Latest Computer Science Technoloy


List of Topics
  The importance of NoSQL Databases
  The importance of In-memory Databases
  Data Partitioning
  The importance of Pagination in Web content
  Content Management System (CMS)
  WebDNA - Scripting Language and Database System
  WebSphere Application Server


 HTML5 is a markup language for structuring and presenting content for the World Wide Web, and is a core technology of the Internet originally proposed by Opera Software. It is the fifth revision of the HTML standard (created in 1990 and standardized as HTML4 as of 1997) and, as of June 2012, is still under development. Its core aims have been to improve the language with support for the latest multimedia while keeping it easily readable by humans and consistently understood by computers and devices (web browsers, parsers, etc.). HTML5 is intended to subsume not only HTML 4, but XHTML 1 and DOM Level 2 HTML as well.

 HTML or Hypertext Markup Language is a formatting language that programmers and developers use to create documents on the Web. The latest edition HTML5 has enhanced features for programmers such as <video>, <audio> and <canvas> elements. You view a Web page written in HTML in a Web browser such as Internet Explorer, Mozilla Firefox or Google Chrome. The HTML5 language has specific rules that allow placement and format of text, graphics, video and audio on a Web page. Programmers use these programming tags or elements to produce web pages in unique and creative ways. Tags such as <section>, <article>, <header> enable the creator to make a more efficient and intelligent web page. Users will not have to use a Flash plug-in for video and audio content. Visual Studio users typically write code in HTML5 when creating web site content.

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The importance of NoSQL Databases..

 In computing, NoSQL (sometimes expanded to "not only SQL") is a broad class of database management systems that differ from the classic model of the relational database management system (RDBMS) in some significant ways, most important being they do not use SQL as their query language. These data stores may not require fixed table schemas, usually avoid join operations, and typically scale horizontally. Academic researchers typically refer to these databases as structured storage, a term that includes classic relational databases as a subset.

 NoSQL databases are categorized according to the way they store the data and it falls under categories such as Key-Value stores, BigTable Implementations, Document-Store databases and Graph Database. NoSQL database systems rose alongside major internet companies, such as Google, Amazon, Twitter and Facebook which had significantly different challenges in dealing with data that the traditional RDBMS solutions could not cope with.[citation needed] With the rise of real-time web there was a need to provide curated information out of large volumes of data which more or less followed similar horizontal structures. These companies realized that performance and real time nature was more important than consistency, which traditional relational databases were spending a high amount of processing time to achieve.

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The importance of In-memory Databases..

 It has been predicted that in memory computing will be one of the Top 10 technologies of 2012.

 An in-memory database (IMDB; also main memory database system or MMDB) is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems which employ a disk storage mechanism. Main memory databases are faster than disk-optimized databases since the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory reduces the I/O reading activity when querying the data which provides faster and more predictable performance than disk. In applications where response time is critical, such as telecommunications network equipment and mobile ads networks, main memory databases are often used.

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Data Partitioning..

 Data Partitioning is the formal process of determining which data subjects, data occurrence groups, and data characteristics are needed at each data site. It is an orderly process for allocating data to data sites that is done within the same common data architecture.
Data Partitioning is also the process of logically and/or physically partitioning data into segments that are more easily maintained or accessed. Current RDBMS systems provide this kind of distribution functionality. Partitioning of data helps in performance and utility processing.
Data Partitioning can be of great help in facilitating the efficient and effective management of highly available relational data warehouse. But data partitioning could be a complex process which has several factors that can affect partitioning strategies and design, implementation, and management considerations in a data warehousing environment.
A data warehouse which is powered by a relational database management system can provide for a comprehensive source of data and an infrastructure for building Business Intelligence (BI) solutions. Typically, an implementation of a relational data warehouse can involve creation and management of dimension tables and fact tables. A dimension table is usually smaller in size compared to a fact table but they both provide details about the attributes used to describe or explain business facts. Some examples of a dimension include item, store, and time. On the other hand, a fact table represents a business recording like item sales information for all the stores. All fact table need to be periodically updated using data which are the most recently collected from the various data sources.
Since data warehouses need to manage and handle high volumes of data updated regularly, careful long term planning is beneficial. Some of the factors to be considered for long term planning of a data warehouse include data volume, data loading window, Index maintenance window, workload characteristics, data aging strategy, archive and backup strategy and hardware characteristics
There are two approaches to implementing a relational data warehouse: monolithic approach and partitioned approach. The monolithic approach may contain huge fact tables which can be difficult to manage.
There are many benefits to implementing a relational data warehouse using the data partitioning approach. The single biggest benefit to a data partitioning approach is easy yet efficient maintenance. As an organization grows, so will the data in the database. The need for high availability of critical data while accommodating the need for a small database maintenance window becomes indispensable. Data partitioning can answer the need to small database maintenance window in a very large business organization. With data partitioning, big issues pertaining to supporting large tables can be answered by having the database decompose large chunks of data into smaller partitions thereby resulting in better management. Data partitioning also results in faster data loading, easy monitoring of aging data and efficient data retrieval system.
Data partitioning in relational data warehouse can implemented by objects partitioning of base tables, clustered and non-clustered indexes, and index views. Range partitions refer to table partitions which are defined by a customizable range of data. The end user or database administrator can define the partition function with boundary values, partition scheme having file group mappings and table which are mapped to the partition scheme.

