory with Oracle Database 12c Release 2. Technical Overview. Oracle White Paper, December 2016
  • Padmanabhan et al. 2003:
    S. Padmanabhan, B. Bhattacharjee, T. Malkemus, L. Cranston, M. Huras: Multi-Dimensional Clustering: A New Data Layout Scheme in DB2. In Proc. of the 2003 ACM SIGMOD Int'l Conf. on Management of Data. San Diego, CA, June 2003
  • Poess & Floyd 2000:
    M. Poess, C. Floyd: New TPC Benchmarks for Decision Support and Web Commerce. SIGMOD Record 29:4, December 2000
  • Sapia et al. 1998:
    C. Sapia, M. Blaschka, G. Hoefling, B. Dinter. Extending the ER Model for the Multidimensional Paradigm. Proc. Int'l Workshop on Data Warehouse and Data Mining, Singapore, 1998
  • Scannapieco et al. 2005:
    M. Scannapieco, P. Missier, C. Batini: Data Quality at a Glance. Datenbank-Spektrum 14, August 2005
  • Selvage 2013:
    M. Selvage: Decision Point for Logical Data Warehouse Implementation Style. Research ID G00250883, Gartner, May 2013
  • Shneiderman 2020:
    B. Shneiderman: Data Visualization’s Breakthrough Moment in the COVID-19 Crisis. Nightingale, The Journal of the Data Visualization Society, April 30, 2020
  • Thusoo et al. 2010a:
    A. Thusoo, Z. Shao, S. Anthony, D. Borthakur, N. Jain, J. Sen Sarma, R. Murthy, H. Liu: Data warehousing and analytics infrastructure at Facebook. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data. Indianapolis, IN, June 2010, pages 1013-1020
  • Thusoo et al. 2010b:
    A. Thusoo, J. Sen Sarma, N. Jain, Z. Shao, P. Chakka, N. Zhang, S. Anthony, H. Liu, R. Murthy: Hive - a petabyte scale data warehouse using Hadoop. Proc. of the 26th Int'l Conf. on Data Engineering, Long Beach, CA, March 2010, pages 996-1005
  • Tombros & Häberli 2001:
    D. Tombros, C. Haeberli: A Data Warehouse Architecture for Meteo Swiss: An Experience Report. Proc. 3rd Int'l Workshop on Design and Management of Data Warehouses. Interlaken, Switzerland, June 4, 2001
  • Tork Roth et al. 2001:
    M. Tork Roth, P.M. Schwarz, L.M. Haas. An Architecture for Transparent Access to Diverse Data Sources. In K.R. Dittrich, A. Geppert (eds.). Component Database Systems. Morgan Kaufmann, San Francisco, CA, October 2000
  • Trujillo et al. 2001:
    J. Trujillo, M. Palomar, J. Gomez, I.-Y. Song. Designing Data Warehouses with OO Conceptual Models. IEEE Computer, December 2001
  • Vetterli et al. 2000:
    T. Vetterli, A. Vaduva, M. Staudt: Metadata Standards for Data Warehousing: Open Information Model vs. Common Warehouse Metamodel. ACM SIGMOD Record 29:3, September 2000
  • Watson & Ariyachandra 2005:
    H.J. Watson and T. Ariyachandra: Data Warehouse Architectures: Factors in the Selection Decision and the Success of the Architectures. Technical Report, Terry College of Business, University of Georgia, Athens, GA, July 2005
  • Yan et al. 2001:
    L.-L. Yan, R.J. Miller, L.M. Haas, R. Fagin. Data-Driven Understanding and Refinement of Schema Mappings. Proc. ACM-SIGMOD Int'l Conf. on Management of Data, Santa Barbara, CA, May 2001
  • Zaharioudakis et al. 2000:
    M. Zaharioudakis, R. Cochrane, G. Lapis, H. Pirahesh, M. Urata: Answering Complex SQL Queries Using Automatic Summary Tables. Proc. ACM SIGMOD Int'l Conf. on Management of Data, Dallas, TX, May 2000
  • Zhang et al. 2015:
    H. Zhang, G. Chen, B. Chin Ooi, K.-L. Tan, M. Zhang: In-memory Big Data Management and Processing: A Survey. IEEE Trans. on Knowledge and Data Engineering 27:7, July 2015, pages 1920-1948