structured data types examples

This predetermined data model enables easy entry, querying, and analysis. And while many people have more than one email address, they don't have an infinite number of email addresses. And broader elements, such as information about a company and even the members of its board of directors, can have structured data attached to them. These are the drawbacks of unstructured data: It requires data scientists to have expertise in preparing and analyzing the data, which could restrict other employees in the organization from accessing it. This is structured data because it is predefined and limited. If a company wants to take advantage of the benefits of structured data, it's important to create some sort of connection or mandate between the two groups. }, These formats also happen to be pretty human-readable as figure 1 shows. Dynamic data structure: In dynamic data structure, the size is not fixed. . Both thrive on a normalized vocabulary ideally, a controlled and hierarchically organized vocabulary. Structured data conforms to a tabular format with relationship between the different rows and columns. The typical structured data example: Excel spreadsheet that contains information about customers and purchases. transform: scalex(-1); containedInPlace: Hampstead, NH, USA, Its accessible to businesses and organizations for interpreting data. Static data structure: Static data structure has a fixed memory size. . Unstructured data may include documents, books, metadata, health records, images, audio, video, files, email messages, web . It is true that emails have some internal structure and might . . A structured data set for a pharmaceutical company is going to be different than the structured data set for a zoo. However, this is not always necessarily the case. Structured data is the information that can be measured easily and can be added into the easy-to-read reports without any further exploitation. StructType () can also be used to create nested columns in Pyspark dataframes. Beyond structured and unstructured data, there is a third category, which basically is a mix between both of them. Latitude: 40 deg 44 min 54.36 sec N The value is that it's then possible to do an analysis of orders that came from Germany. Data structures may be accessed as a collection of data or by the individual data items that comprise them. VARIANT can store any other data type, different values (in different key-value pairs) can have different underlying data types. Their benefits are tied to ease of use and access, while liabilities revolve around data inflexibility: Unstructured data, typically categorized as qualitative data, cannot be processed and analyzed via conventional data tools and methods. By using our site, you Unstructured data, by comparison, is not quite chaos but lacks the definitions that enable it to be confidently analyzed. Commerce, Analytics Take, for example, the country field in an online order form. This makes structured data extremely powerful: it is possible to quickly aggregate data from various locations in the database. businesses discover, interpret and act on emerging opportunities and If this country field was an open text box meaning that the person ordering needed to write in the country name this would be unstructured data. How was the word used? acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Full Stack Development with React & Node JS (Live), Fundamentals of Java Collection Framework, Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam. Structured data is data that adheres to a pre-defined data model and is therefore straightforward to analyse. This type of data is generated by both humans and machines. Today, this information can be processed by artificial intelligence algorithms and delivers huge value for organizations. That means the data used to train even the most sophisticated artificial intelligence systems must be as precise and unambiguous as possible to support an algorithm's ability to make such binary choices well. The programming language Structured Query Language (SQL) is used in a relational database to query to input and search within structured data., Examples of structured data include names, addresses, credit card numbers, telephone numbers, star ratings from customers, bank information, and other data that can be easily searched using SQL.. Therefore, you are likely to appear in a visual search since people can look for your recipe by cook time, ingredients, calorie count, and more. & Technology Companies, Transportation East, Nordics and Other Regions. Common examples of structured data are Excel files or SQL databases. Explore Bachelors & Masters degrees, Advance your career with graduate-level learning. Microdata is one form of structured data that works with HTML5. Beyond the product name, a URL for the image and a description, the site provides in-depth details in structured data, including the price, the SKU, stock information and customer reviews. This codelab walks you through adding several types of structured data to a simple HTML site, including where to place your structured data on a site and how to validate structured data. The relational model of this data format utilizes memory since it minimizes data redundancy. The result: Google appends structured data information to listings that include Target products (see red-boxed portion in the accompanying screen capture). Videos are unstructured because there is no way for a conventional computer to understand what the video is about. Examples of structured data include ZIP codes, phone numbers, and email addresses. Why? It can be relatively safe to assume that searching for a specific email address will provide a comprehensive and authoritative result. As a protocol for helping web pages describe themselves to search engines. # dataframe schema. This includes data like dates, phone numbers, and product SKUs. Recent projections indicate