{"id":1373,"date":"2020-07-20T12:54:38","date_gmt":"2020-07-20T07:24:38","guid":{"rendered":"http:\/\/blog.nuventure.in\/?p=1373"},"modified":"2026-10-30T17:11:53","modified_gmt":"2026-10-30T11:41:53","slug":"big-data-what-is-it","status":"publish","type":"post","link":"https:\/\/nuventure.com\/blog\/2020\/07\/20\/big-data-what-is-it\/","title":{"rendered":"What Is Big Data? The 4 Vs, Benefits and Big Data Technologies Explained."},"content":{"rendered":"\n<p>Big data has been a familiar buzzword for years, and \u201cdata is the new oil\u201d is a constant refrain. So what is big data, really? Why does it matter, and why are businesses investing so heavily in it? This guide covers the definition, the four Vs, the benefits, and the big data technologies used to handle it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Is Big Data?<\/h2>\n\n\n\n<p>Big data is exactly what it sounds like: data of very large volume that keeps growing. What defines it is that traditional hardware and software cannot analyse it and extract meaningful insight within a reasonable time.<\/p>\n\n\n\n<p>The shopping patterns of customers on an eCommerce website are an example of big data. So are the browsing habits of a particular demographic. Social media platforms and stock markets are huge sources too.<\/p>\n\n\n\n<p>We live in a world with no scarcity of data. Almost everyone carries a device full of sensors that connects to the internet, and every app on that device generates data about its users.<\/p>\n\n\n\n<p>Smartphones are only part of the picture. With the rise of IoT, sensors now generate data from almost every process, from logistics to <a href=\"https:\/\/nuventure.com\/blog\/2019\/07\/08\/ai-and-the-agricultural-revolution\/\">agriculture<\/a> and from traffic patterns to <a href=\"https:\/\/nuventure.com\/blog\/2020\/04\/01\/yeah-were-in-the-future-we-have-driverless-cars-i-guess\/\">self-driving cars<\/a>. <a href=\"https:\/\/www.tuxera.com\/blog\/autonomous-cars-300-tb-of-data-per-year\/\">A single self-driving car currently generates around 25GB of data every hour,<\/a> which adds up to roughly 380 TB a year. The frontier is already moving to even smaller sensors, as we explored in <a href=\"https:\/\/nuventure.com\/blog\/2020\/07\/22\/smart-dust-the-next-big-thing-in-iot\/\">Smart Dust Technology: The Next Big Thing in IoT?<\/a><\/p>\n\n\n\n<p>In many ways, capturing data is no longer the hard part. Storing and analysing it is.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The 4 Vs of Big Data<\/h2>\n\n\n\n<p>Big data is characterised by four Vs: Volume, Velocity, Variety and Veracity.<\/p>\n\n\n\n<p><strong>Volume.<\/strong> The sheer amount of data is what makes big data big. It is measured in exabytes (1 exabyte = 1,048,576 TB), which makes it both a problem and an opportunity.<\/p>\n\n\n\n<p><strong>Velocity.<\/strong> This is the rate at which data is generated. Data arrives continuously, whether it is user activity on social media or the thousands of tweets posted every second.<\/p>\n\n\n\n<p><strong>Variety.<\/strong> Collected data comes in many forms, and this is a major challenge. It can be structured or unstructured. Structured data follows a specific format, like a table of employee names, salaries and ages, so it is easy to analyse and visualise. Unstructured data is much harder. Understanding the actions of a population on social media, where pictures, videos and text are mixed together, is a good example.<\/p>\n\n\n\n<p><strong>Veracity.<\/strong> Collecting data has become easier, but the data may contain errors. Sensors are not always perfect, and the data may not represent the complete situation. Data quality also goes hand in hand with responsible use, a theme we covered in <a href=\"https:\/\/nuventure.com\/blog\/2020\/05\/15\/ethical-dilemmas-of-modern-day-tech-part-4\/\">Ethical dilemmas of modern day tech: Part 4<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Benefits of Big Data<\/h2>\n\n\n\n<p>Optimisation is the simplest way to describe the benefits of big data. More data lets you predict more, which leads to better decisions and greater efficiency.<\/p>\n\n\n\n<p><strong>Better insight into system behaviour.<\/strong> Large-scale data gives accurate insights into how a system behaves. Airlines can combine passenger numbers, weather patterns and diversions to plan routes more efficiently. Data from assembly lines can reveal bottlenecks and show where to improve.