Data is everywhere; in the webpages you visit, in blog posts you read, on social media platforms you post on, the videos you watch – all of it and more. It would suffice to say that everything you do on the Internet creates data – as does everything you don’t. We generate nearly 2.5 quintillion bytes of information daily, while Google alone is estimated to store over 10 Exabytes of data on a daily basis.
Digital data from all the above sources and more contributes heavily to the massive influx of Big Data describes data collections so big that humans are not capable of sifting through all of it in a timely manner. However, with the help of algorithms it is usually possible to find patterns within the data so far hidden to human analyzers. and is changing how businesses operate. The quantity and variety of data and the speed at which it is generated and processed each minute makes this phenomenon truly “big”. It is these variables that define Big Data and make it such a dominant factor in manufacturing, sales, marketing, operations, marketing research and business analysis to name a few of its applications. Big Data has led to significant developments in analytics of both text and video, detecting fraud, and predicting consumer trends. However, while solving several problems for both businesses and consumers, Big Data brings with it challenges of its own.
The Future of Big Data
While methods of storing data and analyzing it have advanced considerably in the last 10 years, the fundamental systems based on Big Data have begun to create potential problems. As a result, businesses are left asking some pertinent questions that are relevant to the future of Big Data.
The volume of data out there is massive and what is needed is a system that can sift through it and make sense of it. While many Big Data systems are relatively new, they are becoming redundant or are overloaded, and are often incapable of responding to demands as they emerge and grow. Currently, all processes relating to Big Data are executed and overseen by humans. However, imagine if complex processes like extricating relevant data and refining it could be delegated to an intelligent machine. Putting other Big Data processes on auto mode and delegating the machine to manage it could make business processes quicker and smarter. Sounds exciting? This day, however, might just arrive earlier than we think. […]