that unstructured data is over 80% of all enterprise data, while 95% of businesses prioritize unstructured data management. It is similarly unlikely that a pharmaceutical company will need a structured data element for maximum attendance, which would be very useful to a zoo. 7 Examples of Structured Data John Spacey, January 12, 2022 Structured data is information that has been formatted to be efficiently processed by machine. Pretty much everyone has dealt with booking a ticket via one of the airline reservation systems or withdrawing cash using an ATM. } More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. Let's see the schema for the above dataframe. Here's the code to make this new type: struct Person { char [40] name; int age; int height_in_cm; }; This code creates a variable called struct Person. How To Create A Countdown Timer Using JavaScript, SQL | Join (Inner, Left, Right and Full Joins), Introduction of DBMS (Database Management System) | Set 1, Data conforms to a data model and has easily identifiable structure, Data is stored in the form of rows and columns, Data is well organised so, Definition, Format and Meaning of data is explicitly known, Data resides in fixed fields within a record or file, Similar entities are grouped together to form relations or classes, Entities in the same group have same attributes, Easy to access and query, So data can be easily used by other programs, Data elements are addressable, so efficient to analyse and process, Structured data have a well defined structure that helps in easy storage and access of data, Data can be indexed based on text string as well as attributes. Service Management, Partner Semi-structured data comes in a variety of formats with individual uses. Share this page on Facebook Logically, we will be implementing an ordered collection of elements, and the operations that we'll be able to . A structured type is a user-defined data type containing one or more named attributes, each of which has a data type. Unstructured data is everything else, which is more difficult to categorize or search, like photos, videos, podcasts, social media posts, and emails. The organization of the table would be based on the clustering key as well. geo: { Another common storage format of structured data are comma separated value files (CSV). 2. A look into structured and unstructured data, their key differences and which form best meets your business needs. Understand customer needs at a deeper level to better serve them, Create more focused and targeted marketing campaigns, Track current metrics and create new ones, Create better product opportunities and offerings. There are many different types of qualitative data, like data in research, work, and statistics. The three main types of qualitative data are binary, nominal, and ordinal. What is semi-structured data? Even email has some unstructured aspect to it - basically all the text that follows a well-defined timestamp, from: and to . & Operational Security, Advertising and We're going to focus on a recipe site for our example because it's easy to test and includes several add-on features, like reviews and carousels. Data Lake vs. Data Warehouse: Whats the Difference? Structured data is used to describe information on both a local and global scale. Structured data refers to data that is quantitative and has an organizational structure understandable to both machines and humans. From a technical point of view, this is not a separate data structure, but it is one of the most important elements for Big Data analysis and big data solutions. Other than the structured and unstructured data, there is also semi-structured data which is a combination of both structured and unstructured data as it exhibits properties of both the structured and unstructured data. In addition to the text of the review, a rating . Over time, the machine learning algorithm would learn how to adjust its predictive analysis of the coming weekend's home sales when a heavy rain is factored into the weather forecast. fill:none; NetSuite has packaged the experience gained from tens of thousands of worldwide deployments over two decades into a set of leading practices that pave a clear path to success and are proven to deliver rapid business value. This article will guide you through structured and unstructured data and their differences. So, a new term is coined for such a huge volume of data that is generating at a rapid speed. Recent developments in artificial intelligence (AI) and machine learning (ML) are driving the future wave of data, which is enhancing business intelligence and advancing industrial innovation. Example of unstructured data A person might have attributes of name, address, and so on. Metadata ultimately enables semi-structured data to be better cataloged, searched and analyzed than unstructured data. This type of data only represents about 5-10% of the data pie, but has critical business usage cases when used in combination with structured and unstructured data. & Reporting, Customer Some are barely structured at all, while some have a fairly advanced hierarchical construction. Unstructured data is very much portable and scalable in nature. But they do not tell a complete story; there are other factors that impact home sales. 