PPT-Data Warehousing COMP3017 Advanced Databases

Dr Nicholas Gibbins nmgecssotonacuk 20122013 Processing Styles OLTP 2 OnLine Transaction Processing Traditional workloads bread and butter processing Volumes of data. Allows us to do some computations in database and extract reduced data for further manipulation Relational Databases brPage 2br What do statisticians need to know about databases Understand the relevance of databases Have familiarity with the basic Meaning of Warehousing. A warehouse is a structure where goods are stored. Warehousing is one of activities in supply chain management. Warehousing is a . procedure. . or a . process. of storing goods within a storage facility. Vs. :. 2. Variety. Veracity. Value. We see increasing volumes of data, that grow at exponential rates:. 3. Volume. refers to the vast amounts of data generated every second. We are not talking Terabytes but . Dr Nicholas . Gibbins - . nmg. @ecs.soton.ac.uk. 2012-2013. Definitions. 2. Parallelism. An arrangement or state that permits several operations or tasks to be performed simultaneously rather than consecutively. Unit Contents. Section A: Database Basics. Section B: Database Tools. Section C: Database Design. Section D: SQL. Section E: Big Data. Unit 10: Databases. 2. Section A: Database Basics . Operational and Analytical Databases. Section A: Database Basics. Section B: Database Tools. Section C: Database Design. Section D: SQL. Section E: Big Data. Unit 10: Databases. 2. Section A: Database Basics . Operational and Analytical Databases. Life Without Databases: Lists. Lists are often sufficient for simple tasks. Not appropriate for complex information. Multiple lists lead to. Data redundancy. Data inconsistency. Duplicate data. Sorting issues . Distinguish between the physical and logical views of . data.. Describe how data is organized: characters, fields, records, tables, and . databases.. Define key fields and how they are used to integrate data in a database.. 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.. At CEVA our warehousing services enable our customers to concentrate on their core activities. We have the skills and experience to manage complex supply chains, multiple suppliers and warehousing a Meeting summary. Workgroup members . John Lumpkin, Chair BSC member, Blue Cross Blue Shield of North Carolina. Ken Copeland, BSC member, NORC. Caleb Alexander, Johns Hopkins Bloomberg School of Public Health. UNIT IV. DATABASE. A database is a . computarised. library used to store and organize data in such a way that information can be retrieved easily via a variety of search criteria.. The development of databases to handle the vast amount of molecular biological data is a fundamental task of bioinformatics.. University of California, Berkeley. School of Information. IS 257: Database Management. IS 257 – Fall 2015. Lecture Outline. Data . Warehouses. Introduction to Data Warehouses. Data Warehousing. (Based on lecture notes from . Provide timely customer service. Keep track of items so they can be found readily & correctly. Minimize the total physical effort & thus the cost of moving goods into & out of storage. Provide communication links w/ customers.