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Simple tutorial for using JDBC
Simple tutorial for using JDBC

... statements to almost any relational database. JDBC is a Java API for executing SQL statements and supports basic SQL functionality. It provides RDBMS access by allowing you to embed SQL inside Java code. Because Java can run on a thin client, applets embedded in Web pages can contain downloadable JD ...
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relational calculus
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CQ: A P
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Metadata Standards for Data Warehousing: Open Information Model
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javaEE_L_004
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SQL Basics for RPG Developers
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Visual Basic and Databases
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Principles of Transaction-Oriented Database Recovery
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Oracle DBA / Oracle Parallel Server / Oracle Web
Oracle DBA / Oracle Parallel Server / Oracle Web

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Syllabus 2nd Year Onwards
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... Introduction and Concepts: Networks and commercial transactions – Internet and other novelties; networks and electronic transactions today, Model for commercial transactions; Internet environment – internet advantage, worlds wide web and other internet sales venues; Online commerce solutions. Securi ...
SSMS for Developers
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Sharded Parallel Mapreduce in Mongodb for Online Aggregation
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IOSR Journal of Computer Engineering (IOSR-JCE)
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... 2. Positive or “whitelist” input validation is also recommended as it helps protect against XSS, but is not a complete defense as many applications require special characters in their input. Such validation should, as much as possible, validate the length, characters, format, and business rules on t ...
Owner of the content within this article is www
Owner of the content within this article is www

CV - for Mehul A. Shah
CV - for Mehul A. Shah

... Finally, in the TelegraphCQ system, my doctoral dissertation focused on making parallel CQ dataflows – computations that analyze high-throughput streaming data in real time – highly available and automatically load-balancing. Energy-efficient database systems: My work in energy-efficiency is focused ...
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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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