2022 Coursera Inc. All rights reserved. Data conforms to a data model and has easily identifiable structure Data is stored in the form of rows and columns Example : Database Data is well organised so, Definition, Format and Meaning of data is explicitly known Data resides in fixed fields within a record or file Similar entities are grouped together to form relations or classes From the supply chain that delivers goods to a store to the bar code scanned at the cash register, nearly every transaction is governed by structured data. This, of course, is where structured data shines, and why well-designed taxonomies are key to both machine learning and predictive modeling. There are components of structured data that are universal. It ensures that all orders from a particular country say Germany use the same spelling or code. There are more tools available for analyzing structured data than unstructured.. Most of the time relational databases (RDBMS) are used to store Structured data. Google has used the structured data on these pages to determine that they match the searcher's intent and awarded them the topmost position. "latitude": "40.75", & Logistics, Wholesale To tap into Google's rich snippet displays, big-box retailer Target.com uses structured data from the schema.org site to help search engines acquire the details about products. From a vacation resort that has "publicAccess" set to true to a database of articles showing which topics a news site's readers crave most, including structured data is a way of normalizing free-text content so that computers can make better use of it which means businesses can get more out of their analyses, and websites can improve their chances of increasing their prominence among online search results. Services Automation, Supply It can be human- or machine-generated. Its limited in storage options because its stored in systems like data warehouses with rigid schemas. To deploy a structured data set, it's critical to understand the industry to which the structured data will be applied. For example, if you deal with recipes, you can have structured data presented on your page. Choose the type of information you will mark up. Structured data can be . They might use machine learning techniques to improve the quality of data or product offerings. The ubiquitous bar code identifies not only the product but also the producer of the product. Structured data is typically stored and used with relational databases and data warehouses supported by SQL, which includes OLAP, MySQL, PostgreSQL, Oracle Database, and more. Footwear & Accessories, IT Structured data is a way for a company's website to convey its content information to search engines. . Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals. Our walk through the many elements of data structures continues with a look at the different types of data structures. Whether they appear at the top or further down a search results page, rich snippets are far more prominent and visible than standard results and thus have better click-through rates. The result was a system that required fewer people to run it and enabled development of new products: Division leaders could use the taxonomy to generate new websites by selecting different mixtures of existing content based on the taxonomy tags. Data analytics can help you in nearly every career field, but it can take you far in data science. Email combines highly structured data defined fields such as timestamps, senders and recipients with unstructured data fields such as the subject line and body text. Journals. Availability, Business E-mail this page. Of course, this data can still be stored, retrieved, and edited by other . Both qualitative and quantitative research are conducted through surveys and interviews, among other methods. Elements like addresses, hours, reviews and much more even physical dimensions of a product can be explicitly spelled out. How to Create a Bootable Pendrive using cmd(command-prompt)? #include <stdio.h> /* Created a structure here. . struct student { char firstName [20]; char lastName [20]; char SSN [9]; float gpa; }; Now you have a new datatype called student and you can use this datatype define your variables of student type: struct student student_a, student_b; or an array of students as struct student students [50]; Unstructured data, however, does not have a structural framework and consists of non-numerical data that . Keep reading to learn the basics of structured data (data located in a fixed field ) from what is structured data definition to how to use it.Plus, see real-life structured data examples to get ideas for how your company could use structured data for your site's SEO. To make this vast and diverse resource more usable, they created a structured data system called the MeSH (Medical Subject Heading) thesaurus. tab), Global Spreadsheet, Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL, Questioning, Decision-Making, Problem Solving, Metadata, Data Collection, Data Ethics, Sample Size Determination, Data Integrity, Data Calculations, Data Aggregation, Tableau Software, Presentation, R Programming, R Markdown, Rstudio, Job portfolio, case study. All the data that can be stored in a SQL database in a table having some rows and columns depict the structured data. The inline method describes the data within the HTML tags themselves. The following example illustrates how to specify size type and size system using schema.org. Special tools are needed to deal with unstructured data, further contributing to its lack of accessibility. By leveraging structured, semi-structured and unstructured data options, you can perform optimal data management that will ultimately benefit your mission. This presents a problem because weather reports are not structured data, they are free text. In the example below, both the name and the age . Longitude: 73 deg 59 min 8.5 dec W However, this also means that structured data is more inter-dependent and less flexible. Automation, NetSuite An example of JSON-LD structured data on a hypothetical web page for the fictional Paradise Pond. The value of adding longitude and latitude to the page in addition to literally putting Paradise Pond on the (Google) Map is that the web page can then become a reference point for articles about the general area. In other words, we can say that structured data increases the findability of the data. Unstructured data is very flexible in nature as it doesn't have any schema. The purpose of normal forms is to organize the structure of the database, so that it follows the rules of the first normal form, then