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Chapter 9: E-Commerce Solutions (COMMERCE SERVERS)
Chapter 9: E-Commerce Solutions (COMMERCE SERVERS)

... Workflow automation. Content management software. Database and ERP (enterprise resource planning) integration modules. Proprietary and open application servers. Customer-service offerings with “800” number phone support integration. ...
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Spatial Query Languages
Spatial Query Languages

... management systems (RDBMS) is SQL. It is partly based on the formal query language, relational algebra (RA) and it is easy to use, intuitive, and versatile. Because SDBMSs are an example of an extensible DBMS and deal with both spatial and nonspatial data, it is natural to seek for an extension of S ...
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Lecture Slides

... can be used as a condition in the WHERE clause, allowing the selection of rows that are ‘like’ or match a pattern • A percent sign (%) can be used as a wildcard to match any possible character that might appear before and/or after the character(s) specified. • A _ is used to match a single character ...
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DAMA-Big Data (R)evolution Presentation

... Foundational Definition - NoSQL • NoSQL database, also called Not Only SQL, is an approach to data management and database design that's useful for very large sets of distributed data. • NoSQL seeks to solve the scalability and big data performance issues that relational databases weren’t designed t ...
IBM Netezza sample resume-2
IBM Netezza sample resume-2

... application enabled it to achieve 50 million TPH from 6 million TPH  Migration of a large scale finance application (includes migration, testing & performance tuning) from a competitive database to DB2 resulted in a USD 85 million win  Create DB2 competitive technical material, hands on labs & use ...
1 AND 1=1
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...  For true response – time delay is executed  For failed response – time delay is not executed  Read data byte by byte – exactly the same method with blind injection  First example by Chris Anley's paper – More advanced SQL Injection  Another example is in David Litchfield paper – Data Mining wi ...
XML DB Architecture
XML DB Architecture

...  Fast querying, manipulation using pure SQL  Deeply nested views are slow  Updating/inserting requires triggers  Lose strict order guarantee, no textual fidelity  Supports multiple XML schemas on top of one relational schema ...
Memory System Characterization of Commercial Workloads
Memory System Characterization of Commercial Workloads

... for database applications and the emergence of the Web, commercial workloads have quickly surpassed scientific/engineering workloads to become the largest market segment for multiprocessor servers. The dramatic change in the target market for shared-memory servers has yet to be fully reflected in th ...
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... attempts at providing a database model for large graph data, particularly social graphs and the Web graph. While, more and more commercial applications are looking towards graph databases for their dynamic schema and ease of use in storing more complex data. This paper will go through many of the cu ...
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Introducing the Java EE Platform

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Elmasri/Navathe, Fundamentals of Database Systems, Fourth Edition
Elmasri/Navathe, Fundamentals of Database Systems, Fourth Edition

... We can use a relational or object dbms to store whole XML documents as text fields within the dbms records or objects. This aproach can be used if the dbms has a special module for document processing, and would work for storing schemaless and document-centric XML documents. Using a dbms to store th ...
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IS 257: Database Management - Courses

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... reflect the individual ship configuration for certain critical systems. SRDs are organized by system. VTI Valve Type Index - The VTI is an computer based index that allows the user to search for valves by various methods. It is organized by valve type and valve size. This permits the user to search ...
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Hardware Sizing a Tabular Solution (SQL Server Analysis
Hardware Sizing a Tabular Solution (SQL Server Analysis

... Because query performance is best when the tabular solution fits in memory, RAM must be sufficient to store the entire database. Depending on how you plan to manage and use the database, additional memory up to two or three times the size of your database might be needed for processing, disaster rec ...
The SAS System for Data Warehousing
The SAS System for Data Warehousing

... unless the fonn of the target data source is altered. Next, a batch job is scheduled to initiate a SAS job step that uses the view descriptors to attach to the operational data. This is also where we have an opportunity to enhance data by combining it with other data, and perform additional data man ...
Using SQL Queries to Generate XML
Using SQL Queries to Generate XML

... The ISO-SQL 2003 standards include recommendations that specify how SQL can be used in conjunction with XML. The general approach is to structure SELECT queries that instruct the DBMS to return retrieved data values in XML format. These queries retrieve data as a text stream that includes data value ...
udf - Personify
udf - Personify

... be set up for many different types of records – Each UDF has an index and is tied to a UDF type (i.e. matter, client, timekeep, vendor, etc.) – For validated fields, it is easy to find the index number by pulling up a record in the master file ...
Tracking Specification Requirements Evolution: Database Approach
Tracking Specification Requirements Evolution: Database Approach

... [1] contains description of 31425 functions from 409 headers accompanied by more than 6088 constants and 3964 types required for their proper declaration [2]). Very often (especially when developing small applications) programmers prefer to rely on some tests performed after the program is completed ...
Interact: Gesture Recognition in the Cloud
Interact: Gesture Recognition in the Cloud

... reusable and commonly share functions that make it easier to develop FI applications. GEs are stored in a public catalogue that developers can browse and select the appropriate APIs to use. Interact is realized by means of cloud services communicating with each other through REST APIs [3]. It works ...
Developing archaeological database in Finland
Developing archaeological database in Finland

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The Definitive Guide to Graph Databases
The Definitive Guide to Graph Databases

... Developing with graph databases aligns perfectly with today’s agile, test-driven development practices, allowing your graph database to evolve in step with the rest of the application and any changing business requirements. Rather than exhaustively modeling a domain ahead of time, data teams can add ...
Table Design View - University of St Andrews
Table Design View - University of St Andrews

... side. So, according to the rules of the relational model, when we construct the module table there must be a field in the module table to hold the student ID. However, this would break the rules as well. The relationship between students and modules is a many-to-many relationship, which is not allow ...
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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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