Data structure. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks.
For example, B-trees are particularly well-suited for implementation of databases, while compiler implementations usually use hash tables to look up identifiers. Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory. Overview Many others are possible, but they tend to be further variations and compounds of the above.
Basic principles Language support Data model. In software engineering, the term data model is used in two related senses.
In the sense covered by this article, it is a description of the objects represented by a computer system together with their properties and relationships; these are typically "real world" objects such as products, suppliers, customers, and orders. In the second sense, covered by the article database model, it means a collection of concepts and rules used in defining data models: for example the relational model uses relations and tuples, while the network model uses records, sets, and fields. Entity–relationship model. An entity–relationship diagram using Chen's notation.
Cardinality (data modeling) In database design, the cardinality or fundamental principle of one data table with respect to another is a critical aspect.
The relationship of one to the other must be precise and exact between each other in order to explain how each table links together. Search engine optimization. As an Internet marketing strategy, SEO considers how search engines work, what people search for, the actual search terms or keywords typed into search engines and which search engines are preferred by their targeted audience.
Optimizing a website may involve editing its content, HTML and associated coding to both increase its relevance to specific keywords and to remove barriers to the indexing activities of search engines. Promoting a site to increase the number of backlinks, or inbound links, is another SEO tactic. The plural of the abbreviation SEO can also refer to "search engine optimizers", those who provide SEO services. History Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag, or index files in engines like ALIWEB. Backlink. Backlinks, also known as incoming links, inbound links, inlinks, and inward links, are incoming links to a website or web page.
In basic link terminology, a backlink is any link received by a web node (web page, directory, website, or top level domain) from another web node. Inbound links were originally important (before the emergence of search engines) as a primary means of web navigation; today, their significance lies in search engine optimization (SEO).
The number of backlinks is one indication of the popularity or importance of that website or page (for example, this is used by Google to determine the PageRank of a webpage). Backlinks: What are they and How You Can Use Them - The Code Post. Backlinks are simply links from one webpage or web content to your page or website.
They are also known as incoming links, inbound links, inlinks or inword links. Backlinks are essential in today’s Internet and you need to know what it means and how you can implement it properly to score SEO points. If you are looking for more SEO terms to master you can also be my guest. After reading this you may want to go through a basic SEO guide. You should also remember that like spammy content, backlinks should also not be abused. Backlinks – Simplified Backlinks were very important in the initial days of the Internet, before the search pages came into existence. Microdata (HTML)
Microdata is a WHATWG HTML specification used to nest metadata within existing content on web pages. Search engines, web crawlers, and browsers can extract and process Microdata from a web page and use it to provide a richer browsing experience for users.
Search engines benefit greatly from direct access to this structured data because it allows search engines to understand the information on web pages and provide more relevant results to users. Microdata uses a supporting vocabulary to describe an item and name-value pairs to assign values to its properties. Microdata is an attempt to provide a simpler way of annotating HTML elements with machine-readable tags than the similar approaches of using RDFa and microformats. Microdata vocabularies provide the semantics, or meaning of an Item. Web developers can design a custom vocabulary or use vocabularies available on the web. Here is the same markup with added Schema.org Microdata: Schema.org.
Sitemaps.org. Jump to: XML tag definitions Entity escaping Using Sitemap index files Other Sitemap formats Sitemap file location Validating your Sitemap Extending the Sitemaps protocol Informing search engine crawlers This document describes the XML schema for the Sitemap protocol.
The Sitemap protocol format consists of XML tags. All data values in a Sitemap must be entity-escaped. The file itself must be UTF-8 encoded. The Sitemap must: Begin with an opening <urlset> tag and end with a closing </urlset> tag. All other tags are optional. Also, all URLs in a Sitemap must be from a single host, such as www.example.com or store.example.com. Sample XML Sitemap The following example shows a Sitemap that contains just one URL and uses all optional tags. <? Also see our example with multiple URLs. XML tag definitions The available XML tags are described below.