the second normal form, and finally the third normal form. Emails. These are some benefits of unstructured data: It remains undefined until its needed, making it adaptable for data professionals to take only what they need for a specific query while storing most data in massive data lakes. Structured data breaks the complexity down into many fielded elements, an environment optimized for computers. Examples of Semi-Structured Data. But there are various alternative options for storing various types of unstructured data. Overall, there are four types of data used in machine learning: numeric, categorical (e.g., those wind speeds and temperatures from the weather example, which define certain characteristics of whatever is being analyzed), time series and text. Common examples of structured data are Excel files or SQL databases. At the same time, however, there are plenty of data points using existing vocabularies that contribute to those free-text reports: wind speeds, temperatures, relative humidity, precipitation these are all structured data components that computers can use. Copyright 2011-2021 www.javatpoint.com. Market predictions: Data can be maneuvered to predict changes in the stock market, so analysts can adjust their calculations and investment decisions. Its limited in usage, meaning it can only be used for its intended purpose. It is used to describe the contents of a page in a way that is machine-readable, particularly for search engines. Structured data depends on the existence of a data model a model of how data can be stored, processed and accessed. It is generally tabular with column and rows that clearly define its attributes. This data feeds directly into a store's systems, enabling inventory to be tracked and managed in near-real-time. Semi-structured data uses metadata (e.g., tags and semantic markers) to identify specific data characteristics and scale data into records and preset fields. Many Big Data solutions and tools have the ability to read and process either JSON or XML. The presence of publicAccess: true in the page schema is simple and definitive. Structured data helps convert all four from free-text into name-value pairs a data value and the name that explains what it represents that computers can understand. Data, including video, images, sounds, and text, are represented as binary values that mean either 0 or 1. Jobs that would typically work with either structured or unstructured data include most types of data-related careers. isAccessibleForFree: false, Structured Data. Structured Data Types in C Explained Srijan There are variables of different data types in C, such as int s, char s, and float s. And they let you store data. There are several types of data within the world of big data. Which of these methods is used depends on the kind of data being structured. In a very practical sense, structured data is used to help people find the information they are looking for faster. It takes a concerted effort to create and deploy structured data on a set of web pages. Here are some examples of the data types listed above that you might encounter when programming: Integer Integers are digits that account for whole numbers only. description: Paradise Pond is a small pond in Southern New Hampshire (USA) distinctive for being divided in half by a large island called Governor's Island. It is not only the volume of the data that has increased over time. "longitude": "73.98" } Figure 1: Example of structured data Typically, structured data is stored in spreadsheets (e.g. Note how some of the carousel results above for the "party coffee cake" search show the expected preparation time. Thus, the training set could contain a more complete picture of home-sales influences. It's usually stored in a database. Info, Highly defined, often uses a controlled and hierarchically organized vocabulary (aka, taxonomy), Useful for categorizing and analyzing data, Helps web pages get indexed more accurately by search sites, Hard to be sure search results are complete/authoritative, Difficult or even impossible to categorize and measure, Web pages must be interpreted by search sites. The term structured data is often associated with relational database management systems, which date back to 1970 and a mathematical theory developed by Edgar Codd at IBM's San Jose Research Laboratory. Structured Data can be seen in many places, especially with any information or processes that require a specific format for instance, the earlier example about inputting a new contact in. Structured data is data that uses a predefined and expected format. Here are a few common roles that work with data:. @context: https://schema.org, Some specific examples of structured data that machines create include blog statistics, barcodes and POS item quantity. In our previous post, we saw that unstructured data is usually complex and heterogeneous and cannot be mapped to a predefined structure such as a data table or a relational database. Structured Data Types Structure C++ construct that allows multiple variabls to be grouped together. The structure is a user-defined data type that stores data elements of similar or different types and different lengths. In the same situation, the news organization could find that it has in-depth coverage of a specific topic and, connecting that with the site traffic statistics, could decide to roll out a new product. It is precisely because these two steps are so compartmentalized that structured data on web pages has been adopted so slowly. Now, let us classify this vast amount of data in broadly two categories. Structured data is a system of pairing a name with a value that helps search engines categorize and index your content. The inline method describes the data within the HTML tags themselves. Data in the form of images, videos, audio, webpages, free text, and even social media content fall into this category. In C you can create a new type e.g. Alternatively, a