PPT-Interactive Queries in Data Warehouses

Shreya What does Data Warehousing consist of Capturing data from diverse sources to analyze later usually for business intelligence Usually housed on an enterprise mainframe server moving towards cloud. berkeleyedu Aurojit Panda UC Berkeley apandacsberkeleyedu Barzan Mozafari MIT CSAIL barzancsailmitedu Anand P Iyer UC Berkeley apicsberkeleyedu Samuel Madden MIT CSAIL maddencsailmitedu Ion Stoica UC Berkeley istoicacsberkeleyedu ABSTRACT In this dem joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. Examples . of Ad Hoc . Databases. Automatic Example Queries . for Ad Hoc Databases. Bill . Howe. 1. , . Garret . Cole. 2. , . Nodira. . Khoussainova. 3. , . Leilani. . Battle. 4. {. 1. billhowe, . CHAPTER 3. Hossein BIDGOLI. MIS. . MBNA. A not so perfect match. Hong Kong Airport. LO1. . Define a database and a database management system.. LO2. . Explain logical database design and the relational database model.. Magdalena . Balazinska. ,. Christopher . Ré. . and Dan . Suciu. University of Washington. One slide overview of motivation. Data are . uncertain. in many applications. Business: . Dedup. , Info. Extraction. in Large Data Sets. Kiri L. Wagstaff. Jet Propulsion Laboratory. kiri.wagstaff@jpl.nasa.gov. October 11, 2012. Joint work with . David R. Thompson (JPL), . Nina . Lanza. (Los Alamos National Lab),. Thomas G. . Action Queries. CS1100. 1. Advanced Queries. Action Queries. So far we have used queries to extract and view data. But can also be . used to create tables, perform data entry, modify records, etc. .. Adel . Nadjaran. . Toosi. Outline. Application models. Scheduling . Platform. Objectives . Constraints (Parameters. ). We conclude with an abstract!!. Application Models In Distributed Systems. Application Models. Chris Barnes, Warehouse Guru. 2. The following is intended to outline QAD’s general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, functional capabilities, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functional capabilities described for QAD’s products remains at the sole discretion of QAD.. Barzan. . Mozafari. (presented by Ivo D. Dinov). University of Michigan, Ann Arbor. Research Goals. Using statistics to build better data-intensive systems. Faster. How to query petabytes of data in seconds?. and Projects. ABDS in Summary XV: Level 15.  . I590 Data Science Curriculum. August 15 2014. Geoffrey Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Statistical Databases. Li . Xiong. Today. Statistical . databases. Definitions. Early query restriction . methods. Output perturbation and differential privacy. Statistical Data Release. Age. City. Diagnosis. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand : . Your partner with the best complete package. .. Business fields and service portfolio. IATA direct transportations. Own consolidation products. Part and full charter projects. FCL and LCL transportation.