<\/p>\n\n\n\n<p><strong>Better decisions.<\/strong> Decisions based on large data sets tend to produce better results because they rest on a fuller understanding. This has been proven repeatedly in drug testing, where trials across a large and diverse group give a clearer picture of effectiveness and side effects. It is also why Tesla has an advantage in self-driving: its cars collect huge amounts of data every second and encounter even the rare edge cases.<\/p>\n\n\n\n<p><strong>Cost savings.<\/strong> Consider maintenance in a manufacturing unit. Routine maintenance at fixed intervals causes unnecessary production delays, while waiting for a breakdown leads to expensive repairs and costly shutdowns. Predicting when maintenance is actually needed is the best of both, and big data makes that possible.<\/p>\n\n\n\n<p>Warehousing is another example. Storing an entire product catalogue in large quantities in many locations is expensive. With big data analysis, an eCommerce business can predict which products, and how many, to keep in each warehouse for quick delivery.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Big Data Technologies<\/h2>\n\n\n\n<p>Handling big data takes a stack of specialised tools. These are the big data technologies most commonly used across storage, mining and visualisation.<\/p>\n\n\n\n<p><strong>For storage: Hadoop and MongoDB<\/strong><br><a href=\"https:\/\/www.mongodb.com\/\">MongoDB<\/a> is a distributed NoSQL database that is document oriented and stores data in a JSON-like format. It is widely used for big data processing. <a href=\"https:\/\/hadoop.apache.org\/\">Hadoop<\/a> is a collection of software for storing and processing large amounts of data across a network of computers. Its main components are the Hadoop Distributed File System (HDFS) for storage and Hadoop YARN, which allocates computing resources.<\/p>\n\n\n\n<p><strong>For data mining: Presto and RapidMiner<\/strong><br><a href=\"https:\/\/prestodb.io\/\">Presto<\/a> is an open-source, high-performance query engine for big data that works with Hadoop and MongoDB. It was originally designed at Facebook and is now community driven. <a href=\"https:\/\/rapidminer.com\/glossary\/data-mining-tools\/\">RapidMiner<\/a> was developed around 2001 as YALE (Yet Another Learning Environment) and is used for deep learning, text mining and predictive analytics.<\/p>\n\n\n\n<p><strong>For visualisation and analysis: Tableau and Plotly<\/strong><br>Visualisation tools like Tableau help even non-technical users understand data and draw conclusions for decision making. Plotly is another popular tool for big data visualisation and analytics.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Turning Data Into Decisions<\/h2>\n\n\n\n<p>Understanding what big data is and choosing the right big data technologies is only the beginning. The real value comes from collecting data at the source and acting on it. As IoT sensors keep generating data from factories, farms and vehicles, the businesses that capture, store and analyse it well will gain the advantage. If you are looking to turn connected device data into better decisions, our <a href=\"https:\/\/nuventure.com\/iot-development\/\">IoT solutions <\/a>are built to help you do exactly that.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Big data has been a familiar buzzword for years, and \u201cdata is the new oil\u201d is a constant refrain. So what is big data, really? Why does it matter, and why are businesses investing so heavily in it? This guide covers the definition, the four Vs, the benefits, and the big data technologies used to [&hellip;]<\/p>\n","protected":false},"author":100,"featured_media":1375,"comment_status":"open","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"footnotes":""},"categories":[126,32],"tags":[],"class_list":["post-1373","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-news","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Big Data Analytics: Benefits, Technologies and Applications<\/title>\n<meta name=\"description\" content=\"Discover how big data analytics helps businesses improve decision-making, optimise operations and reduce costs. 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