web page about a specific product might use JSON-LD to put all the facts about the product, including the open text abstract, in one place on the page. In a business context, qualitative data can, for example, come from customer surveys, interviews, and social media interactions. This reduces the complexity to analyse structured data, compared to unstructured data. SearchEngineLand.com says rich snippets can increase the click-through rate by as much as 30%. Almost 80 to 85 percent of the data that is collected by all the major companies is unstructured data. Each of these breaks down further to explain, in great detail, the characteristics of the category. The structured data can always be stored in pre-designed fields, and it also has relational keys. The misunderstanding occurs because the concept of structured data has been applied to two different but equally important methods of creating, publishing and maintaining information in the modern world of connected commerce. One of its main benefits is to help make web pages more discoverable through search engines by potentially making them stand out from other listings. Structured data is also important because it can be used to analyze the effectiveness of data to help inform business decisions. Examples of unstructured data includes things like video, audio or image files, as well as log files, sensor or social media posts. Now let's look at more examples of structured data. In this program, we are storing the student name, id and age into the structure and accessing structure data members to display these values as an output. On the internet, it helps make information and web pages become more discoverable. Inline HTML formatted structured data describing the location of the Empire State Building. 6.8. Examples of unstructured data include text, video files, audio files, mobile activity, social media posts, satellite imagery, surveillance imagery - the list goes on and on. Share this page on LinkedIn Discover the products that 32,000+ customers depend on to fuel their growth. The two primary examples of where structured data is generated are databases and search algorithms. Schema.org was founded in 2011 by a consortium of search engines Google, Bing and Yahoo! Structured data types allow the creation of complex data types with nested record structures, arrays , and multisets For example: create type publisher as (name varchar ( 20 ), branch varchar ( 20 )); We can use this structure type data type to create table in SQL create table book_publish of publisher Summary They are single values whose size and type are fix and do not have any special methods. Africa, Middle This type of data is too complex to be parsed and interpreted. Distribution, Performance The JSON-LD method is a set of code that appears in the page header and describes the entire page. But structured data's usefulness goes well beyond search engine optimization. For example, one such category is "Place," which then breaks down into nine distinct sub-types all related to the topmost category. Unstructured Data can be either textual or non-textual data. Peter Casler, .cls-1 { The main difference is that structured data is defined and searchable. Structured data also has implications in areas like machine learning and predictive modeling. The smallest unit of data in a computer system is a bit, and a single value is represented using a bit. Management, Professional Services A photo taken on your iPhone is unstructured, but it might be accompanied by a timestamp and a geotagged location. } Services, System Excel files) or in relational databases. Semi-structured data is a mix of both types of data. Lets explore some of the key areas of difference and their implications: Semi-structured data (e.g., JSON, CSV, XML) is the bridge between structured and unstructured data. Structured vs. Unstructured Data: Whats the Difference? Unstructured data is everything else, which is more difficult to categorize or search, like photos, videos, podcasts, social media posts, and emails. Some integer examples include: 425 65 9 Character All three of these use existing vocabularies: numbers, dates and locations. Be the first to hear about news, product updates, and innovation from IBM Cloud. The data in the Unstructured data is not bounded or constrained by any kind of fixed schemas. Certification, Advanced Even though unstructured data is not structured in a predefined way, it has a native, internal structure. But structured data works in other ways, too. With this prominence comes a higher click-through rate. The structured data on the page describes the content of that page. So, this article helps us to have a better understanding and perspective of structured data and unstructured data. Looking at Structured, Unstructured, and Semi-Structured Data (with examples) October 29, 2021. trends. While no definitive taxonomy exists for all web pages, a website called schema.org has laid out a structured data protocol designed to help pages get indexed and appear in new ways within search engines. Graph data structures are used to represent relationships . The first letter of each word in a structured data type is capitalized . So it's quite challenging to process language and do a free text search of the unstructured content in the body or subject of an email and be reassured that the results are either comprehensive or authoritative. This can come from many different sources, but the common factor is that the fields are fixed, as is the way that it is stored (hence , structured). While hashtags fail at being either controlled or hierarchically organized two important attributes of structured data they excel at helping information become more discoverable, which is the main purpose of structured data. Structured data can make web pages appear more prominently in search results, which of course is the entire point of search engine optimization. longitude: 71.2147 For