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Partition (database) - Wikipedia, the free encyclopedia
Partitioning in Postgresql
Partitioning a SQL Server Database Table


The importance of Pagination in Web content..

image for Pagination
          On the Internet, pagination is used for such things as displaying a limited number of results on search engine results pages, or showing a limited number of posts when viewing a forum thread. Pagination is used in some form in almost every web application to divide returned data and display it on multiple pages. Pagination also includes the logic of preparing and displaying the links to the various pages.
Pagination can be handled client-side or server-side. Server-side pagination is more common. Client-side pagination can be used when there are very few records to be accessed, in which case all records can be returned, and the client can use JavaScript to view the separate pages. By using AJAX, hybrid server/client-side pagination can be used, in which Javascript is used to request the subsequent page which is loaded and inserted into the Document Object Model via AJAX.
Server-side pagination is appropriate for large data sets providing faster initial page load, accessibility for those not running Javascript, and complex view business logic
Correctly implementing pagination can be difficult. There are many different usability questions such as should "previous" and "next" links be included, how many links to pages should be displayed, and should there be a link to the first and last pages. Also ability to define the number of records displayed in a single page is useful.

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The importance of Content Management System (CMS)..

 A content management system (CMS) is a system providing a collection of procedures used to manage work flow in a collaborative environment. These procedures can be manual or computer-based. The procedures are designed to do the following:
  • Allow for a large number of people to contribute to and share stored data
  • Control access to data, based on user roles (defining which information users or user groups can view, edit, publish, etc.)
  • Aid in easy storage and retrieval of data
  • Control of data validity and compliance
  • Reduce repetitive duplicate input
  • Improve the ease of report writing
  • Improve communication between users

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WebDNA: an incredibly flexible scripting language and database system..

 WebDNA is a FREEWARE; it is an easy to learn server-side scripting language specifically designed for the World Wide Web, with an embedded hybrid in-memory database system. It allows to easily build database-driven websites.

 WebDNA is a general-purpose server-side scripting language and database system designed for web development to produce dynamic database-based web pages. For this purpose, WebDNA code is embedded into the HTML source document and interpreted by a web server with a WebDNA FastCGI processor, which generates the web page document. WebDNA allows the developer to build a wide range of applications, from very basic form-to-email to highly sophisticated database-driven intranet sites. Very easy to learn, a single easy to understand WebDNA instruction would replace complex php or asp code. A developer can typically complete 3 WebDNA sites in the time it takes to achieve one with php or asp.

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WebSphere Application Server ..

 WebSphere Application Server delivers a faster, more flexible development environment along with intelligent management capabilities for enhanced resiliency.

 WebSphere Application Server provides a fast, flexible and simplified environment for application development and administration along with new intelligent management capabilities for enhanced resiliency. From business critical and key enterprise-wide applications to the smallest departmental level applications, WebSphere Application Server offers the highest levels of reliability, availability, security and scalability.

A scalable application foundation that can go from single server to moderately sized departmental configurations to large-scale, dynamic web applications requiring web tier clustering and fail over across multiple application server instances.

    Optimize developer productivity and web application deployment with the new
Liberty Profile option, an ultra lightweight, fast starting, highly composable
application server profile.

    Improve productivity and resiliency while gaining interruption free rollout
without incurring outages to your end users with Application Edition Management

    Realize higher application availability to end users with new Application
Health Management that monitors the status of your application servers and
senses and responds to problem areas before end users suffer and outage.

    Improve business results by ensuring priority is given to business critical
applications with new Intelligent Routing features that prioritizes and routes
requests based upon administrator defined rules.

    Handle spikes in demand and dynamically provision and start and stop new
instance of application server Java Virtual Machines (JVMs) based on workload

    Gain higher quality of service by leveraging a common Java infrastructure
for OLTP and batch applications with new Enterprise Batch Workload support that
can be executed across multiple Java EE environments.

    Developer tool options to match project development needs, support for Java
7,and OSGi, enhanced Migration Toolkit support, Support for the Web 2.0 and
Mobile Toolkit

    A variety of pricing alternatives, including socket-based pricing

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