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Designing Distributed Data Warehouses and OLAP Systems
Designing Distributed Data Warehouses and OLAP Systems

... On the bottom tier we have operational databases set up for purposes that are of no particular interest for the data warehouse. However, we assume that the data stored in the data warehouse are extracted from these operational databases. In other words, the input of data into the data warehouse is d ...
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... Dimensional Modelling is a design concept used by many data warehouse desginers to build thier datawarehouse. In this design model all the data is stored in two types of tables - Facts table and Dimension table. Fact table contains the facts/measurements of the business and the dimension table conta ...
Chapter 14: Query Optimization
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... r 2 . . . r n.  There are (2(n – 1))!/(n – 1)! different join orders for above expression. With n = 7, the number is 665280, with n = 10, the number is greater than 176 billion!  No need to generate all the join orders. Using dynamic programming, the least-cost join order for any subset of {r1, r2 ...
Final Project Report
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... configuration that lets you model an actual device by defining hardware and software options to be emulated by the Android Emulator. You can create as many AVDs as you need, based on the types of device you want to model. To thoroughly test your application, you should create an AVD for each general ...
laudon_ess11e_ch06 - Mercer University Computer Science
laudon_ess11e_ch06 - Mercer University Computer Science

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... Write embedded SQL code within the host language instructions (先不要管 PL/SQL 相關部分) EXEC SQL SQL statement END-EXEC A preprocessor is used to transform the embedded SQL into specialized procedure calls that are DBMS-and-languagespecific. Compile the program using the host language compiler The object c ...
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State Management in .NET Web Services

... There are generally two kinds of state that might need to be saved on the server: session state and application state. Recent requests from a particular client process are often considered in the same session. Session state data is only visible within that particular session. The familiar shopping c ...
MTA Database - Certification Camps
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... This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables. Lessons  Understanding Joins  Querying with Inner Joins  Querying with Outer Joins  Q ...
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... Prior to importing a tag that refers to a specific manufacturer, the manufacturer needs to be in the “COMPONENT_MFR” table in InTools. Export this table to a spreadsheet and delete all columns except the one titled ‘CMPNT_MFR_NAME’. Add your list of manufacturers into this column and import to InToo ...
Database Operation On GPU - University of North Carolina
Database Operation On GPU - University of North Carolina

... Reduces a highly sparse matrix with N elements to a list of its M active entries in O(N) + M (log N) steps, ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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