example, the first search result above contains both a star rating and a publication date. How Big Data Artificial Intelligence is Changing the Face of Traditional Big Data? Three kinds of data - structured, unstructured and semi-structured - are regularly used in data warehousing. While a human reading the web page could easily see that the first recipe takes 55 minutes, Google learns this information through structured data: Listed on the page is a snippet of structured data ("prepTime":"PT55M") that says the dish takes 55 minutes to prepare. Structured data generally exist in tables like excel files and Google Docs spreadsheets. This makes search operation hassle-free, Data mining is easy i.e knowledge can be easily extracted from data, Operations such as Updating and deleting is easy due to well structured form of data, Business Intelligence operations such as Data warehousing can be easily undertaken, Easily scalable in case there is an increment of data. In a set of photographs, for example, metadata could describe when and where the photos were taken. icons, By: MongoDB, for example, is optimised to store documents. Data type (numeric, text, date, boolean, etc.) Because of a data model, each field is discrete and can be accesses separately or jointly along with data from other fields. So, it becomes very important to classify the types of data that is getting generated. It is called big data. Please mail your requirement at [emailprotected] Duration: 1 week to 2 week. Attributes are properties that describe an instance of a type. Our first structured data type is the array. Structured data is the sort of data that is easily trackable. Emails are among the most popular unstructured data examples we use every day for business or personal purposes. @type: Pond, Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile. Structured data can be thought of in two different ways: 1. And while many people have more than one email address, they don't have an infinite number of email addresses. Database administrator: Database administrators act as technical support for databases, ensuring optimal performance by performing backups, data migrations, and load balancing. The second step is deploying the code for the structured data. } Structured vs. unstructured data. It's important to remember that this structured data is not describing the pond but, rather, the page about the pond. First, the structured data system must be created. Structured data is usually stored in well-defined schemas such as Databases. Each of these examples relate to existing vocabularies there is an existing vocabulary of colors, for example. This beginner's guide to structured data (or schema markup) answers those questions and more. Structures and unions will give you the chance to store non-homogenous data types into a single collection. They are typically used at distinct stages of processing, and different techniques are necessary to handle the three types. 6 min read, Share this page on Twitter The programming language SQL (structured query language) is used for managing the structured data. Heres a guide to structured and unstructured data. Examples of structured data include numbers, dates, and groups of words and numbers called strings. As a method that helps optimize data to fit into fields in a database. The U.S. National Library of Medicine produces more than 100 health care research databases covering everything from AIDS to Viral Genomes. ``Person''. Structured and unstructured data is sourced, collected and scaled in different ways, and each one resides in a different type of database. Part of the editorial function in this step is to declare which structured data attributes are to be used. In this article, well take a deep dive into both types so that you can get the most out of your data. Types of items described by schema. The ability to store and process unstructured data has greatly grown in recent years, with many new technologies and tools coming to the market that are able to store specialised types of unstructured data. Structured data is the data which conforms to a data model, has a well define structure, follows a consistent order and can be easily accessed and used by a person or a computer program. Structured data is data that uses a highly defined and limited vocabulary. Each is sourced and collected in different ways, living on different types of databases, so their differences are important for data professionals. You can provide essential clues to Google using structured data about a page's meaning to ease the process. & Dashboards, Application Without structured data, these rich snippet results would likely not have been in the top position. All data is not created equal. Array. The central hypothesis was that more information could be indexed more efficiently if content producers used schema a set of machine-readable descriptors to help search engines understand the content of a page. Schema.org says fewer than 1% of web pages use structured data to describe themselves so using structured data represents a potentially huge competitive advantage. During these operations, we don't normally think of what kind of applications we deal with and what types of data they process. Developed by JavaTpoint. It would not be possible to do an analysis of orders from Germany because people might have entered the country any number of ways: Germany, Deutschland, Federal Republic of Germany, or any of an infinite set of potential misspellings. { A byte is eight binary digits long. Select Start Tagging. A last category of data type is metadata. Structured data as a method for optimizing information is not new. Also, you'll see how many calories the lasagne contains. Accessories, Software & Technology Primitive data structures are fundamental data structures that are already defined by the language. But trying to find an email that mentions a particular phrase or concept is more problematic.